This is a hybrid position requiring an on-site presence 3 to 4 days per week. Please note that the number of on-site days may increase based on business needs. LOCATION: 1390 Enclave Parkway Houston, TX 77077 Job Summary Sysco is one of the largest eCommerce companies in the US - a well-kept secret within the industry, and this role will be instrumental to driving growth by incubating new eCommerce and digital offerings. The Director, eCommerce & Digital Growth will lead a team to bring new eCommerce & digital products, services, and programs to market. This role will focus on standing up new eCommerce and/or digital capabilities, as well as the full set of required underlying enablers across functions, such as technology, merchandising, pricing, supply chain, operations, and others depending on the nature of the new program being brought to market. The Director, eCommerce & Digital Growth will work with the Sysco leadership team, enterprise strategy counterparts, and business leads to move forward the program strategy, identify key priorities and choices that allow Sysco to deliver as part of the program strategy, and manage trade-offs required to realize the vision. Success in this role will require close partnership with a cross-functional team to enable new offerings, design all components of new programs, execute pilots to test, learn, and iterate, and then ultimately scale-up. The ideal candidate will thrive in an environment that requires entrepreneurship within a complex, matrixed organization and understands how to build new capabilities while leveraging the expertise and scale of a Fortune 500 company. Responsibilities will include designing new customer programs and digital offerings, building products / services, driving analyses, developing enablers, and launching, piloting, iterating, and scaling new digital products, services, and programs in collaboration w/ cross-functional teams. This role will also be responsible for delivering new capabilities for Sysco that will scale enterprise wide. Duties and Responsibilities Lead end-to-end incubation and scale-up of new digital and eCommerce programs, products, and services to drive customer acquisition and share of wallet expansion, including go-to-market design, offering iteration, pilot design and execution, and scale-up Develop end-to-end customer experience for new programs and provide program requirements to technology teams to build eCommerce and/or digital experience Collaborate with pricing, merchandising, and enterprise analytics teams to define pricing strategy Work with marketing to develop go-to-market plan, marketing campaigns, and content to support commercialization. Lead program commercialization to drive acquisition and penetration of customers by leveraging both sales and direct to customer channels Work cross-functionally with supply chain management and operating sites to ensure strong change management to support any new offerings with operational implications Lead direct team and cross-functional team to design pilot tests and to launch, pilot, and iterate offerings in test markets. Manage P&L (i.e., against revenue targets and incurrence of costs/investments to support growth). Build and execute scale-up plan based on pilot learnings Actively analyze performance through web analytics and report out on program performance to the broader commercial teams Present on growth roadmap and program results to ELT, including CEO Education Bachelor's degree in a Technical Field (Engineering/Computer Science/Mathematics) required MBA preferred At least 4-6 years of experience post MBA Engagement Manager with top-tier management consulting firm with significant case work in development and implementation of growth strategies Experience managing new eCommerce product or service introductions across launch, pilot, and scale-up phases for large B2B or B2C companies Experience Required: Experience building new customer programs from the ground up, including product and/or service development, end-to-end digital and customer experience, go-to-market and pilot design, and collaboration with cross-functional team to launch, pilot, and scale Track record of building and managing strategic partnerships to enhance customer programs Strong knowledge of technologies associated with end-to-end execution of marketing campaigns (e.g., Google Marketing Platform - Analytics, Search Ads, Display & Video, Facebook Business Manager, Salesforce Marketing Cloud, other DMP/CDP, etc.) Analytical mindset and proven ability to use data to test, rapidly learn, and iterate to optimize program performance Executive presence and experience communicating effectively with technical and non-technical individuals Experience influencing teams outside of your direct purview Preferred: Past P&L owner of an eCommerce line of business a plus Significant experience working with data science tools and visualization packages (i.e. Python, R, SQL, Tableau, Alteryx) Strong data analytical skills and proven experience developing and using tools to analyze large data sets to drive decisions Experience working in highly matrixed organization Technical Skills and Abilities Strong understanding of technology, pricing, merchandising, supply chain management, operations, marketing & sales, and finance Experience with product launch calendaring and managing against deadlines Proficiency in eCommerce platforms, site analytics tools (e.g. Adobe Analytics, Google Analytics), and personalization tools/concepts Customer-obsessed, focused on building a best-in-class digital and customer experience Strong interpersonal, leadership, communication, and presentation skills Proven experience to get work done in a complex, matrixed organization Ability to think strategically and tactically from customer perspective Ability to structure unique problems and lead cross-functional teams in a way that enables the organization to make significant progress quickly Strong ability to manage ambiguity and guide the organization through it towards clear and decisive action plans Ability to understand and manage P&L Strong project leadership and management background Proven success in change management Excellent analytic and problem-solving skills Proven ability to establish credibility and influence executive-level stakeholders as well as the ability to work across boundaries and lead through influence Strong communication and collaboration skills Leader/doer with the ability to operate effectively and influence others in a matrix organization Excellent pattern recognition and predictive modeling skills Self-starter with a strong ability to lead and develop a new team Experience in a startup-like environment and ability to foresee the needs of the organization, plan accordingly and direct the team to achieve quick wins and long-term success Professional attitude, service orientation, strong work ethic; superb team player Excels in nebulous environments where the path to address a problem is not always clear or direct Approaches every problem with an outside-in perspective first and does not allow the status quo to influence your analysis Exceptional PowerPoint, Excel, and Microsoft Word skills Additional Requirements Physical Demands Reasonable accommodations will be made to enable individuals with disabilities to perform the essential functions of this job. Standard for corporate office Travel Requirements: Up to 25% Work Environment: Standard for corporate office Decision Making Authority Decisions to be made independently without direction or supervision: Make decisions across variety of execution areas. Upfront strategy, design, and approach to be done collaboratively with direction. Decisions made with review/approval of other individuals/leadership Upfront strategy, design, and approach to be done collaboratively with review/approval.
08/05/2026
Full time
This is a hybrid position requiring an on-site presence 3 to 4 days per week. Please note that the number of on-site days may increase based on business needs. LOCATION: 1390 Enclave Parkway Houston, TX 77077 Job Summary Sysco is one of the largest eCommerce companies in the US - a well-kept secret within the industry, and this role will be instrumental to driving growth by incubating new eCommerce and digital offerings. The Director, eCommerce & Digital Growth will lead a team to bring new eCommerce & digital products, services, and programs to market. This role will focus on standing up new eCommerce and/or digital capabilities, as well as the full set of required underlying enablers across functions, such as technology, merchandising, pricing, supply chain, operations, and others depending on the nature of the new program being brought to market. The Director, eCommerce & Digital Growth will work with the Sysco leadership team, enterprise strategy counterparts, and business leads to move forward the program strategy, identify key priorities and choices that allow Sysco to deliver as part of the program strategy, and manage trade-offs required to realize the vision. Success in this role will require close partnership with a cross-functional team to enable new offerings, design all components of new programs, execute pilots to test, learn, and iterate, and then ultimately scale-up. The ideal candidate will thrive in an environment that requires entrepreneurship within a complex, matrixed organization and understands how to build new capabilities while leveraging the expertise and scale of a Fortune 500 company. Responsibilities will include designing new customer programs and digital offerings, building products / services, driving analyses, developing enablers, and launching, piloting, iterating, and scaling new digital products, services, and programs in collaboration w/ cross-functional teams. This role will also be responsible for delivering new capabilities for Sysco that will scale enterprise wide. Duties and Responsibilities Lead end-to-end incubation and scale-up of new digital and eCommerce programs, products, and services to drive customer acquisition and share of wallet expansion, including go-to-market design, offering iteration, pilot design and execution, and scale-up Develop end-to-end customer experience for new programs and provide program requirements to technology teams to build eCommerce and/or digital experience Collaborate with pricing, merchandising, and enterprise analytics teams to define pricing strategy Work with marketing to develop go-to-market plan, marketing campaigns, and content to support commercialization. Lead program commercialization to drive acquisition and penetration of customers by leveraging both sales and direct to customer channels Work cross-functionally with supply chain management and operating sites to ensure strong change management to support any new offerings with operational implications Lead direct team and cross-functional team to design pilot tests and to launch, pilot, and iterate offerings in test markets. Manage P&L (i.e., against revenue targets and incurrence of costs/investments to support growth). Build and execute scale-up plan based on pilot learnings Actively analyze performance through web analytics and report out on program performance to the broader commercial teams Present on growth roadmap and program results to ELT, including CEO Education Bachelor's degree in a Technical Field (Engineering/Computer Science/Mathematics) required MBA preferred At least 4-6 years of experience post MBA Engagement Manager with top-tier management consulting firm with significant case work in development and implementation of growth strategies Experience managing new eCommerce product or service introductions across launch, pilot, and scale-up phases for large B2B or B2C companies Experience Required: Experience building new customer programs from the ground up, including product and/or service development, end-to-end digital and customer experience, go-to-market and pilot design, and collaboration with cross-functional team to launch, pilot, and scale Track record of building and managing strategic partnerships to enhance customer programs Strong knowledge of technologies associated with end-to-end execution of marketing campaigns (e.g., Google Marketing Platform - Analytics, Search Ads, Display & Video, Facebook Business Manager, Salesforce Marketing Cloud, other DMP/CDP, etc.) Analytical mindset and proven ability to use data to test, rapidly learn, and iterate to optimize program performance Executive presence and experience communicating effectively with technical and non-technical individuals Experience influencing teams outside of your direct purview Preferred: Past P&L owner of an eCommerce line of business a plus Significant experience working with data science tools and visualization packages (i.e. Python, R, SQL, Tableau, Alteryx) Strong data analytical skills and proven experience developing and using tools to analyze large data sets to drive decisions Experience working in highly matrixed organization Technical Skills and Abilities Strong understanding of technology, pricing, merchandising, supply chain management, operations, marketing & sales, and finance Experience with product launch calendaring and managing against deadlines Proficiency in eCommerce platforms, site analytics tools (e.g. Adobe Analytics, Google Analytics), and personalization tools/concepts Customer-obsessed, focused on building a best-in-class digital and customer experience Strong interpersonal, leadership, communication, and presentation skills Proven experience to get work done in a complex, matrixed organization Ability to think strategically and tactically from customer perspective Ability to structure unique problems and lead cross-functional teams in a way that enables the organization to make significant progress quickly Strong ability to manage ambiguity and guide the organization through it towards clear and decisive action plans Ability to understand and manage P&L Strong project leadership and management background Proven success in change management Excellent analytic and problem-solving skills Proven ability to establish credibility and influence executive-level stakeholders as well as the ability to work across boundaries and lead through influence Strong communication and collaboration skills Leader/doer with the ability to operate effectively and influence others in a matrix organization Excellent pattern recognition and predictive modeling skills Self-starter with a strong ability to lead and develop a new team Experience in a startup-like environment and ability to foresee the needs of the organization, plan accordingly and direct the team to achieve quick wins and long-term success Professional attitude, service orientation, strong work ethic; superb team player Excels in nebulous environments where the path to address a problem is not always clear or direct Approaches every problem with an outside-in perspective first and does not allow the status quo to influence your analysis Exceptional PowerPoint, Excel, and Microsoft Word skills Additional Requirements Physical Demands Reasonable accommodations will be made to enable individuals with disabilities to perform the essential functions of this job. Standard for corporate office Travel Requirements: Up to 25% Work Environment: Standard for corporate office Decision Making Authority Decisions to be made independently without direction or supervision: Make decisions across variety of execution areas. Upfront strategy, design, and approach to be done collaboratively with direction. Decisions made with review/approval of other individuals/leadership Upfront strategy, design, and approach to be done collaboratively with review/approval.
This is a hybrid position requiring an on-site presence 3 to 4 days per week. Please note that the number of on-site days may increase based on business needs. LOCATION: 1390 Enclave Parkway Houston, TX 77077 Job Summary Sysco is one of the largest eCommerce companies in the US - a well-kept secret within the industry, and this role will be instrumental to driving growth by incubating new eCommerce and digital offerings. The Director, eCommerce & Digital Growth will lead a team to bring new eCommerce & digital products, services, and programs to market. This role will focus on standing up new eCommerce and/or digital capabilities, as well as the full set of required underlying enablers across functions, such as technology, merchandising, pricing, supply chain, operations, and others depending on the nature of the new program being brought to market. The Director, eCommerce & Digital Growth will work with the Sysco leadership team, enterprise strategy counterparts, and business leads to move forward the program strategy, identify key priorities and choices that allow Sysco to deliver as part of the program strategy, and manage trade-offs required to realize the vision. Success in this role will require close partnership with a cross-functional team to enable new offerings, design all components of new programs, execute pilots to test, learn, and iterate, and then ultimately scale-up. The ideal candidate will thrive in an environment that requires entrepreneurship within a complex, matrixed organization and understands how to build new capabilities while leveraging the expertise and scale of a Fortune 500 company. Responsibilities will include designing new customer programs and digital offerings, building products / services, driving analyses, developing enablers, and launching, piloting, iterating, and scaling new digital products, services, and programs in collaboration w/ cross-functional teams. This role will also be responsible for delivering new capabilities for Sysco that will scale enterprise wide. Duties and Responsibilities Lead end-to-end incubation and scale-up of new digital and eCommerce programs, products, and services to drive customer acquisition and share of wallet expansion, including go-to-market design, offering iteration, pilot design and execution, and scale-up Develop end-to-end customer experience for new programs and provide program requirements to technology teams to build eCommerce and/or digital experience Collaborate with pricing, merchandising, and enterprise analytics teams to define pricing strategy Work with marketing to develop go-to-market plan, marketing campaigns, and content to support commercialization. Lead program commercialization to drive acquisition and penetration of customers by leveraging both sales and direct to customer channels Work cross-functionally with supply chain management and operating sites to ensure strong change management to support any new offerings with operational implications Lead direct team and cross-functional team to design pilot tests and to launch, pilot, and iterate offerings in test markets. Manage P&L (i.e., against revenue targets and incurrence of costs/investments to support growth). Build and execute scale-up plan based on pilot learnings Actively analyze performance through web analytics and report out on program performance to the broader commercial teams Present on growth roadmap and program results to ELT, including CEO Education Bachelor's degree in a Technical Field (Engineering/Computer Science/Mathematics) required MBA preferred At least 4-6 years of experience post MBA Engagement Manager with top-tier management consulting firm with significant case work in development and implementation of growth strategies Experience managing new eCommerce product or service introductions across launch, pilot, and scale-up phases for large B2B or B2C companies Experience Required: Experience building new customer programs from the ground up, including product and/or service development, end-to-end digital and customer experience, go-to-market and pilot design, and collaboration with cross-functional team to launch, pilot, and scale Track record of building and managing strategic partnerships to enhance customer programs Strong knowledge of technologies associated with end-to-end execution of marketing campaigns (e.g., Google Marketing Platform - Analytics, Search Ads, Display & Video, Facebook Business Manager, Salesforce Marketing Cloud, other DMP/CDP, etc.) Analytical mindset and proven ability to use data to test, rapidly learn, and iterate to optimize program performance Executive presence and experience communicating effectively with technical and non-technical individuals Experience influencing teams outside of your direct purview Preferred: Past P&L owner of an eCommerce line of business a plus Significant experience working with data science tools and visualization packages (i.e. Python, R, SQL, Tableau, Alteryx) Strong data analytical skills and proven experience developing and using tools to analyze large data sets to drive decisions Experience working in highly matrixed organization Technical Skills and Abilities Strong understanding of technology, pricing, merchandising, supply chain management, operations, marketing & sales, and finance Experience with product launch calendaring and managing against deadlines Proficiency in eCommerce platforms, site analytics tools (e.g. Adobe Analytics, Google Analytics), and personalization tools/concepts Customer-obsessed, focused on building a best-in-class digital and customer experience Strong interpersonal, leadership, communication, and presentation skills Proven experience to get work done in a complex, matrixed organization Ability to think strategically and tactically from customer perspective Ability to structure unique problems and lead cross-functional teams in a way that enables the organization to make significant progress quickly Strong ability to manage ambiguity and guide the organization through it towards clear and decisive action plans Ability to understand and manage P&L Strong project leadership and management background Proven success in change management Excellent analytic and problem-solving skills Proven ability to establish credibility and influence executive-level stakeholders as well as the ability to work across boundaries and lead through influence Strong communication and collaboration skills Leader/doer with the ability to operate effectively and influence others in a matrix organization Excellent pattern recognition and predictive modeling skills Self-starter with a strong ability to lead and develop a new team Experience in a startup-like environment and ability to foresee the needs of the organization, plan accordingly and direct the team to achieve quick wins and long-term success Professional attitude, service orientation, strong work ethic; superb team player Excels in nebulous environments where the path to address a problem is not always clear or direct Approaches every problem with an outside-in perspective first and does not allow the status quo to influence your analysis Exceptional PowerPoint, Excel, and Microsoft Word skills Additional Requirements Physical Demands Reasonable accommodations will be made to enable individuals with disabilities to perform the essential functions of this job. Standard for corporate office Travel Requirements: Up to 25% Work Environment: Standard for corporate office Decision Making Authority Decisions to be made independently without direction or supervision: Make decisions across variety of execution areas. Upfront strategy, design, and approach to be done collaboratively with direction. Decisions made with review/approval of other individuals/leadership Upfront strategy, design, and approach to be done collaboratively with review/approval.
08/05/2026
Full time
This is a hybrid position requiring an on-site presence 3 to 4 days per week. Please note that the number of on-site days may increase based on business needs. LOCATION: 1390 Enclave Parkway Houston, TX 77077 Job Summary Sysco is one of the largest eCommerce companies in the US - a well-kept secret within the industry, and this role will be instrumental to driving growth by incubating new eCommerce and digital offerings. The Director, eCommerce & Digital Growth will lead a team to bring new eCommerce & digital products, services, and programs to market. This role will focus on standing up new eCommerce and/or digital capabilities, as well as the full set of required underlying enablers across functions, such as technology, merchandising, pricing, supply chain, operations, and others depending on the nature of the new program being brought to market. The Director, eCommerce & Digital Growth will work with the Sysco leadership team, enterprise strategy counterparts, and business leads to move forward the program strategy, identify key priorities and choices that allow Sysco to deliver as part of the program strategy, and manage trade-offs required to realize the vision. Success in this role will require close partnership with a cross-functional team to enable new offerings, design all components of new programs, execute pilots to test, learn, and iterate, and then ultimately scale-up. The ideal candidate will thrive in an environment that requires entrepreneurship within a complex, matrixed organization and understands how to build new capabilities while leveraging the expertise and scale of a Fortune 500 company. Responsibilities will include designing new customer programs and digital offerings, building products / services, driving analyses, developing enablers, and launching, piloting, iterating, and scaling new digital products, services, and programs in collaboration w/ cross-functional teams. This role will also be responsible for delivering new capabilities for Sysco that will scale enterprise wide. Duties and Responsibilities Lead end-to-end incubation and scale-up of new digital and eCommerce programs, products, and services to drive customer acquisition and share of wallet expansion, including go-to-market design, offering iteration, pilot design and execution, and scale-up Develop end-to-end customer experience for new programs and provide program requirements to technology teams to build eCommerce and/or digital experience Collaborate with pricing, merchandising, and enterprise analytics teams to define pricing strategy Work with marketing to develop go-to-market plan, marketing campaigns, and content to support commercialization. Lead program commercialization to drive acquisition and penetration of customers by leveraging both sales and direct to customer channels Work cross-functionally with supply chain management and operating sites to ensure strong change management to support any new offerings with operational implications Lead direct team and cross-functional team to design pilot tests and to launch, pilot, and iterate offerings in test markets. Manage P&L (i.e., against revenue targets and incurrence of costs/investments to support growth). Build and execute scale-up plan based on pilot learnings Actively analyze performance through web analytics and report out on program performance to the broader commercial teams Present on growth roadmap and program results to ELT, including CEO Education Bachelor's degree in a Technical Field (Engineering/Computer Science/Mathematics) required MBA preferred At least 4-6 years of experience post MBA Engagement Manager with top-tier management consulting firm with significant case work in development and implementation of growth strategies Experience managing new eCommerce product or service introductions across launch, pilot, and scale-up phases for large B2B or B2C companies Experience Required: Experience building new customer programs from the ground up, including product and/or service development, end-to-end digital and customer experience, go-to-market and pilot design, and collaboration with cross-functional team to launch, pilot, and scale Track record of building and managing strategic partnerships to enhance customer programs Strong knowledge of technologies associated with end-to-end execution of marketing campaigns (e.g., Google Marketing Platform - Analytics, Search Ads, Display & Video, Facebook Business Manager, Salesforce Marketing Cloud, other DMP/CDP, etc.) Analytical mindset and proven ability to use data to test, rapidly learn, and iterate to optimize program performance Executive presence and experience communicating effectively with technical and non-technical individuals Experience influencing teams outside of your direct purview Preferred: Past P&L owner of an eCommerce line of business a plus Significant experience working with data science tools and visualization packages (i.e. Python, R, SQL, Tableau, Alteryx) Strong data analytical skills and proven experience developing and using tools to analyze large data sets to drive decisions Experience working in highly matrixed organization Technical Skills and Abilities Strong understanding of technology, pricing, merchandising, supply chain management, operations, marketing & sales, and finance Experience with product launch calendaring and managing against deadlines Proficiency in eCommerce platforms, site analytics tools (e.g. Adobe Analytics, Google Analytics), and personalization tools/concepts Customer-obsessed, focused on building a best-in-class digital and customer experience Strong interpersonal, leadership, communication, and presentation skills Proven experience to get work done in a complex, matrixed organization Ability to think strategically and tactically from customer perspective Ability to structure unique problems and lead cross-functional teams in a way that enables the organization to make significant progress quickly Strong ability to manage ambiguity and guide the organization through it towards clear and decisive action plans Ability to understand and manage P&L Strong project leadership and management background Proven success in change management Excellent analytic and problem-solving skills Proven ability to establish credibility and influence executive-level stakeholders as well as the ability to work across boundaries and lead through influence Strong communication and collaboration skills Leader/doer with the ability to operate effectively and influence others in a matrix organization Excellent pattern recognition and predictive modeling skills Self-starter with a strong ability to lead and develop a new team Experience in a startup-like environment and ability to foresee the needs of the organization, plan accordingly and direct the team to achieve quick wins and long-term success Professional attitude, service orientation, strong work ethic; superb team player Excels in nebulous environments where the path to address a problem is not always clear or direct Approaches every problem with an outside-in perspective first and does not allow the status quo to influence your analysis Exceptional PowerPoint, Excel, and Microsoft Word skills Additional Requirements Physical Demands Reasonable accommodations will be made to enable individuals with disabilities to perform the essential functions of this job. Standard for corporate office Travel Requirements: Up to 25% Work Environment: Standard for corporate office Decision Making Authority Decisions to be made independently without direction or supervision: Make decisions across variety of execution areas. Upfront strategy, design, and approach to be done collaboratively with direction. Decisions made with review/approval of other individuals/leadership Upfront strategy, design, and approach to be done collaboratively with review/approval.
This is a hybrid position requiring an on-site presence 3 to 4 days per week. Please note that the number of on-site days may increase based on business needs. LOCATION: 1390 Enclave Parkway Houston, TX 77077 Job Summary Sysco is one of the largest eCommerce companies in the US - a well-kept secret within the industry, and this role will be instrumental to driving growth by incubating new eCommerce and digital offerings. The Director, eCommerce & Digital Growth will lead a team to bring new eCommerce & digital products, services, and programs to market. This role will focus on standing up new eCommerce and/or digital capabilities, as well as the full set of required underlying enablers across functions, such as technology, merchandising, pricing, supply chain, operations, and others depending on the nature of the new program being brought to market. The Director, eCommerce & Digital Growth will work with the Sysco leadership team, enterprise strategy counterparts, and business leads to move forward the program strategy, identify key priorities and choices that allow Sysco to deliver as part of the program strategy, and manage trade-offs required to realize the vision. Success in this role will require close partnership with a cross-functional team to enable new offerings, design all components of new programs, execute pilots to test, learn, and iterate, and then ultimately scale-up. The ideal candidate will thrive in an environment that requires entrepreneurship within a complex, matrixed organization and understands how to build new capabilities while leveraging the expertise and scale of a Fortune 500 company. Responsibilities will include designing new customer programs and digital offerings, building products / services, driving analyses, developing enablers, and launching, piloting, iterating, and scaling new digital products, services, and programs in collaboration w/ cross-functional teams. This role will also be responsible for delivering new capabilities for Sysco that will scale enterprise wide. Duties and Responsibilities Lead end-to-end incubation and scale-up of new digital and eCommerce programs, products, and services to drive customer acquisition and share of wallet expansion, including go-to-market design, offering iteration, pilot design and execution, and scale-up Develop end-to-end customer experience for new programs and provide program requirements to technology teams to build eCommerce and/or digital experience Collaborate with pricing, merchandising, and enterprise analytics teams to define pricing strategy Work with marketing to develop go-to-market plan, marketing campaigns, and content to support commercialization. Lead program commercialization to drive acquisition and penetration of customers by leveraging both sales and direct to customer channels Work cross-functionally with supply chain management and operating sites to ensure strong change management to support any new offerings with operational implications Lead direct team and cross-functional team to design pilot tests and to launch, pilot, and iterate offerings in test markets. Manage P&L (i.e., against revenue targets and incurrence of costs/investments to support growth). Build and execute scale-up plan based on pilot learnings Actively analyze performance through web analytics and report out on program performance to the broader commercial teams Present on growth roadmap and program results to ELT, including CEO Education Bachelor's degree in a Technical Field (Engineering/Computer Science/Mathematics) required MBA preferred At least 4-6 years of experience post MBA Engagement Manager with top-tier management consulting firm with significant case work in development and implementation of growth strategies Experience managing new eCommerce product or service introductions across launch, pilot, and scale-up phases for large B2B or B2C companies Experience Required: Experience building new customer programs from the ground up, including product and/or service development, end-to-end digital and customer experience, go-to-market and pilot design, and collaboration with cross-functional team to launch, pilot, and scale Track record of building and managing strategic partnerships to enhance customer programs Strong knowledge of technologies associated with end-to-end execution of marketing campaigns (e.g., Google Marketing Platform - Analytics, Search Ads, Display & Video, Facebook Business Manager, Salesforce Marketing Cloud, other DMP/CDP, etc.) Analytical mindset and proven ability to use data to test, rapidly learn, and iterate to optimize program performance Executive presence and experience communicating effectively with technical and non-technical individuals Experience influencing teams outside of your direct purview Preferred: Past P&L owner of an eCommerce line of business a plus Significant experience working with data science tools and visualization packages (i.e. Python, R, SQL, Tableau, Alteryx) Strong data analytical skills and proven experience developing and using tools to analyze large data sets to drive decisions Experience working in highly matrixed organization Technical Skills and Abilities Strong understanding of technology, pricing, merchandising, supply chain management, operations, marketing & sales, and finance Experience with product launch calendaring and managing against deadlines Proficiency in eCommerce platforms, site analytics tools (e.g. Adobe Analytics, Google Analytics), and personalization tools/concepts Customer-obsessed, focused on building a best-in-class digital and customer experience Strong interpersonal, leadership, communication, and presentation skills Proven experience to get work done in a complex, matrixed organization Ability to think strategically and tactically from customer perspective Ability to structure unique problems and lead cross-functional teams in a way that enables the organization to make significant progress quickly Strong ability to manage ambiguity and guide the organization through it towards clear and decisive action plans Ability to understand and manage P&L Strong project leadership and management background Proven success in change management Excellent analytic and problem-solving skills Proven ability to establish credibility and influence executive-level stakeholders as well as the ability to work across boundaries and lead through influence Strong communication and collaboration skills Leader/doer with the ability to operate effectively and influence others in a matrix organization Excellent pattern recognition and predictive modeling skills Self-starter with a strong ability to lead and develop a new team Experience in a startup-like environment and ability to foresee the needs of the organization, plan accordingly and direct the team to achieve quick wins and long-term success Professional attitude, service orientation, strong work ethic; superb team player Excels in nebulous environments where the path to address a problem is not always clear or direct Approaches every problem with an outside-in perspective first and does not allow the status quo to influence your analysis Exceptional PowerPoint, Excel, and Microsoft Word skills Additional Requirements Physical Demands Reasonable accommodations will be made to enable individuals with disabilities to perform the essential functions of this job. Standard for corporate office Travel Requirements: Up to 25% Work Environment: Standard for corporate office Decision Making Authority Decisions to be made independently without direction or supervision: Make decisions across variety of execution areas. Upfront strategy, design, and approach to be done collaboratively with direction. Decisions made with review/approval of other individuals/leadership Upfront strategy, design, and approach to be done collaboratively with review/approval.
08/04/2026
Full time
This is a hybrid position requiring an on-site presence 3 to 4 days per week. Please note that the number of on-site days may increase based on business needs. LOCATION: 1390 Enclave Parkway Houston, TX 77077 Job Summary Sysco is one of the largest eCommerce companies in the US - a well-kept secret within the industry, and this role will be instrumental to driving growth by incubating new eCommerce and digital offerings. The Director, eCommerce & Digital Growth will lead a team to bring new eCommerce & digital products, services, and programs to market. This role will focus on standing up new eCommerce and/or digital capabilities, as well as the full set of required underlying enablers across functions, such as technology, merchandising, pricing, supply chain, operations, and others depending on the nature of the new program being brought to market. The Director, eCommerce & Digital Growth will work with the Sysco leadership team, enterprise strategy counterparts, and business leads to move forward the program strategy, identify key priorities and choices that allow Sysco to deliver as part of the program strategy, and manage trade-offs required to realize the vision. Success in this role will require close partnership with a cross-functional team to enable new offerings, design all components of new programs, execute pilots to test, learn, and iterate, and then ultimately scale-up. The ideal candidate will thrive in an environment that requires entrepreneurship within a complex, matrixed organization and understands how to build new capabilities while leveraging the expertise and scale of a Fortune 500 company. Responsibilities will include designing new customer programs and digital offerings, building products / services, driving analyses, developing enablers, and launching, piloting, iterating, and scaling new digital products, services, and programs in collaboration w/ cross-functional teams. This role will also be responsible for delivering new capabilities for Sysco that will scale enterprise wide. Duties and Responsibilities Lead end-to-end incubation and scale-up of new digital and eCommerce programs, products, and services to drive customer acquisition and share of wallet expansion, including go-to-market design, offering iteration, pilot design and execution, and scale-up Develop end-to-end customer experience for new programs and provide program requirements to technology teams to build eCommerce and/or digital experience Collaborate with pricing, merchandising, and enterprise analytics teams to define pricing strategy Work with marketing to develop go-to-market plan, marketing campaigns, and content to support commercialization. Lead program commercialization to drive acquisition and penetration of customers by leveraging both sales and direct to customer channels Work cross-functionally with supply chain management and operating sites to ensure strong change management to support any new offerings with operational implications Lead direct team and cross-functional team to design pilot tests and to launch, pilot, and iterate offerings in test markets. Manage P&L (i.e., against revenue targets and incurrence of costs/investments to support growth). Build and execute scale-up plan based on pilot learnings Actively analyze performance through web analytics and report out on program performance to the broader commercial teams Present on growth roadmap and program results to ELT, including CEO Education Bachelor's degree in a Technical Field (Engineering/Computer Science/Mathematics) required MBA preferred At least 4-6 years of experience post MBA Engagement Manager with top-tier management consulting firm with significant case work in development and implementation of growth strategies Experience managing new eCommerce product or service introductions across launch, pilot, and scale-up phases for large B2B or B2C companies Experience Required: Experience building new customer programs from the ground up, including product and/or service development, end-to-end digital and customer experience, go-to-market and pilot design, and collaboration with cross-functional team to launch, pilot, and scale Track record of building and managing strategic partnerships to enhance customer programs Strong knowledge of technologies associated with end-to-end execution of marketing campaigns (e.g., Google Marketing Platform - Analytics, Search Ads, Display & Video, Facebook Business Manager, Salesforce Marketing Cloud, other DMP/CDP, etc.) Analytical mindset and proven ability to use data to test, rapidly learn, and iterate to optimize program performance Executive presence and experience communicating effectively with technical and non-technical individuals Experience influencing teams outside of your direct purview Preferred: Past P&L owner of an eCommerce line of business a plus Significant experience working with data science tools and visualization packages (i.e. Python, R, SQL, Tableau, Alteryx) Strong data analytical skills and proven experience developing and using tools to analyze large data sets to drive decisions Experience working in highly matrixed organization Technical Skills and Abilities Strong understanding of technology, pricing, merchandising, supply chain management, operations, marketing & sales, and finance Experience with product launch calendaring and managing against deadlines Proficiency in eCommerce platforms, site analytics tools (e.g. Adobe Analytics, Google Analytics), and personalization tools/concepts Customer-obsessed, focused on building a best-in-class digital and customer experience Strong interpersonal, leadership, communication, and presentation skills Proven experience to get work done in a complex, matrixed organization Ability to think strategically and tactically from customer perspective Ability to structure unique problems and lead cross-functional teams in a way that enables the organization to make significant progress quickly Strong ability to manage ambiguity and guide the organization through it towards clear and decisive action plans Ability to understand and manage P&L Strong project leadership and management background Proven success in change management Excellent analytic and problem-solving skills Proven ability to establish credibility and influence executive-level stakeholders as well as the ability to work across boundaries and lead through influence Strong communication and collaboration skills Leader/doer with the ability to operate effectively and influence others in a matrix organization Excellent pattern recognition and predictive modeling skills Self-starter with a strong ability to lead and develop a new team Experience in a startup-like environment and ability to foresee the needs of the organization, plan accordingly and direct the team to achieve quick wins and long-term success Professional attitude, service orientation, strong work ethic; superb team player Excels in nebulous environments where the path to address a problem is not always clear or direct Approaches every problem with an outside-in perspective first and does not allow the status quo to influence your analysis Exceptional PowerPoint, Excel, and Microsoft Word skills Additional Requirements Physical Demands Reasonable accommodations will be made to enable individuals with disabilities to perform the essential functions of this job. Standard for corporate office Travel Requirements: Up to 25% Work Environment: Standard for corporate office Decision Making Authority Decisions to be made independently without direction or supervision: Make decisions across variety of execution areas. Upfront strategy, design, and approach to be done collaboratively with direction. Decisions made with review/approval of other individuals/leadership Upfront strategy, design, and approach to be done collaboratively with review/approval.
Job Description Architect the Future of Enterprise Intelligence TheSenior Data Architectprovides technical leadership across Hilti's data landscape shaping enterprise data strategy and designing scalable, secure, and well governed data platforms that power analytics, AI/ML, and intelligent applications. This role spanstraditional data management(DBMS, data modeling, warehousing, governance) andmodern cloud native/AI data engineeringon AWS, includingbronze, silver, gold patterns, Generation (RAG)for LLMs, and data products that serve Cloud-native SaaSapplication teams at global scale. You will collaborate with business stakeholders, data scientists, engineers, and platform teams to translate use cases intotarget data architectures, ensuring performance, reliability, security, and cost efficiency at global scale. What You'll do Modern Data Platform on One or More Cloud Platforms Architect end-to-end pipelines across from raw to polished layers using Cloud native services such asS3, Glue (ETL & Data Catalog), Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Step Functions, Lambda, EventBridge. Define storage/format strategies (e.g.,Parquet/Delta/Apache Iceberg) and partitioning, compaction, and indexing for performance and cost. Implementrow/ column level security, encryption (KMS), secrets management, and fine-grained authorization viaIAM/Lake Formation. AI/ML & Amazon Bedrock Data Foundations Design datasets andfeature/knowledgelayers to supportSageMakertraining/inference andAmazon Bedrockapplications (e.g.,Knowledge Bases,Guardrails,Agents, and Invoke Model/Converse orchestration). LeadRAGarchitectures (chunking, embeddings, retrieval) usingvector databasessuch asAmazon OpenSearch Serverless (vector search)orAurora PostgreSQL + pgvector; define evaluation and feedback loops to improve answer quality. Setprompt, context, and token budgetstandards; guide teams on safe data handling for LLMs (PII redaction, policy driven filters, secured context injection). Tradition Data Architecture & DBMS Excellence Provide deep expertise in relational and NoSQL systems:SQL Server,PostgreSQL,MongoDB, includingschema design, indexing, query/perf tuning, replication, partitioning, and HA/DR. Design and governEDW/ Lakehouse/ODSpatterns ; integrate with.NET/C andAngularfrontends via well designed APIs and data contracts. Integration, Interoperability & Application Alignment DefineAPI and data contract standards(REST/GraphQL, Protobuf/Avro/JSON), ensuring consistent versioning and backward compatibility for.NET/C. Orchestrate ingestion fromSAP, Salesforce, IoT/telemetry, external data sources, and partner ecosystems; standardize CDC and streaming patterns (e.g.,MSK/Kinesis,DMS,Glue). Partner with Solution/Platform Architects to ensuremicroservicesandevent drivendesigns are data efficient and observability ready. Data Governance, Quality & Observability Implementdata governance(policies, stewardship, data classification),cataloging(Glue Data Catalog),lineage(Open Lineage compatible), andquality(rules, thresholds, SLAs/SLOs). Embedmonitoring & cost governance(CloudWatch, CloudTrail, Cost Explorer, Lake Formation audit, data access logs) and drive continuous optimization (storage tiers, compaction, pruning). Security, Compliance & Risk Enforce privacy and compliance (e.g., GDPR) withdata minimization, tokenization, masking, andaccess controlsacross environments. Define secure patterns formodel inputs/outputs(LLM safety),prompt hygiene, andguardrailsto prevent leakage or misuse. Delivery Leadership & Collaboration Producearchitecture blueprints, target state designs, andbuild/run guardrails; guide PoCs and pilots to derisk solutions. Mentor data engineers, analysts, and junior architects; leaddesign reviews,threat modeling, andcost/performancereviews. Communicate clearly with technical and nontechnical stakeholders, champion a culture ofengineering excellenceandlearning. What You'll Bring This position is not eligible for employer-sponsored work authorization or visa sponsorship (including initial, transfer, or extension), and candidates must be authorized to work in the United States at the time of application and remain authorized for the duration of employment without the need for sponsorship. Bachelor's or master's incomputer science, Information Systems, Data Engineering, or related field (or equivalent experience). Relevant certifications a plus (e.g.,AWS Data Analytics/Solutions Architect preferred). 10+ yearsdesigning and delivering enterprise data solutions, includinghands-onwork with bothtraditional DBMSandcloud nativedata platforms. 5+ yearsbuilding on cloud platformswith production experience in several of:S3, Glue, Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Lambda, Step Functions, EventBridge, SageMaker. Demonstrated expertise implementingdata propagation Lakehousepatterns and governanceat scale. Proven track record supportingAI/MLworkloads (feature stores, model data pipelines) and deliveringRAGsolutions with vector search on AWS. StrongSQLandPython; proficiency indata modeling-IFC (preferred),3NF, dimensional/star, data vault, etc. DBMS:SQL Server,PostgreSQL(schema, indexing, query planning, replication/HA, partitioning, backup/restore). Data Engineering:Spark/EMR,Glue(ETL/ELT & Studio),Airflow/Step Functionsorchestration,Parquet/Delta/Iceberg. Streaming/CDC:MSK/Kinesis,DMS(change data capture),event drivenpatterns. Security & Governance:IAM,KMS,Lake Formation,Secrets Manager, data masking/tokenization, RBAC/ABAC. AI/LLM enablement:Amazon Bedrock(Knowledge Bases, Guardrails, Agents), embeddings, chunking, retrieval,prompt design,token optimization, evaluation loops. Observability & FinOps: Cloud logs/metrics, lineage/quality SLAs,cost controls(storage/compute), workload rightsizing. DevOps/MLOps/IaC:Git,CI/CDfor data pipelines;Terraform/CDK; environment promotion; artifact/versioning ; blue/green or canary for data jobs. Preferred Skills Experience withRedshift RA3/Spectrum,materialized views,workload management, and federated queries (Athena/Glue). Familiarity withPower BI/Microsoft FabricandAmazon Quick Sight; semantic modeling and governance for BI. Exposure to privacy enhancing technologies(anonymization, differential privacy),policy as code, andguardrailframeworks. Experience working withgeographically distributed teamsandregulated data. Strategic thinking with the ability to balance short-term incrementsandlong term architecture. Excellent written and verbal communication, facilitation of architecture decisions, and stakeholder alignment. Mentoring mindset and demonstrated influence without authority across cross functional teams. What's In It for You We're a big company with a family-owned feel. You will be given the opportunity to make big changes that will ripple throughout the industry while feeling right at home with the Hilti family. In addition to a competitive base salary and bonus potential, we offer a robust benefits package including a generous paid time off policy that includes vacation, personal days, health & wellness, and 2 days per year to give back in your local community, paid family leave, educational reimbursement, 401(k) matching, medical/dental/vision coverage, and a variety of other benefits to fit the needs of our employees. Why Hilti Hilti is a global leader in construction innovation, with more than 34,000 team members across 120 countries. Guided by our purpose, Making Construction Better, we're driven to keep learning, growing, and finding new ways to make a lasting impact. Here, you'll be empowered to use your strengths, work with a global and inclusive team, and take on meaningful challenges. At Hilti, you'll have the chance to make your ideas, achievements, and growth real through purpose, passion, and teamwork. Commitment to Inclusion At Hilti, inclusion is a key focus in how we work, lead, and grow together. We are committed to embracing diversity of thought and creating an environment that is inclusive of everyone, everywhere. We continuously strive to ensure every voice is valued and every team member feels empowered to contribute. By building on this foundation, we strengthen our teams, our innovation, and our impact, making construction better together. Hilti Inc is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.
08/04/2026
Full time
Job Description Architect the Future of Enterprise Intelligence TheSenior Data Architectprovides technical leadership across Hilti's data landscape shaping enterprise data strategy and designing scalable, secure, and well governed data platforms that power analytics, AI/ML, and intelligent applications. This role spanstraditional data management(DBMS, data modeling, warehousing, governance) andmodern cloud native/AI data engineeringon AWS, includingbronze, silver, gold patterns, Generation (RAG)for LLMs, and data products that serve Cloud-native SaaSapplication teams at global scale. You will collaborate with business stakeholders, data scientists, engineers, and platform teams to translate use cases intotarget data architectures, ensuring performance, reliability, security, and cost efficiency at global scale. What You'll do Modern Data Platform on One or More Cloud Platforms Architect end-to-end pipelines across from raw to polished layers using Cloud native services such asS3, Glue (ETL & Data Catalog), Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Step Functions, Lambda, EventBridge. Define storage/format strategies (e.g.,Parquet/Delta/Apache Iceberg) and partitioning, compaction, and indexing for performance and cost. Implementrow/ column level security, encryption (KMS), secrets management, and fine-grained authorization viaIAM/Lake Formation. AI/ML & Amazon Bedrock Data Foundations Design datasets andfeature/knowledgelayers to supportSageMakertraining/inference andAmazon Bedrockapplications (e.g.,Knowledge Bases,Guardrails,Agents, and Invoke Model/Converse orchestration). LeadRAGarchitectures (chunking, embeddings, retrieval) usingvector databasessuch asAmazon OpenSearch Serverless (vector search)orAurora PostgreSQL + pgvector; define evaluation and feedback loops to improve answer quality. Setprompt, context, and token budgetstandards; guide teams on safe data handling for LLMs (PII redaction, policy driven filters, secured context injection). Tradition Data Architecture & DBMS Excellence Provide deep expertise in relational and NoSQL systems:SQL Server,PostgreSQL,MongoDB, includingschema design, indexing, query/perf tuning, replication, partitioning, and HA/DR. Design and governEDW/ Lakehouse/ODSpatterns ; integrate with.NET/C andAngularfrontends via well designed APIs and data contracts. Integration, Interoperability & Application Alignment DefineAPI and data contract standards(REST/GraphQL, Protobuf/Avro/JSON), ensuring consistent versioning and backward compatibility for.NET/C. Orchestrate ingestion fromSAP, Salesforce, IoT/telemetry, external data sources, and partner ecosystems; standardize CDC and streaming patterns (e.g.,MSK/Kinesis,DMS,Glue). Partner with Solution/Platform Architects to ensuremicroservicesandevent drivendesigns are data efficient and observability ready. Data Governance, Quality & Observability Implementdata governance(policies, stewardship, data classification),cataloging(Glue Data Catalog),lineage(Open Lineage compatible), andquality(rules, thresholds, SLAs/SLOs). Embedmonitoring & cost governance(CloudWatch, CloudTrail, Cost Explorer, Lake Formation audit, data access logs) and drive continuous optimization (storage tiers, compaction, pruning). Security, Compliance & Risk Enforce privacy and compliance (e.g., GDPR) withdata minimization, tokenization, masking, andaccess controlsacross environments. Define secure patterns formodel inputs/outputs(LLM safety),prompt hygiene, andguardrailsto prevent leakage or misuse. Delivery Leadership & Collaboration Producearchitecture blueprints, target state designs, andbuild/run guardrails; guide PoCs and pilots to derisk solutions. Mentor data engineers, analysts, and junior architects; leaddesign reviews,threat modeling, andcost/performancereviews. Communicate clearly with technical and nontechnical stakeholders, champion a culture ofengineering excellenceandlearning. What You'll Bring This position is not eligible for employer-sponsored work authorization or visa sponsorship (including initial, transfer, or extension), and candidates must be authorized to work in the United States at the time of application and remain authorized for the duration of employment without the need for sponsorship. Bachelor's or master's incomputer science, Information Systems, Data Engineering, or related field (or equivalent experience). Relevant certifications a plus (e.g.,AWS Data Analytics/Solutions Architect preferred). 10+ yearsdesigning and delivering enterprise data solutions, includinghands-onwork with bothtraditional DBMSandcloud nativedata platforms. 5+ yearsbuilding on cloud platformswith production experience in several of:S3, Glue, Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Lambda, Step Functions, EventBridge, SageMaker. Demonstrated expertise implementingdata propagation Lakehousepatterns and governanceat scale. Proven track record supportingAI/MLworkloads (feature stores, model data pipelines) and deliveringRAGsolutions with vector search on AWS. StrongSQLandPython; proficiency indata modeling-IFC (preferred),3NF, dimensional/star, data vault, etc. DBMS:SQL Server,PostgreSQL(schema, indexing, query planning, replication/HA, partitioning, backup/restore). Data Engineering:Spark/EMR,Glue(ETL/ELT & Studio),Airflow/Step Functionsorchestration,Parquet/Delta/Iceberg. Streaming/CDC:MSK/Kinesis,DMS(change data capture),event drivenpatterns. Security & Governance:IAM,KMS,Lake Formation,Secrets Manager, data masking/tokenization, RBAC/ABAC. AI/LLM enablement:Amazon Bedrock(Knowledge Bases, Guardrails, Agents), embeddings, chunking, retrieval,prompt design,token optimization, evaluation loops. Observability & FinOps: Cloud logs/metrics, lineage/quality SLAs,cost controls(storage/compute), workload rightsizing. DevOps/MLOps/IaC:Git,CI/CDfor data pipelines;Terraform/CDK; environment promotion; artifact/versioning ; blue/green or canary for data jobs. Preferred Skills Experience withRedshift RA3/Spectrum,materialized views,workload management, and federated queries (Athena/Glue). Familiarity withPower BI/Microsoft FabricandAmazon Quick Sight; semantic modeling and governance for BI. Exposure to privacy enhancing technologies(anonymization, differential privacy),policy as code, andguardrailframeworks. Experience working withgeographically distributed teamsandregulated data. Strategic thinking with the ability to balance short-term incrementsandlong term architecture. Excellent written and verbal communication, facilitation of architecture decisions, and stakeholder alignment. Mentoring mindset and demonstrated influence without authority across cross functional teams. What's In It for You We're a big company with a family-owned feel. You will be given the opportunity to make big changes that will ripple throughout the industry while feeling right at home with the Hilti family. In addition to a competitive base salary and bonus potential, we offer a robust benefits package including a generous paid time off policy that includes vacation, personal days, health & wellness, and 2 days per year to give back in your local community, paid family leave, educational reimbursement, 401(k) matching, medical/dental/vision coverage, and a variety of other benefits to fit the needs of our employees. Why Hilti Hilti is a global leader in construction innovation, with more than 34,000 team members across 120 countries. Guided by our purpose, Making Construction Better, we're driven to keep learning, growing, and finding new ways to make a lasting impact. Here, you'll be empowered to use your strengths, work with a global and inclusive team, and take on meaningful challenges. At Hilti, you'll have the chance to make your ideas, achievements, and growth real through purpose, passion, and teamwork. Commitment to Inclusion At Hilti, inclusion is a key focus in how we work, lead, and grow together. We are committed to embracing diversity of thought and creating an environment that is inclusive of everyone, everywhere. We continuously strive to ensure every voice is valued and every team member feels empowered to contribute. By building on this foundation, we strengthen our teams, our innovation, and our impact, making construction better together. Hilti Inc is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.
Job Description Architect the Future of Enterprise Intelligence TheSenior Data Architectprovides technical leadership across Hilti's data landscape shaping enterprise data strategy and designing scalable, secure, and well governed data platforms that power analytics, AI/ML, and intelligent applications. This role spanstraditional data management(DBMS, data modeling, warehousing, governance) andmodern cloud native/AI data engineeringon AWS, includingbronze, silver, gold patterns, Generation (RAG)for LLMs, and data products that serve Cloud-native SaaSapplication teams at global scale. You will collaborate with business stakeholders, data scientists, engineers, and platform teams to translate use cases intotarget data architectures, ensuring performance, reliability, security, and cost efficiency at global scale. What You'll do Modern Data Platform on One or More Cloud Platforms Architect end-to-end pipelines across from raw to polished layers using Cloud native services such asS3, Glue (ETL & Data Catalog), Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Step Functions, Lambda, EventBridge. Define storage/format strategies (e.g.,Parquet/Delta/Apache Iceberg) and partitioning, compaction, and indexing for performance and cost. Implementrow/ column level security, encryption (KMS), secrets management, and fine-grained authorization viaIAM/Lake Formation. AI/ML & Amazon Bedrock Data Foundations Design datasets andfeature/knowledgelayers to supportSageMakertraining/inference andAmazon Bedrockapplications (e.g.,Knowledge Bases,Guardrails,Agents, and Invoke Model/Converse orchestration). LeadRAGarchitectures (chunking, embeddings, retrieval) usingvector databasessuch asAmazon OpenSearch Serverless (vector search)orAurora PostgreSQL + pgvector; define evaluation and feedback loops to improve answer quality. Setprompt, context, and token budgetstandards; guide teams on safe data handling for LLMs (PII redaction, policy driven filters, secured context injection). Tradition Data Architecture & DBMS Excellence Provide deep expertise in relational and NoSQL systems:SQL Server,PostgreSQL,MongoDB, includingschema design, indexing, query/perf tuning, replication, partitioning, and HA/DR. Design and governEDW/ Lakehouse/ODSpatterns ; integrate with.NET/C andAngularfrontends via well designed APIs and data contracts. Integration, Interoperability & Application Alignment DefineAPI and data contract standards(REST/GraphQL, Protobuf/Avro/JSON), ensuring consistent versioning and backward compatibility for.NET/C. Orchestrate ingestion fromSAP, Salesforce, IoT/telemetry, external data sources, and partner ecosystems; standardize CDC and streaming patterns (e.g.,MSK/Kinesis,DMS,Glue). Partner with Solution/Platform Architects to ensuremicroservicesandevent drivendesigns are data efficient and observability ready. Data Governance, Quality & Observability Implementdata governance(policies, stewardship, data classification),cataloging(Glue Data Catalog),lineage(Open Lineage compatible), andquality(rules, thresholds, SLAs/SLOs). Embedmonitoring & cost governance(CloudWatch, CloudTrail, Cost Explorer, Lake Formation audit, data access logs) and drive continuous optimization (storage tiers, compaction, pruning). Security, Compliance & Risk Enforce privacy and compliance (e.g., GDPR) withdata minimization, tokenization, masking, andaccess controlsacross environments. Define secure patterns formodel inputs/outputs(LLM safety),prompt hygiene, andguardrailsto prevent leakage or misuse. Delivery Leadership & Collaboration Producearchitecture blueprints, target state designs, andbuild/run guardrails; guide PoCs and pilots to derisk solutions. Mentor data engineers, analysts, and junior architects; leaddesign reviews,threat modeling, andcost/performancereviews. Communicate clearly with technical and nontechnical stakeholders, champion a culture ofengineering excellenceandlearning. What You'll Bring This position is not eligible for employer-sponsored work authorization or visa sponsorship (including initial, transfer, or extension), and candidates must be authorized to work in the United States at the time of application and remain authorized for the duration of employment without the need for sponsorship. Bachelor's or master's incomputer science, Information Systems, Data Engineering, or related field (or equivalent experience). Relevant certifications a plus (e.g.,AWS Data Analytics/Solutions Architect preferred). 10+ yearsdesigning and delivering enterprise data solutions, includinghands-onwork with bothtraditional DBMSandcloud nativedata platforms. 5+ yearsbuilding on cloud platformswith production experience in several of:S3, Glue, Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Lambda, Step Functions, EventBridge, SageMaker. Demonstrated expertise implementingdata propagation Lakehousepatterns and governanceat scale. Proven track record supportingAI/MLworkloads (feature stores, model data pipelines) and deliveringRAGsolutions with vector search on AWS. StrongSQLandPython; proficiency indata modeling-IFC (preferred),3NF, dimensional/star, data vault, etc. DBMS:SQL Server,PostgreSQL(schema, indexing, query planning, replication/HA, partitioning, backup/restore). Data Engineering:Spark/EMR,Glue(ETL/ELT & Studio),Airflow/Step Functionsorchestration,Parquet/Delta/Iceberg. Streaming/CDC:MSK/Kinesis,DMS(change data capture),event drivenpatterns. Security & Governance:IAM,KMS,Lake Formation,Secrets Manager, data masking/tokenization, RBAC/ABAC. AI/LLM enablement:Amazon Bedrock(Knowledge Bases, Guardrails, Agents), embeddings, chunking, retrieval,prompt design,token optimization, evaluation loops. Observability & FinOps: Cloud logs/metrics, lineage/quality SLAs,cost controls(storage/compute), workload rightsizing. DevOps/MLOps/IaC:Git,CI/CDfor data pipelines;Terraform/CDK; environment promotion; artifact/versioning ; blue/green or canary for data jobs. Preferred Skills Experience withRedshift RA3/Spectrum,materialized views,workload management, and federated queries (Athena/Glue). Familiarity withPower BI/Microsoft FabricandAmazon Quick Sight; semantic modeling and governance for BI. Exposure to privacy enhancing technologies(anonymization, differential privacy),policy as code, andguardrailframeworks. Experience working withgeographically distributed teamsandregulated data. Strategic thinking with the ability to balance short-term incrementsandlong term architecture. Excellent written and verbal communication, facilitation of architecture decisions, and stakeholder alignment. Mentoring mindset and demonstrated influence without authority across cross functional teams. What's In It for You We're a big company with a family-owned feel. You will be given the opportunity to make big changes that will ripple throughout the industry while feeling right at home with the Hilti family. In addition to a competitive base salary and bonus potential, we offer a robust benefits package including a generous paid time off policy that includes vacation, personal days, health & wellness, and 2 days per year to give back in your local community, paid family leave, educational reimbursement, 401(k) matching, medical/dental/vision coverage, and a variety of other benefits to fit the needs of our employees. Why Hilti Hilti is a global leader in construction innovation, with more than 34,000 team members across 120 countries. Guided by our purpose, Making Construction Better, we're driven to keep learning, growing, and finding new ways to make a lasting impact. Here, you'll be empowered to use your strengths, work with a global and inclusive team, and take on meaningful challenges. At Hilti, you'll have the chance to make your ideas, achievements, and growth real through purpose, passion, and teamwork. Commitment to Inclusion At Hilti, inclusion is a key focus in how we work, lead, and grow together. We are committed to embracing diversity of thought and creating an environment that is inclusive of everyone, everywhere. We continuously strive to ensure every voice is valued and every team member feels empowered to contribute. By building on this foundation, we strengthen our teams, our innovation, and our impact, making construction better together. Hilti Inc is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.
08/04/2026
Full time
Job Description Architect the Future of Enterprise Intelligence TheSenior Data Architectprovides technical leadership across Hilti's data landscape shaping enterprise data strategy and designing scalable, secure, and well governed data platforms that power analytics, AI/ML, and intelligent applications. This role spanstraditional data management(DBMS, data modeling, warehousing, governance) andmodern cloud native/AI data engineeringon AWS, includingbronze, silver, gold patterns, Generation (RAG)for LLMs, and data products that serve Cloud-native SaaSapplication teams at global scale. You will collaborate with business stakeholders, data scientists, engineers, and platform teams to translate use cases intotarget data architectures, ensuring performance, reliability, security, and cost efficiency at global scale. What You'll do Modern Data Platform on One or More Cloud Platforms Architect end-to-end pipelines across from raw to polished layers using Cloud native services such asS3, Glue (ETL & Data Catalog), Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Step Functions, Lambda, EventBridge. Define storage/format strategies (e.g.,Parquet/Delta/Apache Iceberg) and partitioning, compaction, and indexing for performance and cost. Implementrow/ column level security, encryption (KMS), secrets management, and fine-grained authorization viaIAM/Lake Formation. AI/ML & Amazon Bedrock Data Foundations Design datasets andfeature/knowledgelayers to supportSageMakertraining/inference andAmazon Bedrockapplications (e.g.,Knowledge Bases,Guardrails,Agents, and Invoke Model/Converse orchestration). LeadRAGarchitectures (chunking, embeddings, retrieval) usingvector databasessuch asAmazon OpenSearch Serverless (vector search)orAurora PostgreSQL + pgvector; define evaluation and feedback loops to improve answer quality. Setprompt, context, and token budgetstandards; guide teams on safe data handling for LLMs (PII redaction, policy driven filters, secured context injection). Tradition Data Architecture & DBMS Excellence Provide deep expertise in relational and NoSQL systems:SQL Server,PostgreSQL,MongoDB, includingschema design, indexing, query/perf tuning, replication, partitioning, and HA/DR. Design and governEDW/ Lakehouse/ODSpatterns ; integrate with.NET/C andAngularfrontends via well designed APIs and data contracts. Integration, Interoperability & Application Alignment DefineAPI and data contract standards(REST/GraphQL, Protobuf/Avro/JSON), ensuring consistent versioning and backward compatibility for.NET/C. Orchestrate ingestion fromSAP, Salesforce, IoT/telemetry, external data sources, and partner ecosystems; standardize CDC and streaming patterns (e.g.,MSK/Kinesis,DMS,Glue). Partner with Solution/Platform Architects to ensuremicroservicesandevent drivendesigns are data efficient and observability ready. Data Governance, Quality & Observability Implementdata governance(policies, stewardship, data classification),cataloging(Glue Data Catalog),lineage(Open Lineage compatible), andquality(rules, thresholds, SLAs/SLOs). Embedmonitoring & cost governance(CloudWatch, CloudTrail, Cost Explorer, Lake Formation audit, data access logs) and drive continuous optimization (storage tiers, compaction, pruning). Security, Compliance & Risk Enforce privacy and compliance (e.g., GDPR) withdata minimization, tokenization, masking, andaccess controlsacross environments. Define secure patterns formodel inputs/outputs(LLM safety),prompt hygiene, andguardrailsto prevent leakage or misuse. Delivery Leadership & Collaboration Producearchitecture blueprints, target state designs, andbuild/run guardrails; guide PoCs and pilots to derisk solutions. Mentor data engineers, analysts, and junior architects; leaddesign reviews,threat modeling, andcost/performancereviews. Communicate clearly with technical and nontechnical stakeholders, champion a culture ofengineering excellenceandlearning. What You'll Bring This position is not eligible for employer-sponsored work authorization or visa sponsorship (including initial, transfer, or extension), and candidates must be authorized to work in the United States at the time of application and remain authorized for the duration of employment without the need for sponsorship. Bachelor's or master's incomputer science, Information Systems, Data Engineering, or related field (or equivalent experience). Relevant certifications a plus (e.g.,AWS Data Analytics/Solutions Architect preferred). 10+ yearsdesigning and delivering enterprise data solutions, includinghands-onwork with bothtraditional DBMSandcloud nativedata platforms. 5+ yearsbuilding on cloud platformswith production experience in several of:S3, Glue, Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Lambda, Step Functions, EventBridge, SageMaker. Demonstrated expertise implementingdata propagation Lakehousepatterns and governanceat scale. Proven track record supportingAI/MLworkloads (feature stores, model data pipelines) and deliveringRAGsolutions with vector search on AWS. StrongSQLandPython; proficiency indata modeling-IFC (preferred),3NF, dimensional/star, data vault, etc. DBMS:SQL Server,PostgreSQL(schema, indexing, query planning, replication/HA, partitioning, backup/restore). Data Engineering:Spark/EMR,Glue(ETL/ELT & Studio),Airflow/Step Functionsorchestration,Parquet/Delta/Iceberg. Streaming/CDC:MSK/Kinesis,DMS(change data capture),event drivenpatterns. Security & Governance:IAM,KMS,Lake Formation,Secrets Manager, data masking/tokenization, RBAC/ABAC. AI/LLM enablement:Amazon Bedrock(Knowledge Bases, Guardrails, Agents), embeddings, chunking, retrieval,prompt design,token optimization, evaluation loops. Observability & FinOps: Cloud logs/metrics, lineage/quality SLAs,cost controls(storage/compute), workload rightsizing. DevOps/MLOps/IaC:Git,CI/CDfor data pipelines;Terraform/CDK; environment promotion; artifact/versioning ; blue/green or canary for data jobs. Preferred Skills Experience withRedshift RA3/Spectrum,materialized views,workload management, and federated queries (Athena/Glue). Familiarity withPower BI/Microsoft FabricandAmazon Quick Sight; semantic modeling and governance for BI. Exposure to privacy enhancing technologies(anonymization, differential privacy),policy as code, andguardrailframeworks. Experience working withgeographically distributed teamsandregulated data. Strategic thinking with the ability to balance short-term incrementsandlong term architecture. Excellent written and verbal communication, facilitation of architecture decisions, and stakeholder alignment. Mentoring mindset and demonstrated influence without authority across cross functional teams. What's In It for You We're a big company with a family-owned feel. You will be given the opportunity to make big changes that will ripple throughout the industry while feeling right at home with the Hilti family. In addition to a competitive base salary and bonus potential, we offer a robust benefits package including a generous paid time off policy that includes vacation, personal days, health & wellness, and 2 days per year to give back in your local community, paid family leave, educational reimbursement, 401(k) matching, medical/dental/vision coverage, and a variety of other benefits to fit the needs of our employees. Why Hilti Hilti is a global leader in construction innovation, with more than 34,000 team members across 120 countries. Guided by our purpose, Making Construction Better, we're driven to keep learning, growing, and finding new ways to make a lasting impact. Here, you'll be empowered to use your strengths, work with a global and inclusive team, and take on meaningful challenges. At Hilti, you'll have the chance to make your ideas, achievements, and growth real through purpose, passion, and teamwork. Commitment to Inclusion At Hilti, inclusion is a key focus in how we work, lead, and grow together. We are committed to embracing diversity of thought and creating an environment that is inclusive of everyone, everywhere. We continuously strive to ensure every voice is valued and every team member feels empowered to contribute. By building on this foundation, we strengthen our teams, our innovation, and our impact, making construction better together. Hilti Inc is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.
Job Description Architect the Future of Enterprise Intelligence TheSenior Data Architectprovides technical leadership across Hilti's data landscape shaping enterprise data strategy and designing scalable, secure, and well governed data platforms that power analytics, AI/ML, and intelligent applications. This role spanstraditional data management(DBMS, data modeling, warehousing, governance) andmodern cloud native/AI data engineeringon AWS, includingbronze, silver, gold patterns, Generation (RAG)for LLMs, and data products that serve Cloud-native SaaSapplication teams at global scale. You will collaborate with business stakeholders, data scientists, engineers, and platform teams to translate use cases intotarget data architectures, ensuring performance, reliability, security, and cost efficiency at global scale. What You'll do Modern Data Platform on One or More Cloud Platforms Architect end-to-end pipelines across from raw to polished layers using Cloud native services such asS3, Glue (ETL & Data Catalog), Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Step Functions, Lambda, EventBridge. Define storage/format strategies (e.g.,Parquet/Delta/Apache Iceberg) and partitioning, compaction, and indexing for performance and cost. Implementrow/ column level security, encryption (KMS), secrets management, and fine-grained authorization viaIAM/Lake Formation. AI/ML & Amazon Bedrock Data Foundations Design datasets andfeature/knowledgelayers to supportSageMakertraining/inference andAmazon Bedrockapplications (e.g.,Knowledge Bases,Guardrails,Agents, and Invoke Model/Converse orchestration). LeadRAGarchitectures (chunking, embeddings, retrieval) usingvector databasessuch asAmazon OpenSearch Serverless (vector search)orAurora PostgreSQL + pgvector; define evaluation and feedback loops to improve answer quality. Setprompt, context, and token budgetstandards; guide teams on safe data handling for LLMs (PII redaction, policy driven filters, secured context injection). Tradition Data Architecture & DBMS Excellence Provide deep expertise in relational and NoSQL systems:SQL Server,PostgreSQL,MongoDB, includingschema design, indexing, query/perf tuning, replication, partitioning, and HA/DR. Design and governEDW/ Lakehouse/ODSpatterns ; integrate with.NET/C andAngularfrontends via well designed APIs and data contracts. Integration, Interoperability & Application Alignment DefineAPI and data contract standards(REST/GraphQL, Protobuf/Avro/JSON), ensuring consistent versioning and backward compatibility for.NET/C. Orchestrate ingestion fromSAP, Salesforce, IoT/telemetry, external data sources, and partner ecosystems; standardize CDC and streaming patterns (e.g.,MSK/Kinesis,DMS,Glue). Partner with Solution/Platform Architects to ensuremicroservicesandevent drivendesigns are data efficient and observability ready. Data Governance, Quality & Observability Implementdata governance(policies, stewardship, data classification),cataloging(Glue Data Catalog),lineage(Open Lineage compatible), andquality(rules, thresholds, SLAs/SLOs). Embedmonitoring & cost governance(CloudWatch, CloudTrail, Cost Explorer, Lake Formation audit, data access logs) and drive continuous optimization (storage tiers, compaction, pruning). Security, Compliance & Risk Enforce privacy and compliance (e.g., GDPR) withdata minimization, tokenization, masking, andaccess controlsacross environments. Define secure patterns formodel inputs/outputs(LLM safety),prompt hygiene, andguardrailsto prevent leakage or misuse. Delivery Leadership & Collaboration Producearchitecture blueprints, target state designs, andbuild/run guardrails; guide PoCs and pilots to derisk solutions. Mentor data engineers, analysts, and junior architects; leaddesign reviews,threat modeling, andcost/performancereviews. Communicate clearly with technical and nontechnical stakeholders, champion a culture ofengineering excellenceandlearning. What You'll Bring This position is not eligible for employer-sponsored work authorization or visa sponsorship (including initial, transfer, or extension), and candidates must be authorized to work in the United States at the time of application and remain authorized for the duration of employment without the need for sponsorship. Bachelor's or master's incomputer science, Information Systems, Data Engineering, or related field (or equivalent experience). Relevant certifications a plus (e.g.,AWS Data Analytics/Solutions Architect preferred). 10+ yearsdesigning and delivering enterprise data solutions, includinghands-onwork with bothtraditional DBMSandcloud nativedata platforms. 5+ yearsbuilding on cloud platformswith production experience in several of:S3, Glue, Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Lambda, Step Functions, EventBridge, SageMaker. Demonstrated expertise implementingdata propagation Lakehousepatterns and governanceat scale. Proven track record supportingAI/MLworkloads (feature stores, model data pipelines) and deliveringRAGsolutions with vector search on AWS. StrongSQLandPython; proficiency indata modeling-IFC (preferred),3NF, dimensional/star, data vault, etc. DBMS:SQL Server,PostgreSQL(schema, indexing, query planning, replication/HA, partitioning, backup/restore). Data Engineering:Spark/EMR,Glue(ETL/ELT & Studio),Airflow/Step Functionsorchestration,Parquet/Delta/Iceberg. Streaming/CDC:MSK/Kinesis,DMS(change data capture),event drivenpatterns. Security & Governance:IAM,KMS,Lake Formation,Secrets Manager, data masking/tokenization, RBAC/ABAC. AI/LLM enablement:Amazon Bedrock(Knowledge Bases, Guardrails, Agents), embeddings, chunking, retrieval,prompt design,token optimization, evaluation loops. Observability & FinOps: Cloud logs/metrics, lineage/quality SLAs,cost controls(storage/compute), workload rightsizing. DevOps/MLOps/IaC:Git,CI/CDfor data pipelines;Terraform/CDK; environment promotion; artifact/versioning ; blue/green or canary for data jobs. Preferred Skills Experience withRedshift RA3/Spectrum,materialized views,workload management, and federated queries (Athena/Glue). Familiarity withPower BI/Microsoft FabricandAmazon Quick Sight; semantic modeling and governance for BI. Exposure to privacy enhancing technologies(anonymization, differential privacy),policy as code, andguardrailframeworks. Experience working withgeographically distributed teamsandregulated data. Strategic thinking with the ability to balance short-term incrementsandlong term architecture. Excellent written and verbal communication, facilitation of architecture decisions, and stakeholder alignment. Mentoring mindset and demonstrated influence without authority across cross functional teams. What's In It for You We're a big company with a family-owned feel. You will be given the opportunity to make big changes that will ripple throughout the industry while feeling right at home with the Hilti family. In addition to a competitive base salary and bonus potential, we offer a robust benefits package including a generous paid time off policy that includes vacation, personal days, health & wellness, and 2 days per year to give back in your local community, paid family leave, educational reimbursement, 401(k) matching, medical/dental/vision coverage, and a variety of other benefits to fit the needs of our employees. Why Hilti Hilti is a global leader in construction innovation, with more than 34,000 team members across 120 countries. Guided by our purpose, Making Construction Better, we're driven to keep learning, growing, and finding new ways to make a lasting impact. Here, you'll be empowered to use your strengths, work with a global and inclusive team, and take on meaningful challenges. At Hilti, you'll have the chance to make your ideas, achievements, and growth real through purpose, passion, and teamwork. Commitment to Inclusion At Hilti, inclusion is a key focus in how we work, lead, and grow together. We are committed to embracing diversity of thought and creating an environment that is inclusive of everyone, everywhere. We continuously strive to ensure every voice is valued and every team member feels empowered to contribute. By building on this foundation, we strengthen our teams, our innovation, and our impact, making construction better together. Hilti Inc is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.
08/04/2026
Full time
Job Description Architect the Future of Enterprise Intelligence TheSenior Data Architectprovides technical leadership across Hilti's data landscape shaping enterprise data strategy and designing scalable, secure, and well governed data platforms that power analytics, AI/ML, and intelligent applications. This role spanstraditional data management(DBMS, data modeling, warehousing, governance) andmodern cloud native/AI data engineeringon AWS, includingbronze, silver, gold patterns, Generation (RAG)for LLMs, and data products that serve Cloud-native SaaSapplication teams at global scale. You will collaborate with business stakeholders, data scientists, engineers, and platform teams to translate use cases intotarget data architectures, ensuring performance, reliability, security, and cost efficiency at global scale. What You'll do Modern Data Platform on One or More Cloud Platforms Architect end-to-end pipelines across from raw to polished layers using Cloud native services such asS3, Glue (ETL & Data Catalog), Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Step Functions, Lambda, EventBridge. Define storage/format strategies (e.g.,Parquet/Delta/Apache Iceberg) and partitioning, compaction, and indexing for performance and cost. Implementrow/ column level security, encryption (KMS), secrets management, and fine-grained authorization viaIAM/Lake Formation. AI/ML & Amazon Bedrock Data Foundations Design datasets andfeature/knowledgelayers to supportSageMakertraining/inference andAmazon Bedrockapplications (e.g.,Knowledge Bases,Guardrails,Agents, and Invoke Model/Converse orchestration). LeadRAGarchitectures (chunking, embeddings, retrieval) usingvector databasessuch asAmazon OpenSearch Serverless (vector search)orAurora PostgreSQL + pgvector; define evaluation and feedback loops to improve answer quality. Setprompt, context, and token budgetstandards; guide teams on safe data handling for LLMs (PII redaction, policy driven filters, secured context injection). Tradition Data Architecture & DBMS Excellence Provide deep expertise in relational and NoSQL systems:SQL Server,PostgreSQL,MongoDB, includingschema design, indexing, query/perf tuning, replication, partitioning, and HA/DR. Design and governEDW/ Lakehouse/ODSpatterns ; integrate with.NET/C andAngularfrontends via well designed APIs and data contracts. Integration, Interoperability & Application Alignment DefineAPI and data contract standards(REST/GraphQL, Protobuf/Avro/JSON), ensuring consistent versioning and backward compatibility for.NET/C. Orchestrate ingestion fromSAP, Salesforce, IoT/telemetry, external data sources, and partner ecosystems; standardize CDC and streaming patterns (e.g.,MSK/Kinesis,DMS,Glue). Partner with Solution/Platform Architects to ensuremicroservicesandevent drivendesigns are data efficient and observability ready. Data Governance, Quality & Observability Implementdata governance(policies, stewardship, data classification),cataloging(Glue Data Catalog),lineage(Open Lineage compatible), andquality(rules, thresholds, SLAs/SLOs). Embedmonitoring & cost governance(CloudWatch, CloudTrail, Cost Explorer, Lake Formation audit, data access logs) and drive continuous optimization (storage tiers, compaction, pruning). Security, Compliance & Risk Enforce privacy and compliance (e.g., GDPR) withdata minimization, tokenization, masking, andaccess controlsacross environments. Define secure patterns formodel inputs/outputs(LLM safety),prompt hygiene, andguardrailsto prevent leakage or misuse. Delivery Leadership & Collaboration Producearchitecture blueprints, target state designs, andbuild/run guardrails; guide PoCs and pilots to derisk solutions. Mentor data engineers, analysts, and junior architects; leaddesign reviews,threat modeling, andcost/performancereviews. Communicate clearly with technical and nontechnical stakeholders, champion a culture ofengineering excellenceandlearning. What You'll Bring This position is not eligible for employer-sponsored work authorization or visa sponsorship (including initial, transfer, or extension), and candidates must be authorized to work in the United States at the time of application and remain authorized for the duration of employment without the need for sponsorship. Bachelor's or master's incomputer science, Information Systems, Data Engineering, or related field (or equivalent experience). Relevant certifications a plus (e.g.,AWS Data Analytics/Solutions Architect preferred). 10+ yearsdesigning and delivering enterprise data solutions, includinghands-onwork with bothtraditional DBMSandcloud nativedata platforms. 5+ yearsbuilding on cloud platformswith production experience in several of:S3, Glue, Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Lambda, Step Functions, EventBridge, SageMaker. Demonstrated expertise implementingdata propagation Lakehousepatterns and governanceat scale. Proven track record supportingAI/MLworkloads (feature stores, model data pipelines) and deliveringRAGsolutions with vector search on AWS. StrongSQLandPython; proficiency indata modeling-IFC (preferred),3NF, dimensional/star, data vault, etc. DBMS:SQL Server,PostgreSQL(schema, indexing, query planning, replication/HA, partitioning, backup/restore). Data Engineering:Spark/EMR,Glue(ETL/ELT & Studio),Airflow/Step Functionsorchestration,Parquet/Delta/Iceberg. Streaming/CDC:MSK/Kinesis,DMS(change data capture),event drivenpatterns. Security & Governance:IAM,KMS,Lake Formation,Secrets Manager, data masking/tokenization, RBAC/ABAC. AI/LLM enablement:Amazon Bedrock(Knowledge Bases, Guardrails, Agents), embeddings, chunking, retrieval,prompt design,token optimization, evaluation loops. Observability & FinOps: Cloud logs/metrics, lineage/quality SLAs,cost controls(storage/compute), workload rightsizing. DevOps/MLOps/IaC:Git,CI/CDfor data pipelines;Terraform/CDK; environment promotion; artifact/versioning ; blue/green or canary for data jobs. Preferred Skills Experience withRedshift RA3/Spectrum,materialized views,workload management, and federated queries (Athena/Glue). Familiarity withPower BI/Microsoft FabricandAmazon Quick Sight; semantic modeling and governance for BI. Exposure to privacy enhancing technologies(anonymization, differential privacy),policy as code, andguardrailframeworks. Experience working withgeographically distributed teamsandregulated data. Strategic thinking with the ability to balance short-term incrementsandlong term architecture. Excellent written and verbal communication, facilitation of architecture decisions, and stakeholder alignment. Mentoring mindset and demonstrated influence without authority across cross functional teams. What's In It for You We're a big company with a family-owned feel. You will be given the opportunity to make big changes that will ripple throughout the industry while feeling right at home with the Hilti family. In addition to a competitive base salary and bonus potential, we offer a robust benefits package including a generous paid time off policy that includes vacation, personal days, health & wellness, and 2 days per year to give back in your local community, paid family leave, educational reimbursement, 401(k) matching, medical/dental/vision coverage, and a variety of other benefits to fit the needs of our employees. Why Hilti Hilti is a global leader in construction innovation, with more than 34,000 team members across 120 countries. Guided by our purpose, Making Construction Better, we're driven to keep learning, growing, and finding new ways to make a lasting impact. Here, you'll be empowered to use your strengths, work with a global and inclusive team, and take on meaningful challenges. At Hilti, you'll have the chance to make your ideas, achievements, and growth real through purpose, passion, and teamwork. Commitment to Inclusion At Hilti, inclusion is a key focus in how we work, lead, and grow together. We are committed to embracing diversity of thought and creating an environment that is inclusive of everyone, everywhere. We continuously strive to ensure every voice is valued and every team member feels empowered to contribute. By building on this foundation, we strengthen our teams, our innovation, and our impact, making construction better together. Hilti Inc is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.
Job Description Architect the Future of Enterprise Intelligence TheSenior Data Architectprovides technical leadership across Hilti's data landscape shaping enterprise data strategy and designing scalable, secure, and well governed data platforms that power analytics, AI/ML, and intelligent applications. This role spanstraditional data management(DBMS, data modeling, warehousing, governance) andmodern cloud native/AI data engineeringon AWS, includingbronze, silver, gold patterns, Generation (RAG)for LLMs, and data products that serve Cloud-native SaaSapplication teams at global scale. You will collaborate with business stakeholders, data scientists, engineers, and platform teams to translate use cases intotarget data architectures, ensuring performance, reliability, security, and cost efficiency at global scale. What You'll do Modern Data Platform on One or More Cloud Platforms Architect end-to-end pipelines across from raw to polished layers using Cloud native services such asS3, Glue (ETL & Data Catalog), Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Step Functions, Lambda, EventBridge. Define storage/format strategies (e.g.,Parquet/Delta/Apache Iceberg) and partitioning, compaction, and indexing for performance and cost. Implementrow/ column level security, encryption (KMS), secrets management, and fine-grained authorization viaIAM/Lake Formation. AI/ML & Amazon Bedrock Data Foundations Design datasets andfeature/knowledgelayers to supportSageMakertraining/inference andAmazon Bedrockapplications (e.g.,Knowledge Bases,Guardrails,Agents, and Invoke Model/Converse orchestration). LeadRAGarchitectures (chunking, embeddings, retrieval) usingvector databasessuch asAmazon OpenSearch Serverless (vector search)orAurora PostgreSQL + pgvector; define evaluation and feedback loops to improve answer quality. Setprompt, context, and token budgetstandards; guide teams on safe data handling for LLMs (PII redaction, policy driven filters, secured context injection). Tradition Data Architecture & DBMS Excellence Provide deep expertise in relational and NoSQL systems:SQL Server,PostgreSQL,MongoDB, includingschema design, indexing, query/perf tuning, replication, partitioning, and HA/DR. Design and governEDW/ Lakehouse/ODSpatterns ; integrate with.NET/C andAngularfrontends via well designed APIs and data contracts. Integration, Interoperability & Application Alignment DefineAPI and data contract standards(REST/GraphQL, Protobuf/Avro/JSON), ensuring consistent versioning and backward compatibility for.NET/C. Orchestrate ingestion fromSAP, Salesforce, IoT/telemetry, external data sources, and partner ecosystems; standardize CDC and streaming patterns (e.g.,MSK/Kinesis,DMS,Glue). Partner with Solution/Platform Architects to ensuremicroservicesandevent drivendesigns are data efficient and observability ready. Data Governance, Quality & Observability Implementdata governance(policies, stewardship, data classification),cataloging(Glue Data Catalog),lineage(Open Lineage compatible), andquality(rules, thresholds, SLAs/SLOs). Embedmonitoring & cost governance(CloudWatch, CloudTrail, Cost Explorer, Lake Formation audit, data access logs) and drive continuous optimization (storage tiers, compaction, pruning). Security, Compliance & Risk Enforce privacy and compliance (e.g., GDPR) withdata minimization, tokenization, masking, andaccess controlsacross environments. Define secure patterns formodel inputs/outputs(LLM safety),prompt hygiene, andguardrailsto prevent leakage or misuse. Delivery Leadership & Collaboration Producearchitecture blueprints, target state designs, andbuild/run guardrails; guide PoCs and pilots to derisk solutions. Mentor data engineers, analysts, and junior architects; leaddesign reviews,threat modeling, andcost/performancereviews. Communicate clearly with technical and nontechnical stakeholders, champion a culture ofengineering excellenceandlearning. What You'll Bring This position is not eligible for employer-sponsored work authorization or visa sponsorship (including initial, transfer, or extension), and candidates must be authorized to work in the United States at the time of application and remain authorized for the duration of employment without the need for sponsorship. Bachelor's or master's incomputer science, Information Systems, Data Engineering, or related field (or equivalent experience). Relevant certifications a plus (e.g.,AWS Data Analytics/Solutions Architect preferred). 10+ yearsdesigning and delivering enterprise data solutions, includinghands-onwork with bothtraditional DBMSandcloud nativedata platforms. 5+ yearsbuilding on cloud platformswith production experience in several of:S3, Glue, Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Lambda, Step Functions, EventBridge, SageMaker. Demonstrated expertise implementingdata propagation Lakehousepatterns and governanceat scale. Proven track record supportingAI/MLworkloads (feature stores, model data pipelines) and deliveringRAGsolutions with vector search on AWS. StrongSQLandPython; proficiency indata modeling-IFC (preferred),3NF, dimensional/star, data vault, etc. DBMS:SQL Server,PostgreSQL(schema, indexing, query planning, replication/HA, partitioning, backup/restore). Data Engineering:Spark/EMR,Glue(ETL/ELT & Studio),Airflow/Step Functionsorchestration,Parquet/Delta/Iceberg. Streaming/CDC:MSK/Kinesis,DMS(change data capture),event drivenpatterns. Security & Governance:IAM,KMS,Lake Formation,Secrets Manager, data masking/tokenization, RBAC/ABAC. AI/LLM enablement:Amazon Bedrock(Knowledge Bases, Guardrails, Agents), embeddings, chunking, retrieval,prompt design,token optimization, evaluation loops. Observability & FinOps: Cloud logs/metrics, lineage/quality SLAs,cost controls(storage/compute), workload rightsizing. DevOps/MLOps/IaC:Git,CI/CDfor data pipelines;Terraform/CDK; environment promotion; artifact/versioning ; blue/green or canary for data jobs. Preferred Skills Experience withRedshift RA3/Spectrum,materialized views,workload management, and federated queries (Athena/Glue). Familiarity withPower BI/Microsoft FabricandAmazon Quick Sight; semantic modeling and governance for BI. Exposure to privacy enhancing technologies(anonymization, differential privacy),policy as code, andguardrailframeworks. Experience working withgeographically distributed teamsandregulated data. Strategic thinking with the ability to balance short-term incrementsandlong term architecture. Excellent written and verbal communication, facilitation of architecture decisions, and stakeholder alignment. Mentoring mindset and demonstrated influence without authority across cross functional teams. What's In It for You We're a big company with a family-owned feel. You will be given the opportunity to make big changes that will ripple throughout the industry while feeling right at home with the Hilti family. In addition to a competitive base salary and bonus potential, we offer a robust benefits package including a generous paid time off policy that includes vacation, personal days, health & wellness, and 2 days per year to give back in your local community, paid family leave, educational reimbursement, 401(k) matching, medical/dental/vision coverage, and a variety of other benefits to fit the needs of our employees. Why Hilti Hilti is a global leader in construction innovation, with more than 34,000 team members across 120 countries. Guided by our purpose, Making Construction Better, we're driven to keep learning, growing, and finding new ways to make a lasting impact. Here, you'll be empowered to use your strengths, work with a global and inclusive team, and take on meaningful challenges. At Hilti, you'll have the chance to make your ideas, achievements, and growth real through purpose, passion, and teamwork. Commitment to Inclusion At Hilti, inclusion is a key focus in how we work, lead, and grow together. We are committed to embracing diversity of thought and creating an environment that is inclusive of everyone, everywhere. We continuously strive to ensure every voice is valued and every team member feels empowered to contribute. By building on this foundation, we strengthen our teams, our innovation, and our impact, making construction better together. Hilti Inc is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.
08/04/2026
Full time
Job Description Architect the Future of Enterprise Intelligence TheSenior Data Architectprovides technical leadership across Hilti's data landscape shaping enterprise data strategy and designing scalable, secure, and well governed data platforms that power analytics, AI/ML, and intelligent applications. This role spanstraditional data management(DBMS, data modeling, warehousing, governance) andmodern cloud native/AI data engineeringon AWS, includingbronze, silver, gold patterns, Generation (RAG)for LLMs, and data products that serve Cloud-native SaaSapplication teams at global scale. You will collaborate with business stakeholders, data scientists, engineers, and platform teams to translate use cases intotarget data architectures, ensuring performance, reliability, security, and cost efficiency at global scale. What You'll do Modern Data Platform on One or More Cloud Platforms Architect end-to-end pipelines across from raw to polished layers using Cloud native services such asS3, Glue (ETL & Data Catalog), Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Step Functions, Lambda, EventBridge. Define storage/format strategies (e.g.,Parquet/Delta/Apache Iceberg) and partitioning, compaction, and indexing for performance and cost. Implementrow/ column level security, encryption (KMS), secrets management, and fine-grained authorization viaIAM/Lake Formation. AI/ML & Amazon Bedrock Data Foundations Design datasets andfeature/knowledgelayers to supportSageMakertraining/inference andAmazon Bedrockapplications (e.g.,Knowledge Bases,Guardrails,Agents, and Invoke Model/Converse orchestration). LeadRAGarchitectures (chunking, embeddings, retrieval) usingvector databasessuch asAmazon OpenSearch Serverless (vector search)orAurora PostgreSQL + pgvector; define evaluation and feedback loops to improve answer quality. Setprompt, context, and token budgetstandards; guide teams on safe data handling for LLMs (PII redaction, policy driven filters, secured context injection). Tradition Data Architecture & DBMS Excellence Provide deep expertise in relational and NoSQL systems:SQL Server,PostgreSQL,MongoDB, includingschema design, indexing, query/perf tuning, replication, partitioning, and HA/DR. Design and governEDW/ Lakehouse/ODSpatterns ; integrate with.NET/C andAngularfrontends via well designed APIs and data contracts. Integration, Interoperability & Application Alignment DefineAPI and data contract standards(REST/GraphQL, Protobuf/Avro/JSON), ensuring consistent versioning and backward compatibility for.NET/C. Orchestrate ingestion fromSAP, Salesforce, IoT/telemetry, external data sources, and partner ecosystems; standardize CDC and streaming patterns (e.g.,MSK/Kinesis,DMS,Glue). Partner with Solution/Platform Architects to ensuremicroservicesandevent drivendesigns are data efficient and observability ready. Data Governance, Quality & Observability Implementdata governance(policies, stewardship, data classification),cataloging(Glue Data Catalog),lineage(Open Lineage compatible), andquality(rules, thresholds, SLAs/SLOs). Embedmonitoring & cost governance(CloudWatch, CloudTrail, Cost Explorer, Lake Formation audit, data access logs) and drive continuous optimization (storage tiers, compaction, pruning). Security, Compliance & Risk Enforce privacy and compliance (e.g., GDPR) withdata minimization, tokenization, masking, andaccess controlsacross environments. Define secure patterns formodel inputs/outputs(LLM safety),prompt hygiene, andguardrailsto prevent leakage or misuse. Delivery Leadership & Collaboration Producearchitecture blueprints, target state designs, andbuild/run guardrails; guide PoCs and pilots to derisk solutions. Mentor data engineers, analysts, and junior architects; leaddesign reviews,threat modeling, andcost/performancereviews. Communicate clearly with technical and nontechnical stakeholders, champion a culture ofengineering excellenceandlearning. What You'll Bring This position is not eligible for employer-sponsored work authorization or visa sponsorship (including initial, transfer, or extension), and candidates must be authorized to work in the United States at the time of application and remain authorized for the duration of employment without the need for sponsorship. Bachelor's or master's incomputer science, Information Systems, Data Engineering, or related field (or equivalent experience). Relevant certifications a plus (e.g.,AWS Data Analytics/Solutions Architect preferred). 10+ yearsdesigning and delivering enterprise data solutions, includinghands-onwork with bothtraditional DBMSandcloud nativedata platforms. 5+ yearsbuilding on cloud platformswith production experience in several of:S3, Glue, Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Lambda, Step Functions, EventBridge, SageMaker. Demonstrated expertise implementingdata propagation Lakehousepatterns and governanceat scale. Proven track record supportingAI/MLworkloads (feature stores, model data pipelines) and deliveringRAGsolutions with vector search on AWS. StrongSQLandPython; proficiency indata modeling-IFC (preferred),3NF, dimensional/star, data vault, etc. DBMS:SQL Server,PostgreSQL(schema, indexing, query planning, replication/HA, partitioning, backup/restore). Data Engineering:Spark/EMR,Glue(ETL/ELT & Studio),Airflow/Step Functionsorchestration,Parquet/Delta/Iceberg. Streaming/CDC:MSK/Kinesis,DMS(change data capture),event drivenpatterns. Security & Governance:IAM,KMS,Lake Formation,Secrets Manager, data masking/tokenization, RBAC/ABAC. AI/LLM enablement:Amazon Bedrock(Knowledge Bases, Guardrails, Agents), embeddings, chunking, retrieval,prompt design,token optimization, evaluation loops. Observability & FinOps: Cloud logs/metrics, lineage/quality SLAs,cost controls(storage/compute), workload rightsizing. DevOps/MLOps/IaC:Git,CI/CDfor data pipelines;Terraform/CDK; environment promotion; artifact/versioning ; blue/green or canary for data jobs. Preferred Skills Experience withRedshift RA3/Spectrum,materialized views,workload management, and federated queries (Athena/Glue). Familiarity withPower BI/Microsoft FabricandAmazon Quick Sight; semantic modeling and governance for BI. Exposure to privacy enhancing technologies(anonymization, differential privacy),policy as code, andguardrailframeworks. Experience working withgeographically distributed teamsandregulated data. Strategic thinking with the ability to balance short-term incrementsandlong term architecture. Excellent written and verbal communication, facilitation of architecture decisions, and stakeholder alignment. Mentoring mindset and demonstrated influence without authority across cross functional teams. What's In It for You We're a big company with a family-owned feel. You will be given the opportunity to make big changes that will ripple throughout the industry while feeling right at home with the Hilti family. In addition to a competitive base salary and bonus potential, we offer a robust benefits package including a generous paid time off policy that includes vacation, personal days, health & wellness, and 2 days per year to give back in your local community, paid family leave, educational reimbursement, 401(k) matching, medical/dental/vision coverage, and a variety of other benefits to fit the needs of our employees. Why Hilti Hilti is a global leader in construction innovation, with more than 34,000 team members across 120 countries. Guided by our purpose, Making Construction Better, we're driven to keep learning, growing, and finding new ways to make a lasting impact. Here, you'll be empowered to use your strengths, work with a global and inclusive team, and take on meaningful challenges. At Hilti, you'll have the chance to make your ideas, achievements, and growth real through purpose, passion, and teamwork. Commitment to Inclusion At Hilti, inclusion is a key focus in how we work, lead, and grow together. We are committed to embracing diversity of thought and creating an environment that is inclusive of everyone, everywhere. We continuously strive to ensure every voice is valued and every team member feels empowered to contribute. By building on this foundation, we strengthen our teams, our innovation, and our impact, making construction better together. Hilti Inc is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.
Job Description Architect the Future of Enterprise Intelligence TheSenior Data Architectprovides technical leadership across Hilti's data landscape shaping enterprise data strategy and designing scalable, secure, and well governed data platforms that power analytics, AI/ML, and intelligent applications. This role spanstraditional data management(DBMS, data modeling, warehousing, governance) andmodern cloud native/AI data engineeringon AWS, includingbronze, silver, gold patterns, Generation (RAG)for LLMs, and data products that serve Cloud-native SaaSapplication teams at global scale. You will collaborate with business stakeholders, data scientists, engineers, and platform teams to translate use cases intotarget data architectures, ensuring performance, reliability, security, and cost efficiency at global scale. What You'll do Modern Data Platform on One or More Cloud Platforms Architect end-to-end pipelines across from raw to polished layers using Cloud native services such asS3, Glue (ETL & Data Catalog), Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Step Functions, Lambda, EventBridge. Define storage/format strategies (e.g.,Parquet/Delta/Apache Iceberg) and partitioning, compaction, and indexing for performance and cost. Implementrow/ column level security, encryption (KMS), secrets management, and fine-grained authorization viaIAM/Lake Formation. AI/ML & Amazon Bedrock Data Foundations Design datasets andfeature/knowledgelayers to supportSageMakertraining/inference andAmazon Bedrockapplications (e.g.,Knowledge Bases,Guardrails,Agents, and Invoke Model/Converse orchestration). LeadRAGarchitectures (chunking, embeddings, retrieval) usingvector databasessuch asAmazon OpenSearch Serverless (vector search)orAurora PostgreSQL + pgvector; define evaluation and feedback loops to improve answer quality. Setprompt, context, and token budgetstandards; guide teams on safe data handling for LLMs (PII redaction, policy driven filters, secured context injection). Tradition Data Architecture & DBMS Excellence Provide deep expertise in relational and NoSQL systems:SQL Server,PostgreSQL,MongoDB, includingschema design, indexing, query/perf tuning, replication, partitioning, and HA/DR. Design and governEDW/ Lakehouse/ODSpatterns ; integrate with.NET/C andAngularfrontends via well designed APIs and data contracts. Integration, Interoperability & Application Alignment DefineAPI and data contract standards(REST/GraphQL, Protobuf/Avro/JSON), ensuring consistent versioning and backward compatibility for.NET/C. Orchestrate ingestion fromSAP, Salesforce, IoT/telemetry, external data sources, and partner ecosystems; standardize CDC and streaming patterns (e.g.,MSK/Kinesis,DMS,Glue). Partner with Solution/Platform Architects to ensuremicroservicesandevent drivendesigns are data efficient and observability ready. Data Governance, Quality & Observability Implementdata governance(policies, stewardship, data classification),cataloging(Glue Data Catalog),lineage(Open Lineage compatible), andquality(rules, thresholds, SLAs/SLOs). Embedmonitoring & cost governance(CloudWatch, CloudTrail, Cost Explorer, Lake Formation audit, data access logs) and drive continuous optimization (storage tiers, compaction, pruning). Security, Compliance & Risk Enforce privacy and compliance (e.g., GDPR) withdata minimization, tokenization, masking, andaccess controlsacross environments. Define secure patterns formodel inputs/outputs(LLM safety),prompt hygiene, andguardrailsto prevent leakage or misuse. Delivery Leadership & Collaboration Producearchitecture blueprints, target state designs, andbuild/run guardrails; guide PoCs and pilots to derisk solutions. Mentor data engineers, analysts, and junior architects; leaddesign reviews,threat modeling, andcost/performancereviews. Communicate clearly with technical and nontechnical stakeholders, champion a culture ofengineering excellenceandlearning. What You'll Bring This position is not eligible for employer-sponsored work authorization or visa sponsorship (including initial, transfer, or extension), and candidates must be authorized to work in the United States at the time of application and remain authorized for the duration of employment without the need for sponsorship. Bachelor's or master's incomputer science, Information Systems, Data Engineering, or related field (or equivalent experience). Relevant certifications a plus (e.g.,AWS Data Analytics/Solutions Architect preferred). 10+ yearsdesigning and delivering enterprise data solutions, includinghands-onwork with bothtraditional DBMSandcloud nativedata platforms. 5+ yearsbuilding on cloud platformswith production experience in several of:S3, Glue, Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Lambda, Step Functions, EventBridge, SageMaker. Demonstrated expertise implementingdata propagation Lakehousepatterns and governanceat scale. Proven track record supportingAI/MLworkloads (feature stores, model data pipelines) and deliveringRAGsolutions with vector search on AWS. StrongSQLandPython; proficiency indata modeling-IFC (preferred),3NF, dimensional/star, data vault, etc. DBMS:SQL Server,PostgreSQL(schema, indexing, query planning, replication/HA, partitioning, backup/restore). Data Engineering:Spark/EMR,Glue(ETL/ELT & Studio),Airflow/Step Functionsorchestration,Parquet/Delta/Iceberg. Streaming/CDC:MSK/Kinesis,DMS(change data capture),event drivenpatterns. Security & Governance:IAM,KMS,Lake Formation,Secrets Manager, data masking/tokenization, RBAC/ABAC. AI/LLM enablement:Amazon Bedrock(Knowledge Bases, Guardrails, Agents), embeddings, chunking, retrieval,prompt design,token optimization, evaluation loops. Observability & FinOps: Cloud logs/metrics, lineage/quality SLAs,cost controls(storage/compute), workload rightsizing. DevOps/MLOps/IaC:Git,CI/CDfor data pipelines;Terraform/CDK; environment promotion; artifact/versioning ; blue/green or canary for data jobs. Preferred Skills Experience withRedshift RA3/Spectrum,materialized views,workload management, and federated queries (Athena/Glue). Familiarity withPower BI/Microsoft FabricandAmazon Quick Sight; semantic modeling and governance for BI. Exposure to privacy enhancing technologies(anonymization, differential privacy),policy as code, andguardrailframeworks. Experience working withgeographically distributed teamsandregulated data. Strategic thinking with the ability to balance short-term incrementsandlong term architecture. Excellent written and verbal communication, facilitation of architecture decisions, and stakeholder alignment. Mentoring mindset and demonstrated influence without authority across cross functional teams. What's In It for You We're a big company with a family-owned feel. You will be given the opportunity to make big changes that will ripple throughout the industry while feeling right at home with the Hilti family. In addition to a competitive base salary and bonus potential, we offer a robust benefits package including a generous paid time off policy that includes vacation, personal days, health & wellness, and 2 days per year to give back in your local community, paid family leave, educational reimbursement, 401(k) matching, medical/dental/vision coverage, and a variety of other benefits to fit the needs of our employees. Why Hilti Hilti is a global leader in construction innovation, with more than 34,000 team members across 120 countries. Guided by our purpose, Making Construction Better, we're driven to keep learning, growing, and finding new ways to make a lasting impact. Here, you'll be empowered to use your strengths, work with a global and inclusive team, and take on meaningful challenges. At Hilti, you'll have the chance to make your ideas, achievements, and growth real through purpose, passion, and teamwork. Commitment to Inclusion At Hilti, inclusion is a key focus in how we work, lead, and grow together. We are committed to embracing diversity of thought and creating an environment that is inclusive of everyone, everywhere. We continuously strive to ensure every voice is valued and every team member feels empowered to contribute. By building on this foundation, we strengthen our teams, our innovation, and our impact, making construction better together. Hilti Inc is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.
08/04/2026
Full time
Job Description Architect the Future of Enterprise Intelligence TheSenior Data Architectprovides technical leadership across Hilti's data landscape shaping enterprise data strategy and designing scalable, secure, and well governed data platforms that power analytics, AI/ML, and intelligent applications. This role spanstraditional data management(DBMS, data modeling, warehousing, governance) andmodern cloud native/AI data engineeringon AWS, includingbronze, silver, gold patterns, Generation (RAG)for LLMs, and data products that serve Cloud-native SaaSapplication teams at global scale. You will collaborate with business stakeholders, data scientists, engineers, and platform teams to translate use cases intotarget data architectures, ensuring performance, reliability, security, and cost efficiency at global scale. What You'll do Modern Data Platform on One or More Cloud Platforms Architect end-to-end pipelines across from raw to polished layers using Cloud native services such asS3, Glue (ETL & Data Catalog), Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Step Functions, Lambda, EventBridge. Define storage/format strategies (e.g.,Parquet/Delta/Apache Iceberg) and partitioning, compaction, and indexing for performance and cost. Implementrow/ column level security, encryption (KMS), secrets management, and fine-grained authorization viaIAM/Lake Formation. AI/ML & Amazon Bedrock Data Foundations Design datasets andfeature/knowledgelayers to supportSageMakertraining/inference andAmazon Bedrockapplications (e.g.,Knowledge Bases,Guardrails,Agents, and Invoke Model/Converse orchestration). LeadRAGarchitectures (chunking, embeddings, retrieval) usingvector databasessuch asAmazon OpenSearch Serverless (vector search)orAurora PostgreSQL + pgvector; define evaluation and feedback loops to improve answer quality. Setprompt, context, and token budgetstandards; guide teams on safe data handling for LLMs (PII redaction, policy driven filters, secured context injection). Tradition Data Architecture & DBMS Excellence Provide deep expertise in relational and NoSQL systems:SQL Server,PostgreSQL,MongoDB, includingschema design, indexing, query/perf tuning, replication, partitioning, and HA/DR. Design and governEDW/ Lakehouse/ODSpatterns ; integrate with.NET/C andAngularfrontends via well designed APIs and data contracts. Integration, Interoperability & Application Alignment DefineAPI and data contract standards(REST/GraphQL, Protobuf/Avro/JSON), ensuring consistent versioning and backward compatibility for.NET/C. Orchestrate ingestion fromSAP, Salesforce, IoT/telemetry, external data sources, and partner ecosystems; standardize CDC and streaming patterns (e.g.,MSK/Kinesis,DMS,Glue). Partner with Solution/Platform Architects to ensuremicroservicesandevent drivendesigns are data efficient and observability ready. Data Governance, Quality & Observability Implementdata governance(policies, stewardship, data classification),cataloging(Glue Data Catalog),lineage(Open Lineage compatible), andquality(rules, thresholds, SLAs/SLOs). Embedmonitoring & cost governance(CloudWatch, CloudTrail, Cost Explorer, Lake Formation audit, data access logs) and drive continuous optimization (storage tiers, compaction, pruning). Security, Compliance & Risk Enforce privacy and compliance (e.g., GDPR) withdata minimization, tokenization, masking, andaccess controlsacross environments. Define secure patterns formodel inputs/outputs(LLM safety),prompt hygiene, andguardrailsto prevent leakage or misuse. Delivery Leadership & Collaboration Producearchitecture blueprints, target state designs, andbuild/run guardrails; guide PoCs and pilots to derisk solutions. Mentor data engineers, analysts, and junior architects; leaddesign reviews,threat modeling, andcost/performancereviews. Communicate clearly with technical and nontechnical stakeholders, champion a culture ofengineering excellenceandlearning. What You'll Bring This position is not eligible for employer-sponsored work authorization or visa sponsorship (including initial, transfer, or extension), and candidates must be authorized to work in the United States at the time of application and remain authorized for the duration of employment without the need for sponsorship. Bachelor's or master's incomputer science, Information Systems, Data Engineering, or related field (or equivalent experience). Relevant certifications a plus (e.g.,AWS Data Analytics/Solutions Architect preferred). 10+ yearsdesigning and delivering enterprise data solutions, includinghands-onwork with bothtraditional DBMSandcloud nativedata platforms. 5+ yearsbuilding on cloud platformswith production experience in several of:S3, Glue, Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Lambda, Step Functions, EventBridge, SageMaker. Demonstrated expertise implementingdata propagation Lakehousepatterns and governanceat scale. Proven track record supportingAI/MLworkloads (feature stores, model data pipelines) and deliveringRAGsolutions with vector search on AWS. StrongSQLandPython; proficiency indata modeling-IFC (preferred),3NF, dimensional/star, data vault, etc. DBMS:SQL Server,PostgreSQL(schema, indexing, query planning, replication/HA, partitioning, backup/restore). Data Engineering:Spark/EMR,Glue(ETL/ELT & Studio),Airflow/Step Functionsorchestration,Parquet/Delta/Iceberg. Streaming/CDC:MSK/Kinesis,DMS(change data capture),event drivenpatterns. Security & Governance:IAM,KMS,Lake Formation,Secrets Manager, data masking/tokenization, RBAC/ABAC. AI/LLM enablement:Amazon Bedrock(Knowledge Bases, Guardrails, Agents), embeddings, chunking, retrieval,prompt design,token optimization, evaluation loops. Observability & FinOps: Cloud logs/metrics, lineage/quality SLAs,cost controls(storage/compute), workload rightsizing. DevOps/MLOps/IaC:Git,CI/CDfor data pipelines;Terraform/CDK; environment promotion; artifact/versioning ; blue/green or canary for data jobs. Preferred Skills Experience withRedshift RA3/Spectrum,materialized views,workload management, and federated queries (Athena/Glue). Familiarity withPower BI/Microsoft FabricandAmazon Quick Sight; semantic modeling and governance for BI. Exposure to privacy enhancing technologies(anonymization, differential privacy),policy as code, andguardrailframeworks. Experience working withgeographically distributed teamsandregulated data. Strategic thinking with the ability to balance short-term incrementsandlong term architecture. Excellent written and verbal communication, facilitation of architecture decisions, and stakeholder alignment. Mentoring mindset and demonstrated influence without authority across cross functional teams. What's In It for You We're a big company with a family-owned feel. You will be given the opportunity to make big changes that will ripple throughout the industry while feeling right at home with the Hilti family. In addition to a competitive base salary and bonus potential, we offer a robust benefits package including a generous paid time off policy that includes vacation, personal days, health & wellness, and 2 days per year to give back in your local community, paid family leave, educational reimbursement, 401(k) matching, medical/dental/vision coverage, and a variety of other benefits to fit the needs of our employees. Why Hilti Hilti is a global leader in construction innovation, with more than 34,000 team members across 120 countries. Guided by our purpose, Making Construction Better, we're driven to keep learning, growing, and finding new ways to make a lasting impact. Here, you'll be empowered to use your strengths, work with a global and inclusive team, and take on meaningful challenges. At Hilti, you'll have the chance to make your ideas, achievements, and growth real through purpose, passion, and teamwork. Commitment to Inclusion At Hilti, inclusion is a key focus in how we work, lead, and grow together. We are committed to embracing diversity of thought and creating an environment that is inclusive of everyone, everywhere. We continuously strive to ensure every voice is valued and every team member feels empowered to contribute. By building on this foundation, we strengthen our teams, our innovation, and our impact, making construction better together. Hilti Inc is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.
Job Description Architect the Future of Enterprise Intelligence TheSenior Data Architectprovides technical leadership across Hilti's data landscape shaping enterprise data strategy and designing scalable, secure, and well governed data platforms that power analytics, AI/ML, and intelligent applications. This role spanstraditional data management(DBMS, data modeling, warehousing, governance) andmodern cloud native/AI data engineeringon AWS, includingbronze, silver, gold patterns, Generation (RAG)for LLMs, and data products that serve Cloud-native SaaSapplication teams at global scale. You will collaborate with business stakeholders, data scientists, engineers, and platform teams to translate use cases intotarget data architectures, ensuring performance, reliability, security, and cost efficiency at global scale. What You'll do Modern Data Platform on One or More Cloud Platforms Architect end-to-end pipelines across from raw to polished layers using Cloud native services such asS3, Glue (ETL & Data Catalog), Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Step Functions, Lambda, EventBridge. Define storage/format strategies (e.g.,Parquet/Delta/Apache Iceberg) and partitioning, compaction, and indexing for performance and cost. Implementrow/ column level security, encryption (KMS), secrets management, and fine-grained authorization viaIAM/Lake Formation. AI/ML & Amazon Bedrock Data Foundations Design datasets andfeature/knowledgelayers to supportSageMakertraining/inference andAmazon Bedrockapplications (e.g.,Knowledge Bases,Guardrails,Agents, and Invoke Model/Converse orchestration). LeadRAGarchitectures (chunking, embeddings, retrieval) usingvector databasessuch asAmazon OpenSearch Serverless (vector search)orAurora PostgreSQL + pgvector; define evaluation and feedback loops to improve answer quality. Setprompt, context, and token budgetstandards; guide teams on safe data handling for LLMs (PII redaction, policy driven filters, secured context injection). Tradition Data Architecture & DBMS Excellence Provide deep expertise in relational and NoSQL systems:SQL Server,PostgreSQL,MongoDB, includingschema design, indexing, query/perf tuning, replication, partitioning, and HA/DR. Design and governEDW/ Lakehouse/ODSpatterns ; integrate with.NET/C andAngularfrontends via well designed APIs and data contracts. Integration, Interoperability & Application Alignment DefineAPI and data contract standards(REST/GraphQL, Protobuf/Avro/JSON), ensuring consistent versioning and backward compatibility for.NET/C. Orchestrate ingestion fromSAP, Salesforce, IoT/telemetry, external data sources, and partner ecosystems; standardize CDC and streaming patterns (e.g.,MSK/Kinesis,DMS,Glue). Partner with Solution/Platform Architects to ensuremicroservicesandevent drivendesigns are data efficient and observability ready. Data Governance, Quality & Observability Implementdata governance(policies, stewardship, data classification),cataloging(Glue Data Catalog),lineage(Open Lineage compatible), andquality(rules, thresholds, SLAs/SLOs). Embedmonitoring & cost governance(CloudWatch, CloudTrail, Cost Explorer, Lake Formation audit, data access logs) and drive continuous optimization (storage tiers, compaction, pruning). Security, Compliance & Risk Enforce privacy and compliance (e.g., GDPR) withdata minimization, tokenization, masking, andaccess controlsacross environments. Define secure patterns formodel inputs/outputs(LLM safety),prompt hygiene, andguardrailsto prevent leakage or misuse. Delivery Leadership & Collaboration Producearchitecture blueprints, target state designs, andbuild/run guardrails; guide PoCs and pilots to derisk solutions. Mentor data engineers, analysts, and junior architects; leaddesign reviews,threat modeling, andcost/performancereviews. Communicate clearly with technical and nontechnical stakeholders, champion a culture ofengineering excellenceandlearning. What You'll Bring This position is not eligible for employer-sponsored work authorization or visa sponsorship (including initial, transfer, or extension), and candidates must be authorized to work in the United States at the time of application and remain authorized for the duration of employment without the need for sponsorship. Bachelor's or master's incomputer science, Information Systems, Data Engineering, or related field (or equivalent experience). Relevant certifications a plus (e.g.,AWS Data Analytics/Solutions Architect preferred). 10+ yearsdesigning and delivering enterprise data solutions, includinghands-onwork with bothtraditional DBMSandcloud nativedata platforms. 5+ yearsbuilding on cloud platformswith production experience in several of:S3, Glue, Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Lambda, Step Functions, EventBridge, SageMaker. Demonstrated expertise implementingdata propagation Lakehousepatterns and governanceat scale. Proven track record supportingAI/MLworkloads (feature stores, model data pipelines) and deliveringRAGsolutions with vector search on AWS. StrongSQLandPython; proficiency indata modeling-IFC (preferred),3NF, dimensional/star, data vault, etc. DBMS:SQL Server,PostgreSQL(schema, indexing, query planning, replication/HA, partitioning, backup/restore). Data Engineering:Spark/EMR,Glue(ETL/ELT & Studio),Airflow/Step Functionsorchestration,Parquet/Delta/Iceberg. Streaming/CDC:MSK/Kinesis,DMS(change data capture),event drivenpatterns. Security & Governance:IAM,KMS,Lake Formation,Secrets Manager, data masking/tokenization, RBAC/ABAC. AI/LLM enablement:Amazon Bedrock(Knowledge Bases, Guardrails, Agents), embeddings, chunking, retrieval,prompt design,token optimization, evaluation loops. Observability & FinOps: Cloud logs/metrics, lineage/quality SLAs,cost controls(storage/compute), workload rightsizing. DevOps/MLOps/IaC:Git,CI/CDfor data pipelines;Terraform/CDK; environment promotion; artifact/versioning ; blue/green or canary for data jobs. Preferred Skills Experience withRedshift RA3/Spectrum,materialized views,workload management, and federated queries (Athena/Glue). Familiarity withPower BI/Microsoft FabricandAmazon Quick Sight; semantic modeling and governance for BI. Exposure to privacy enhancing technologies(anonymization, differential privacy),policy as code, andguardrailframeworks. Experience working withgeographically distributed teamsandregulated data. Strategic thinking with the ability to balance short-term incrementsandlong term architecture. Excellent written and verbal communication, facilitation of architecture decisions, and stakeholder alignment. Mentoring mindset and demonstrated influence without authority across cross functional teams. What's In It for You We're a big company with a family-owned feel. You will be given the opportunity to make big changes that will ripple throughout the industry while feeling right at home with the Hilti family. In addition to a competitive base salary and bonus potential, we offer a robust benefits package including a generous paid time off policy that includes vacation, personal days, health & wellness, and 2 days per year to give back in your local community, paid family leave, educational reimbursement, 401(k) matching, medical/dental/vision coverage, and a variety of other benefits to fit the needs of our employees. Why Hilti Hilti is a global leader in construction innovation, with more than 34,000 team members across 120 countries. Guided by our purpose, Making Construction Better, we're driven to keep learning, growing, and finding new ways to make a lasting impact. Here, you'll be empowered to use your strengths, work with a global and inclusive team, and take on meaningful challenges. At Hilti, you'll have the chance to make your ideas, achievements, and growth real through purpose, passion, and teamwork. Commitment to Inclusion At Hilti, inclusion is a key focus in how we work, lead, and grow together. We are committed to embracing diversity of thought and creating an environment that is inclusive of everyone, everywhere. We continuously strive to ensure every voice is valued and every team member feels empowered to contribute. By building on this foundation, we strengthen our teams, our innovation, and our impact, making construction better together. Hilti Inc is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.
08/04/2026
Full time
Job Description Architect the Future of Enterprise Intelligence TheSenior Data Architectprovides technical leadership across Hilti's data landscape shaping enterprise data strategy and designing scalable, secure, and well governed data platforms that power analytics, AI/ML, and intelligent applications. This role spanstraditional data management(DBMS, data modeling, warehousing, governance) andmodern cloud native/AI data engineeringon AWS, includingbronze, silver, gold patterns, Generation (RAG)for LLMs, and data products that serve Cloud-native SaaSapplication teams at global scale. You will collaborate with business stakeholders, data scientists, engineers, and platform teams to translate use cases intotarget data architectures, ensuring performance, reliability, security, and cost efficiency at global scale. What You'll do Modern Data Platform on One or More Cloud Platforms Architect end-to-end pipelines across from raw to polished layers using Cloud native services such asS3, Glue (ETL & Data Catalog), Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Step Functions, Lambda, EventBridge. Define storage/format strategies (e.g.,Parquet/Delta/Apache Iceberg) and partitioning, compaction, and indexing for performance and cost. Implementrow/ column level security, encryption (KMS), secrets management, and fine-grained authorization viaIAM/Lake Formation. AI/ML & Amazon Bedrock Data Foundations Design datasets andfeature/knowledgelayers to supportSageMakertraining/inference andAmazon Bedrockapplications (e.g.,Knowledge Bases,Guardrails,Agents, and Invoke Model/Converse orchestration). LeadRAGarchitectures (chunking, embeddings, retrieval) usingvector databasessuch asAmazon OpenSearch Serverless (vector search)orAurora PostgreSQL + pgvector; define evaluation and feedback loops to improve answer quality. Setprompt, context, and token budgetstandards; guide teams on safe data handling for LLMs (PII redaction, policy driven filters, secured context injection). Tradition Data Architecture & DBMS Excellence Provide deep expertise in relational and NoSQL systems:SQL Server,PostgreSQL,MongoDB, includingschema design, indexing, query/perf tuning, replication, partitioning, and HA/DR. Design and governEDW/ Lakehouse/ODSpatterns ; integrate with.NET/C andAngularfrontends via well designed APIs and data contracts. Integration, Interoperability & Application Alignment DefineAPI and data contract standards(REST/GraphQL, Protobuf/Avro/JSON), ensuring consistent versioning and backward compatibility for.NET/C. Orchestrate ingestion fromSAP, Salesforce, IoT/telemetry, external data sources, and partner ecosystems; standardize CDC and streaming patterns (e.g.,MSK/Kinesis,DMS,Glue). Partner with Solution/Platform Architects to ensuremicroservicesandevent drivendesigns are data efficient and observability ready. Data Governance, Quality & Observability Implementdata governance(policies, stewardship, data classification),cataloging(Glue Data Catalog),lineage(Open Lineage compatible), andquality(rules, thresholds, SLAs/SLOs). Embedmonitoring & cost governance(CloudWatch, CloudTrail, Cost Explorer, Lake Formation audit, data access logs) and drive continuous optimization (storage tiers, compaction, pruning). Security, Compliance & Risk Enforce privacy and compliance (e.g., GDPR) withdata minimization, tokenization, masking, andaccess controlsacross environments. Define secure patterns formodel inputs/outputs(LLM safety),prompt hygiene, andguardrailsto prevent leakage or misuse. Delivery Leadership & Collaboration Producearchitecture blueprints, target state designs, andbuild/run guardrails; guide PoCs and pilots to derisk solutions. Mentor data engineers, analysts, and junior architects; leaddesign reviews,threat modeling, andcost/performancereviews. Communicate clearly with technical and nontechnical stakeholders, champion a culture ofengineering excellenceandlearning. What You'll Bring This position is not eligible for employer-sponsored work authorization or visa sponsorship (including initial, transfer, or extension), and candidates must be authorized to work in the United States at the time of application and remain authorized for the duration of employment without the need for sponsorship. Bachelor's or master's incomputer science, Information Systems, Data Engineering, or related field (or equivalent experience). Relevant certifications a plus (e.g.,AWS Data Analytics/Solutions Architect preferred). 10+ yearsdesigning and delivering enterprise data solutions, includinghands-onwork with bothtraditional DBMSandcloud nativedata platforms. 5+ yearsbuilding on cloud platformswith production experience in several of:S3, Glue, Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Lambda, Step Functions, EventBridge, SageMaker. Demonstrated expertise implementingdata propagation Lakehousepatterns and governanceat scale. Proven track record supportingAI/MLworkloads (feature stores, model data pipelines) and deliveringRAGsolutions with vector search on AWS. StrongSQLandPython; proficiency indata modeling-IFC (preferred),3NF, dimensional/star, data vault, etc. DBMS:SQL Server,PostgreSQL(schema, indexing, query planning, replication/HA, partitioning, backup/restore). Data Engineering:Spark/EMR,Glue(ETL/ELT & Studio),Airflow/Step Functionsorchestration,Parquet/Delta/Iceberg. Streaming/CDC:MSK/Kinesis,DMS(change data capture),event drivenpatterns. Security & Governance:IAM,KMS,Lake Formation,Secrets Manager, data masking/tokenization, RBAC/ABAC. AI/LLM enablement:Amazon Bedrock(Knowledge Bases, Guardrails, Agents), embeddings, chunking, retrieval,prompt design,token optimization, evaluation loops. Observability & FinOps: Cloud logs/metrics, lineage/quality SLAs,cost controls(storage/compute), workload rightsizing. DevOps/MLOps/IaC:Git,CI/CDfor data pipelines;Terraform/CDK; environment promotion; artifact/versioning ; blue/green or canary for data jobs. Preferred Skills Experience withRedshift RA3/Spectrum,materialized views,workload management, and federated queries (Athena/Glue). Familiarity withPower BI/Microsoft FabricandAmazon Quick Sight; semantic modeling and governance for BI. Exposure to privacy enhancing technologies(anonymization, differential privacy),policy as code, andguardrailframeworks. Experience working withgeographically distributed teamsandregulated data. Strategic thinking with the ability to balance short-term incrementsandlong term architecture. Excellent written and verbal communication, facilitation of architecture decisions, and stakeholder alignment. Mentoring mindset and demonstrated influence without authority across cross functional teams. What's In It for You We're a big company with a family-owned feel. You will be given the opportunity to make big changes that will ripple throughout the industry while feeling right at home with the Hilti family. In addition to a competitive base salary and bonus potential, we offer a robust benefits package including a generous paid time off policy that includes vacation, personal days, health & wellness, and 2 days per year to give back in your local community, paid family leave, educational reimbursement, 401(k) matching, medical/dental/vision coverage, and a variety of other benefits to fit the needs of our employees. Why Hilti Hilti is a global leader in construction innovation, with more than 34,000 team members across 120 countries. Guided by our purpose, Making Construction Better, we're driven to keep learning, growing, and finding new ways to make a lasting impact. Here, you'll be empowered to use your strengths, work with a global and inclusive team, and take on meaningful challenges. At Hilti, you'll have the chance to make your ideas, achievements, and growth real through purpose, passion, and teamwork. Commitment to Inclusion At Hilti, inclusion is a key focus in how we work, lead, and grow together. We are committed to embracing diversity of thought and creating an environment that is inclusive of everyone, everywhere. We continuously strive to ensure every voice is valued and every team member feels empowered to contribute. By building on this foundation, we strengthen our teams, our innovation, and our impact, making construction better together. Hilti Inc is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.
Job Description Architect the Future of Enterprise Intelligence TheSenior Data Architectprovides technical leadership across Hilti's data landscape shaping enterprise data strategy and designing scalable, secure, and well governed data platforms that power analytics, AI/ML, and intelligent applications. This role spanstraditional data management(DBMS, data modeling, warehousing, governance) andmodern cloud native/AI data engineeringon AWS, includingbronze, silver, gold patterns, Generation (RAG)for LLMs, and data products that serve Cloud-native SaaSapplication teams at global scale. You will collaborate with business stakeholders, data scientists, engineers, and platform teams to translate use cases intotarget data architectures, ensuring performance, reliability, security, and cost efficiency at global scale. What You'll do Modern Data Platform on One or More Cloud Platforms Architect end-to-end pipelines across from raw to polished layers using Cloud native services such asS3, Glue (ETL & Data Catalog), Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Step Functions, Lambda, EventBridge. Define storage/format strategies (e.g.,Parquet/Delta/Apache Iceberg) and partitioning, compaction, and indexing for performance and cost. Implementrow/ column level security, encryption (KMS), secrets management, and fine-grained authorization viaIAM/Lake Formation. AI/ML & Amazon Bedrock Data Foundations Design datasets andfeature/knowledgelayers to supportSageMakertraining/inference andAmazon Bedrockapplications (e.g.,Knowledge Bases,Guardrails,Agents, and Invoke Model/Converse orchestration). LeadRAGarchitectures (chunking, embeddings, retrieval) usingvector databasessuch asAmazon OpenSearch Serverless (vector search)orAurora PostgreSQL + pgvector; define evaluation and feedback loops to improve answer quality. Setprompt, context, and token budgetstandards; guide teams on safe data handling for LLMs (PII redaction, policy driven filters, secured context injection). Tradition Data Architecture & DBMS Excellence Provide deep expertise in relational and NoSQL systems:SQL Server,PostgreSQL,MongoDB, includingschema design, indexing, query/perf tuning, replication, partitioning, and HA/DR. Design and governEDW/ Lakehouse/ODSpatterns ; integrate with.NET/C andAngularfrontends via well designed APIs and data contracts. Integration, Interoperability & Application Alignment DefineAPI and data contract standards(REST/GraphQL, Protobuf/Avro/JSON), ensuring consistent versioning and backward compatibility for.NET/C. Orchestrate ingestion fromSAP, Salesforce, IoT/telemetry, external data sources, and partner ecosystems; standardize CDC and streaming patterns (e.g.,MSK/Kinesis,DMS,Glue). Partner with Solution/Platform Architects to ensuremicroservicesandevent drivendesigns are data efficient and observability ready. Data Governance, Quality & Observability Implementdata governance(policies, stewardship, data classification),cataloging(Glue Data Catalog),lineage(Open Lineage compatible), andquality(rules, thresholds, SLAs/SLOs). Embedmonitoring & cost governance(CloudWatch, CloudTrail, Cost Explorer, Lake Formation audit, data access logs) and drive continuous optimization (storage tiers, compaction, pruning). Security, Compliance & Risk Enforce privacy and compliance (e.g., GDPR) withdata minimization, tokenization, masking, andaccess controlsacross environments. Define secure patterns formodel inputs/outputs(LLM safety),prompt hygiene, andguardrailsto prevent leakage or misuse. Delivery Leadership & Collaboration Producearchitecture blueprints, target state designs, andbuild/run guardrails; guide PoCs and pilots to derisk solutions. Mentor data engineers, analysts, and junior architects; leaddesign reviews,threat modeling, andcost/performancereviews. Communicate clearly with technical and nontechnical stakeholders, champion a culture ofengineering excellenceandlearning. What You'll Bring This position is not eligible for employer-sponsored work authorization or visa sponsorship (including initial, transfer, or extension), and candidates must be authorized to work in the United States at the time of application and remain authorized for the duration of employment without the need for sponsorship. Bachelor's or master's incomputer science, Information Systems, Data Engineering, or related field (or equivalent experience). Relevant certifications a plus (e.g.,AWS Data Analytics/Solutions Architect preferred). 10+ yearsdesigning and delivering enterprise data solutions, includinghands-onwork with bothtraditional DBMSandcloud nativedata platforms. 5+ yearsbuilding on cloud platformswith production experience in several of:S3, Glue, Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Lambda, Step Functions, EventBridge, SageMaker. Demonstrated expertise implementingdata propagation Lakehousepatterns and governanceat scale. Proven track record supportingAI/MLworkloads (feature stores, model data pipelines) and deliveringRAGsolutions with vector search on AWS. StrongSQLandPython; proficiency indata modeling-IFC (preferred),3NF, dimensional/star, data vault, etc. DBMS:SQL Server,PostgreSQL(schema, indexing, query planning, replication/HA, partitioning, backup/restore). Data Engineering:Spark/EMR,Glue(ETL/ELT & Studio),Airflow/Step Functionsorchestration,Parquet/Delta/Iceberg. Streaming/CDC:MSK/Kinesis,DMS(change data capture),event drivenpatterns. Security & Governance:IAM,KMS,Lake Formation,Secrets Manager, data masking/tokenization, RBAC/ABAC. AI/LLM enablement:Amazon Bedrock(Knowledge Bases, Guardrails, Agents), embeddings, chunking, retrieval,prompt design,token optimization, evaluation loops. Observability & FinOps: Cloud logs/metrics, lineage/quality SLAs,cost controls(storage/compute), workload rightsizing. DevOps/MLOps/IaC:Git,CI/CDfor data pipelines;Terraform/CDK; environment promotion; artifact/versioning ; blue/green or canary for data jobs. Preferred Skills Experience withRedshift RA3/Spectrum,materialized views,workload management, and federated queries (Athena/Glue). Familiarity withPower BI/Microsoft FabricandAmazon Quick Sight; semantic modeling and governance for BI. Exposure to privacy enhancing technologies(anonymization, differential privacy),policy as code, andguardrailframeworks. Experience working withgeographically distributed teamsandregulated data. Strategic thinking with the ability to balance short-term incrementsandlong term architecture. Excellent written and verbal communication, facilitation of architecture decisions, and stakeholder alignment. Mentoring mindset and demonstrated influence without authority across cross functional teams. What's In It for You We're a big company with a family-owned feel. You will be given the opportunity to make big changes that will ripple throughout the industry while feeling right at home with the Hilti family. In addition to a competitive base salary and bonus potential, we offer a robust benefits package including a generous paid time off policy that includes vacation, personal days, health & wellness, and 2 days per year to give back in your local community, paid family leave, educational reimbursement, 401(k) matching, medical/dental/vision coverage, and a variety of other benefits to fit the needs of our employees. Why Hilti Hilti is a global leader in construction innovation, with more than 34,000 team members across 120 countries. Guided by our purpose, Making Construction Better, we're driven to keep learning, growing, and finding new ways to make a lasting impact. Here, you'll be empowered to use your strengths, work with a global and inclusive team, and take on meaningful challenges. At Hilti, you'll have the chance to make your ideas, achievements, and growth real through purpose, passion, and teamwork. Commitment to Inclusion At Hilti, inclusion is a key focus in how we work, lead, and grow together. We are committed to embracing diversity of thought and creating an environment that is inclusive of everyone, everywhere. We continuously strive to ensure every voice is valued and every team member feels empowered to contribute. By building on this foundation, we strengthen our teams, our innovation, and our impact, making construction better together. Hilti Inc is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.
08/04/2026
Full time
Job Description Architect the Future of Enterprise Intelligence TheSenior Data Architectprovides technical leadership across Hilti's data landscape shaping enterprise data strategy and designing scalable, secure, and well governed data platforms that power analytics, AI/ML, and intelligent applications. This role spanstraditional data management(DBMS, data modeling, warehousing, governance) andmodern cloud native/AI data engineeringon AWS, includingbronze, silver, gold patterns, Generation (RAG)for LLMs, and data products that serve Cloud-native SaaSapplication teams at global scale. You will collaborate with business stakeholders, data scientists, engineers, and platform teams to translate use cases intotarget data architectures, ensuring performance, reliability, security, and cost efficiency at global scale. What You'll do Modern Data Platform on One or More Cloud Platforms Architect end-to-end pipelines across from raw to polished layers using Cloud native services such asS3, Glue (ETL & Data Catalog), Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Step Functions, Lambda, EventBridge. Define storage/format strategies (e.g.,Parquet/Delta/Apache Iceberg) and partitioning, compaction, and indexing for performance and cost. Implementrow/ column level security, encryption (KMS), secrets management, and fine-grained authorization viaIAM/Lake Formation. AI/ML & Amazon Bedrock Data Foundations Design datasets andfeature/knowledgelayers to supportSageMakertraining/inference andAmazon Bedrockapplications (e.g.,Knowledge Bases,Guardrails,Agents, and Invoke Model/Converse orchestration). LeadRAGarchitectures (chunking, embeddings, retrieval) usingvector databasessuch asAmazon OpenSearch Serverless (vector search)orAurora PostgreSQL + pgvector; define evaluation and feedback loops to improve answer quality. Setprompt, context, and token budgetstandards; guide teams on safe data handling for LLMs (PII redaction, policy driven filters, secured context injection). Tradition Data Architecture & DBMS Excellence Provide deep expertise in relational and NoSQL systems:SQL Server,PostgreSQL,MongoDB, includingschema design, indexing, query/perf tuning, replication, partitioning, and HA/DR. Design and governEDW/ Lakehouse/ODSpatterns ; integrate with.NET/C andAngularfrontends via well designed APIs and data contracts. Integration, Interoperability & Application Alignment DefineAPI and data contract standards(REST/GraphQL, Protobuf/Avro/JSON), ensuring consistent versioning and backward compatibility for.NET/C. Orchestrate ingestion fromSAP, Salesforce, IoT/telemetry, external data sources, and partner ecosystems; standardize CDC and streaming patterns (e.g.,MSK/Kinesis,DMS,Glue). Partner with Solution/Platform Architects to ensuremicroservicesandevent drivendesigns are data efficient and observability ready. Data Governance, Quality & Observability Implementdata governance(policies, stewardship, data classification),cataloging(Glue Data Catalog),lineage(Open Lineage compatible), andquality(rules, thresholds, SLAs/SLOs). Embedmonitoring & cost governance(CloudWatch, CloudTrail, Cost Explorer, Lake Formation audit, data access logs) and drive continuous optimization (storage tiers, compaction, pruning). Security, Compliance & Risk Enforce privacy and compliance (e.g., GDPR) withdata minimization, tokenization, masking, andaccess controlsacross environments. Define secure patterns formodel inputs/outputs(LLM safety),prompt hygiene, andguardrailsto prevent leakage or misuse. Delivery Leadership & Collaboration Producearchitecture blueprints, target state designs, andbuild/run guardrails; guide PoCs and pilots to derisk solutions. Mentor data engineers, analysts, and junior architects; leaddesign reviews,threat modeling, andcost/performancereviews. Communicate clearly with technical and nontechnical stakeholders, champion a culture ofengineering excellenceandlearning. What You'll Bring This position is not eligible for employer-sponsored work authorization or visa sponsorship (including initial, transfer, or extension), and candidates must be authorized to work in the United States at the time of application and remain authorized for the duration of employment without the need for sponsorship. Bachelor's or master's incomputer science, Information Systems, Data Engineering, or related field (or equivalent experience). Relevant certifications a plus (e.g.,AWS Data Analytics/Solutions Architect preferred). 10+ yearsdesigning and delivering enterprise data solutions, includinghands-onwork with bothtraditional DBMSandcloud nativedata platforms. 5+ yearsbuilding on cloud platformswith production experience in several of:S3, Glue, Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Lambda, Step Functions, EventBridge, SageMaker. Demonstrated expertise implementingdata propagation Lakehousepatterns and governanceat scale. Proven track record supportingAI/MLworkloads (feature stores, model data pipelines) and deliveringRAGsolutions with vector search on AWS. StrongSQLandPython; proficiency indata modeling-IFC (preferred),3NF, dimensional/star, data vault, etc. DBMS:SQL Server,PostgreSQL(schema, indexing, query planning, replication/HA, partitioning, backup/restore). Data Engineering:Spark/EMR,Glue(ETL/ELT & Studio),Airflow/Step Functionsorchestration,Parquet/Delta/Iceberg. Streaming/CDC:MSK/Kinesis,DMS(change data capture),event drivenpatterns. Security & Governance:IAM,KMS,Lake Formation,Secrets Manager, data masking/tokenization, RBAC/ABAC. AI/LLM enablement:Amazon Bedrock(Knowledge Bases, Guardrails, Agents), embeddings, chunking, retrieval,prompt design,token optimization, evaluation loops. Observability & FinOps: Cloud logs/metrics, lineage/quality SLAs,cost controls(storage/compute), workload rightsizing. DevOps/MLOps/IaC:Git,CI/CDfor data pipelines;Terraform/CDK; environment promotion; artifact/versioning ; blue/green or canary for data jobs. Preferred Skills Experience withRedshift RA3/Spectrum,materialized views,workload management, and federated queries (Athena/Glue). Familiarity withPower BI/Microsoft FabricandAmazon Quick Sight; semantic modeling and governance for BI. Exposure to privacy enhancing technologies(anonymization, differential privacy),policy as code, andguardrailframeworks. Experience working withgeographically distributed teamsandregulated data. Strategic thinking with the ability to balance short-term incrementsandlong term architecture. Excellent written and verbal communication, facilitation of architecture decisions, and stakeholder alignment. Mentoring mindset and demonstrated influence without authority across cross functional teams. What's In It for You We're a big company with a family-owned feel. You will be given the opportunity to make big changes that will ripple throughout the industry while feeling right at home with the Hilti family. In addition to a competitive base salary and bonus potential, we offer a robust benefits package including a generous paid time off policy that includes vacation, personal days, health & wellness, and 2 days per year to give back in your local community, paid family leave, educational reimbursement, 401(k) matching, medical/dental/vision coverage, and a variety of other benefits to fit the needs of our employees. Why Hilti Hilti is a global leader in construction innovation, with more than 34,000 team members across 120 countries. Guided by our purpose, Making Construction Better, we're driven to keep learning, growing, and finding new ways to make a lasting impact. Here, you'll be empowered to use your strengths, work with a global and inclusive team, and take on meaningful challenges. At Hilti, you'll have the chance to make your ideas, achievements, and growth real through purpose, passion, and teamwork. Commitment to Inclusion At Hilti, inclusion is a key focus in how we work, lead, and grow together. We are committed to embracing diversity of thought and creating an environment that is inclusive of everyone, everywhere. We continuously strive to ensure every voice is valued and every team member feels empowered to contribute. By building on this foundation, we strengthen our teams, our innovation, and our impact, making construction better together. Hilti Inc is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.
Job Description Architect the Future of Enterprise Intelligence TheSenior Data Architectprovides technical leadership across Hilti's data landscape shaping enterprise data strategy and designing scalable, secure, and well governed data platforms that power analytics, AI/ML, and intelligent applications. This role spanstraditional data management(DBMS, data modeling, warehousing, governance) andmodern cloud native/AI data engineeringon AWS, includingbronze, silver, gold patterns, Generation (RAG)for LLMs, and data products that serve Cloud-native SaaSapplication teams at global scale. You will collaborate with business stakeholders, data scientists, engineers, and platform teams to translate use cases intotarget data architectures, ensuring performance, reliability, security, and cost efficiency at global scale. What You'll do Modern Data Platform on One or More Cloud Platforms Architect end-to-end pipelines across from raw to polished layers using Cloud native services such asS3, Glue (ETL & Data Catalog), Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Step Functions, Lambda, EventBridge. Define storage/format strategies (e.g.,Parquet/Delta/Apache Iceberg) and partitioning, compaction, and indexing for performance and cost. Implementrow/ column level security, encryption (KMS), secrets management, and fine-grained authorization viaIAM/Lake Formation. AI/ML & Amazon Bedrock Data Foundations Design datasets andfeature/knowledgelayers to supportSageMakertraining/inference andAmazon Bedrockapplications (e.g.,Knowledge Bases,Guardrails,Agents, and Invoke Model/Converse orchestration). LeadRAGarchitectures (chunking, embeddings, retrieval) usingvector databasessuch asAmazon OpenSearch Serverless (vector search)orAurora PostgreSQL + pgvector; define evaluation and feedback loops to improve answer quality. Setprompt, context, and token budgetstandards; guide teams on safe data handling for LLMs (PII redaction, policy driven filters, secured context injection). Tradition Data Architecture & DBMS Excellence Provide deep expertise in relational and NoSQL systems:SQL Server,PostgreSQL,MongoDB, includingschema design, indexing, query/perf tuning, replication, partitioning, and HA/DR. Design and governEDW/ Lakehouse/ODSpatterns ; integrate with.NET/C andAngularfrontends via well designed APIs and data contracts. Integration, Interoperability & Application Alignment DefineAPI and data contract standards(REST/GraphQL, Protobuf/Avro/JSON), ensuring consistent versioning and backward compatibility for.NET/C. Orchestrate ingestion fromSAP, Salesforce, IoT/telemetry, external data sources, and partner ecosystems; standardize CDC and streaming patterns (e.g.,MSK/Kinesis,DMS,Glue). Partner with Solution/Platform Architects to ensuremicroservicesandevent drivendesigns are data efficient and observability ready. Data Governance, Quality & Observability Implementdata governance(policies, stewardship, data classification),cataloging(Glue Data Catalog),lineage(Open Lineage compatible), andquality(rules, thresholds, SLAs/SLOs). Embedmonitoring & cost governance(CloudWatch, CloudTrail, Cost Explorer, Lake Formation audit, data access logs) and drive continuous optimization (storage tiers, compaction, pruning). Security, Compliance & Risk Enforce privacy and compliance (e.g., GDPR) withdata minimization, tokenization, masking, andaccess controlsacross environments. Define secure patterns formodel inputs/outputs(LLM safety),prompt hygiene, andguardrailsto prevent leakage or misuse. Delivery Leadership & Collaboration Producearchitecture blueprints, target state designs, andbuild/run guardrails; guide PoCs and pilots to derisk solutions. Mentor data engineers, analysts, and junior architects; leaddesign reviews,threat modeling, andcost/performancereviews. Communicate clearly with technical and nontechnical stakeholders, champion a culture ofengineering excellenceandlearning. What You'll Bring This position is not eligible for employer-sponsored work authorization or visa sponsorship (including initial, transfer, or extension), and candidates must be authorized to work in the United States at the time of application and remain authorized for the duration of employment without the need for sponsorship. Bachelor's or master's incomputer science, Information Systems, Data Engineering, or related field (or equivalent experience). Relevant certifications a plus (e.g.,AWS Data Analytics/Solutions Architect preferred). 10+ yearsdesigning and delivering enterprise data solutions, includinghands-onwork with bothtraditional DBMSandcloud nativedata platforms. 5+ yearsbuilding on cloud platformswith production experience in several of:S3, Glue, Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Lambda, Step Functions, EventBridge, SageMaker. Demonstrated expertise implementingdata propagation Lakehousepatterns and governanceat scale. Proven track record supportingAI/MLworkloads (feature stores, model data pipelines) and deliveringRAGsolutions with vector search on AWS. StrongSQLandPython; proficiency indata modeling-IFC (preferred),3NF, dimensional/star, data vault, etc. DBMS:SQL Server,PostgreSQL(schema, indexing, query planning, replication/HA, partitioning, backup/restore). Data Engineering:Spark/EMR,Glue(ETL/ELT & Studio),Airflow/Step Functionsorchestration,Parquet/Delta/Iceberg. Streaming/CDC:MSK/Kinesis,DMS(change data capture),event drivenpatterns. Security & Governance:IAM,KMS,Lake Formation,Secrets Manager, data masking/tokenization, RBAC/ABAC. AI/LLM enablement:Amazon Bedrock(Knowledge Bases, Guardrails, Agents), embeddings, chunking, retrieval,prompt design,token optimization, evaluation loops. Observability & FinOps: Cloud logs/metrics, lineage/quality SLAs,cost controls(storage/compute), workload rightsizing. DevOps/MLOps/IaC:Git,CI/CDfor data pipelines;Terraform/CDK; environment promotion; artifact/versioning ; blue/green or canary for data jobs. Preferred Skills Experience withRedshift RA3/Spectrum,materialized views,workload management, and federated queries (Athena/Glue). Familiarity withPower BI/Microsoft FabricandAmazon Quick Sight; semantic modeling and governance for BI. Exposure to privacy enhancing technologies(anonymization, differential privacy),policy as code, andguardrailframeworks. Experience working withgeographically distributed teamsandregulated data. Strategic thinking with the ability to balance short-term incrementsandlong term architecture. Excellent written and verbal communication, facilitation of architecture decisions, and stakeholder alignment. Mentoring mindset and demonstrated influence without authority across cross functional teams. What's In It for You We're a big company with a family-owned feel. You will be given the opportunity to make big changes that will ripple throughout the industry while feeling right at home with the Hilti family. In addition to a competitive base salary and bonus potential, we offer a robust benefits package including a generous paid time off policy that includes vacation, personal days, health & wellness, and 2 days per year to give back in your local community, paid family leave, educational reimbursement, 401(k) matching, medical/dental/vision coverage, and a variety of other benefits to fit the needs of our employees. Why Hilti Hilti is a global leader in construction innovation, with more than 34,000 team members across 120 countries. Guided by our purpose, Making Construction Better, we're driven to keep learning, growing, and finding new ways to make a lasting impact. Here, you'll be empowered to use your strengths, work with a global and inclusive team, and take on meaningful challenges. At Hilti, you'll have the chance to make your ideas, achievements, and growth real through purpose, passion, and teamwork. Commitment to Inclusion At Hilti, inclusion is a key focus in how we work, lead, and grow together. We are committed to embracing diversity of thought and creating an environment that is inclusive of everyone, everywhere. We continuously strive to ensure every voice is valued and every team member feels empowered to contribute. By building on this foundation, we strengthen our teams, our innovation, and our impact, making construction better together. Hilti Inc is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.
08/04/2026
Full time
Job Description Architect the Future of Enterprise Intelligence TheSenior Data Architectprovides technical leadership across Hilti's data landscape shaping enterprise data strategy and designing scalable, secure, and well governed data platforms that power analytics, AI/ML, and intelligent applications. This role spanstraditional data management(DBMS, data modeling, warehousing, governance) andmodern cloud native/AI data engineeringon AWS, includingbronze, silver, gold patterns, Generation (RAG)for LLMs, and data products that serve Cloud-native SaaSapplication teams at global scale. You will collaborate with business stakeholders, data scientists, engineers, and platform teams to translate use cases intotarget data architectures, ensuring performance, reliability, security, and cost efficiency at global scale. What You'll do Modern Data Platform on One or More Cloud Platforms Architect end-to-end pipelines across from raw to polished layers using Cloud native services such asS3, Glue (ETL & Data Catalog), Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Step Functions, Lambda, EventBridge. Define storage/format strategies (e.g.,Parquet/Delta/Apache Iceberg) and partitioning, compaction, and indexing for performance and cost. Implementrow/ column level security, encryption (KMS), secrets management, and fine-grained authorization viaIAM/Lake Formation. AI/ML & Amazon Bedrock Data Foundations Design datasets andfeature/knowledgelayers to supportSageMakertraining/inference andAmazon Bedrockapplications (e.g.,Knowledge Bases,Guardrails,Agents, and Invoke Model/Converse orchestration). LeadRAGarchitectures (chunking, embeddings, retrieval) usingvector databasessuch asAmazon OpenSearch Serverless (vector search)orAurora PostgreSQL + pgvector; define evaluation and feedback loops to improve answer quality. Setprompt, context, and token budgetstandards; guide teams on safe data handling for LLMs (PII redaction, policy driven filters, secured context injection). Tradition Data Architecture & DBMS Excellence Provide deep expertise in relational and NoSQL systems:SQL Server,PostgreSQL,MongoDB, includingschema design, indexing, query/perf tuning, replication, partitioning, and HA/DR. Design and governEDW/ Lakehouse/ODSpatterns ; integrate with.NET/C andAngularfrontends via well designed APIs and data contracts. Integration, Interoperability & Application Alignment DefineAPI and data contract standards(REST/GraphQL, Protobuf/Avro/JSON), ensuring consistent versioning and backward compatibility for.NET/C. Orchestrate ingestion fromSAP, Salesforce, IoT/telemetry, external data sources, and partner ecosystems; standardize CDC and streaming patterns (e.g.,MSK/Kinesis,DMS,Glue). Partner with Solution/Platform Architects to ensuremicroservicesandevent drivendesigns are data efficient and observability ready. Data Governance, Quality & Observability Implementdata governance(policies, stewardship, data classification),cataloging(Glue Data Catalog),lineage(Open Lineage compatible), andquality(rules, thresholds, SLAs/SLOs). Embedmonitoring & cost governance(CloudWatch, CloudTrail, Cost Explorer, Lake Formation audit, data access logs) and drive continuous optimization (storage tiers, compaction, pruning). Security, Compliance & Risk Enforce privacy and compliance (e.g., GDPR) withdata minimization, tokenization, masking, andaccess controlsacross environments. Define secure patterns formodel inputs/outputs(LLM safety),prompt hygiene, andguardrailsto prevent leakage or misuse. Delivery Leadership & Collaboration Producearchitecture blueprints, target state designs, andbuild/run guardrails; guide PoCs and pilots to derisk solutions. Mentor data engineers, analysts, and junior architects; leaddesign reviews,threat modeling, andcost/performancereviews. Communicate clearly with technical and nontechnical stakeholders, champion a culture ofengineering excellenceandlearning. What You'll Bring This position is not eligible for employer-sponsored work authorization or visa sponsorship (including initial, transfer, or extension), and candidates must be authorized to work in the United States at the time of application and remain authorized for the duration of employment without the need for sponsorship. Bachelor's or master's incomputer science, Information Systems, Data Engineering, or related field (or equivalent experience). Relevant certifications a plus (e.g.,AWS Data Analytics/Solutions Architect preferred). 10+ yearsdesigning and delivering enterprise data solutions, includinghands-onwork with bothtraditional DBMSandcloud nativedata platforms. 5+ yearsbuilding on cloud platformswith production experience in several of:S3, Glue, Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Lambda, Step Functions, EventBridge, SageMaker. Demonstrated expertise implementingdata propagation Lakehousepatterns and governanceat scale. Proven track record supportingAI/MLworkloads (feature stores, model data pipelines) and deliveringRAGsolutions with vector search on AWS. StrongSQLandPython; proficiency indata modeling-IFC (preferred),3NF, dimensional/star, data vault, etc. DBMS:SQL Server,PostgreSQL(schema, indexing, query planning, replication/HA, partitioning, backup/restore). Data Engineering:Spark/EMR,Glue(ETL/ELT & Studio),Airflow/Step Functionsorchestration,Parquet/Delta/Iceberg. Streaming/CDC:MSK/Kinesis,DMS(change data capture),event drivenpatterns. Security & Governance:IAM,KMS,Lake Formation,Secrets Manager, data masking/tokenization, RBAC/ABAC. AI/LLM enablement:Amazon Bedrock(Knowledge Bases, Guardrails, Agents), embeddings, chunking, retrieval,prompt design,token optimization, evaluation loops. Observability & FinOps: Cloud logs/metrics, lineage/quality SLAs,cost controls(storage/compute), workload rightsizing. DevOps/MLOps/IaC:Git,CI/CDfor data pipelines;Terraform/CDK; environment promotion; artifact/versioning ; blue/green or canary for data jobs. Preferred Skills Experience withRedshift RA3/Spectrum,materialized views,workload management, and federated queries (Athena/Glue). Familiarity withPower BI/Microsoft FabricandAmazon Quick Sight; semantic modeling and governance for BI. Exposure to privacy enhancing technologies(anonymization, differential privacy),policy as code, andguardrailframeworks. Experience working withgeographically distributed teamsandregulated data. Strategic thinking with the ability to balance short-term incrementsandlong term architecture. Excellent written and verbal communication, facilitation of architecture decisions, and stakeholder alignment. Mentoring mindset and demonstrated influence without authority across cross functional teams. What's In It for You We're a big company with a family-owned feel. You will be given the opportunity to make big changes that will ripple throughout the industry while feeling right at home with the Hilti family. In addition to a competitive base salary and bonus potential, we offer a robust benefits package including a generous paid time off policy that includes vacation, personal days, health & wellness, and 2 days per year to give back in your local community, paid family leave, educational reimbursement, 401(k) matching, medical/dental/vision coverage, and a variety of other benefits to fit the needs of our employees. Why Hilti Hilti is a global leader in construction innovation, with more than 34,000 team members across 120 countries. Guided by our purpose, Making Construction Better, we're driven to keep learning, growing, and finding new ways to make a lasting impact. Here, you'll be empowered to use your strengths, work with a global and inclusive team, and take on meaningful challenges. At Hilti, you'll have the chance to make your ideas, achievements, and growth real through purpose, passion, and teamwork. Commitment to Inclusion At Hilti, inclusion is a key focus in how we work, lead, and grow together. We are committed to embracing diversity of thought and creating an environment that is inclusive of everyone, everywhere. We continuously strive to ensure every voice is valued and every team member feels empowered to contribute. By building on this foundation, we strengthen our teams, our innovation, and our impact, making construction better together. Hilti Inc is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.
The KPMG Advisory practice is at the forefront of transformation, offering excellent opportunities for individuals to advance their careers and expertise with KPMG. Looking ahead, we anticipate continued evolution and success within the practice, fostering both personal and professional development, thereby creating new pathways for growth. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility, and leading market tools, we help our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory. KPMG is currently seeking a Manager, AI Engineer to join our Advisory Services practice. Responsibilities: End-to-end design and development of AI/ML solutions, leveraging cloud AI services (Microsoft Azure, AWS, Google Cloud) Define solution architectures that integrate LLMs, generative AI, and traditional ML with enterprise platforms Manage AI projects including architecture design, model development, integration, and testing, and ensure projects follow best practices in MLOps, security, compliance, and scalability to support enterprise-grade adoption; partner directly with clients to translate business objectives into technical solutions, aligning with enterprise strategy and measurable outcomes Lead workshops and design sessions with executives, business stakeholders, and technical teams to shape AI roadmaps; oversee deliverable quality and timelines, while proactively managing risks and dependencies; mentor and coach junior engineers and consultants, fostering a culture of innovation, technical excellence, and continuous learning Collaborate with strategic alliance partners (Microsoft, Google, AWS, Salesforce) to incorporate the latest ecosystem innovations into client engagements Stay current with emerging AI/ML technologies, frameworks, and tools, and evaluate their applicability for client needs Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment Qualifications: Minimum five years of recent professional experience in AI/ML, data engineering, or cloud solution engineering, with a minimum two years in a consulting or client-facing leadership role Master's degree from an accredited college or university preferred; minimum of a Bachelor's degree from an accredited college or university in computer science, data science, engineering, or related field required; Professional certifications in cloud AI/ML platforms (for example: Azure AI Engineer Associate, AWS ML Specialty, Google Cloud ML Engineer) are a plus Track record of delivering AI/ML solutions at enterprise scale, including integrations with core business systems with demonstrated ability to lead technical teams, manage deliverables, and build trusted client relationships; hands-on expertise with at least two major cloud AI platforms (Azure AI/ML, AWS Bedrock/SageMaker, or Google Cloud Vertex AI) Proficiency in Python (and/or other relevant languages) with strong experience in API development, microservices, containers, and CI/CD pipelines; familiarity with MLOps frameworks (model monitoring, retraining pipelines, drift detection) and modern data engineering practices Experience in building conversational AI/chatbots, generative AI use cases, or AI-powered automation solutions; knowledge of AI security, data privacy, governance, and ethical AI frameworks Strong problem-solving skills with the ability to translate complex technical concepts for executives; excellent verbal and written communication skills, with experience creating client-facing deliverables Willingness and ability to travel Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa) KPMG LLP and its affiliates and subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work . Follow this link to obtain salary ranges by city outside of CA: KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please. KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them. Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
08/04/2026
Full time
The KPMG Advisory practice is at the forefront of transformation, offering excellent opportunities for individuals to advance their careers and expertise with KPMG. Looking ahead, we anticipate continued evolution and success within the practice, fostering both personal and professional development, thereby creating new pathways for growth. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility, and leading market tools, we help our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory. KPMG is currently seeking a Manager, AI Engineer to join our Advisory Services practice. Responsibilities: End-to-end design and development of AI/ML solutions, leveraging cloud AI services (Microsoft Azure, AWS, Google Cloud) Define solution architectures that integrate LLMs, generative AI, and traditional ML with enterprise platforms Manage AI projects including architecture design, model development, integration, and testing, and ensure projects follow best practices in MLOps, security, compliance, and scalability to support enterprise-grade adoption; partner directly with clients to translate business objectives into technical solutions, aligning with enterprise strategy and measurable outcomes Lead workshops and design sessions with executives, business stakeholders, and technical teams to shape AI roadmaps; oversee deliverable quality and timelines, while proactively managing risks and dependencies; mentor and coach junior engineers and consultants, fostering a culture of innovation, technical excellence, and continuous learning Collaborate with strategic alliance partners (Microsoft, Google, AWS, Salesforce) to incorporate the latest ecosystem innovations into client engagements Stay current with emerging AI/ML technologies, frameworks, and tools, and evaluate their applicability for client needs Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment Qualifications: Minimum five years of recent professional experience in AI/ML, data engineering, or cloud solution engineering, with a minimum two years in a consulting or client-facing leadership role Master's degree from an accredited college or university preferred; minimum of a Bachelor's degree from an accredited college or university in computer science, data science, engineering, or related field required; Professional certifications in cloud AI/ML platforms (for example: Azure AI Engineer Associate, AWS ML Specialty, Google Cloud ML Engineer) are a plus Track record of delivering AI/ML solutions at enterprise scale, including integrations with core business systems with demonstrated ability to lead technical teams, manage deliverables, and build trusted client relationships; hands-on expertise with at least two major cloud AI platforms (Azure AI/ML, AWS Bedrock/SageMaker, or Google Cloud Vertex AI) Proficiency in Python (and/or other relevant languages) with strong experience in API development, microservices, containers, and CI/CD pipelines; familiarity with MLOps frameworks (model monitoring, retraining pipelines, drift detection) and modern data engineering practices Experience in building conversational AI/chatbots, generative AI use cases, or AI-powered automation solutions; knowledge of AI security, data privacy, governance, and ethical AI frameworks Strong problem-solving skills with the ability to translate complex technical concepts for executives; excellent verbal and written communication skills, with experience creating client-facing deliverables Willingness and ability to travel Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa) KPMG LLP and its affiliates and subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work . Follow this link to obtain salary ranges by city outside of CA: KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please. KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them. Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
The Opportunity: We are seeking a highly skilled Salesforce Solutions Architect with deep expertise in Salesforce Financial Services Cloud (FSC) and a strong background in the insurance industry. The ideal candidate will design, architect, and implement scalable Salesforce solutions that align with business objectives, regulatory requirements, and best practices. This role requires a strong understanding of insurance processes, policy management, claims handling, customer engagement, and integrations with core insurance and financial systems. The Impact: Solution Architecture & Design Lead the architectural design and implementation of Salesforce Financial Services Cloud (FSC) solutions tailored for the insurance industry. Define end-to-end system architecture, ensuring loose coupling, scalability, and compliance with enterprise standards. Leverage data integration solutions such as event streaming, application API, ETL tools for consuming and providing access to Salesforce data Develop and maintain a robust data model for insurance-specific FSC objects such as Policy, Claims, Financial Accounts, and Relationships. Design solutions that ensure seamless integration with policy administration systems, underwriting platforms, claims processing, and regulatory compliance tools. Technical Leadership & Development Provide technical leadership to Salesforce development teams, ensuring adherence to Apex, Lightning Web Components (LWC), and API best practices. Knowledge and working experience with Data Cloud Oversee configuration, customization, and integration efforts, ensuring optimal use of Salesforce's declarative capabilities. Drive adoption of automation using Flows, Einstein AI, and OmniStudio. Experience in Digital Engagement (Service Cloud Voice) Ensure high-quality delivery through code reviews, design reviews, and architectural governance. Stakeholder Engagement & Business Alignment Collaborate with business stakeholders, product owners, and insurance domain experts to translate business requirements into technical solutions. Provide architectural guidance on customer engagement, agent portals, self-service platforms, and digital transformation initiatives. Advocate for Salesforce best practices, governance, and security standards. Engage with Enterprise Architecture and influence enterprise recommendations and direction. Integration & Data Strategy Define data migration strategies, ensuring seamless transition from legacy CRM or policy systems. Implement secure and compliant API integrations with core insurance platforms, banking systems, and external services. Work closely with enterprise data architects to ensure data consistency, reporting accuracy, and regulatory compliance. Security & Compliance Ensure solutions comply with insurance industry regulations (e.g., GDPR, HIPAA, FINRA, KYC, AML). Implement role-based security, encryption, and access controls to protect sensitive client and policyholder data. Work with compliance teams to align Salesforce capabilities with industry security requirements. Required Qualifications: Bachelor's Degree in computer science, engineering or technical designation 10+ years of experience in Salesforce architecture and development. Experience implementing Salesforce Financial Services Cloud (FSC). Strong knowledge of insurance processes, such as: policy management, claims processing, underwriting, and customer engagement. Expertise in Apex, Lightning Web Components (LWC), REST/SOAP APIs, and Event-Driven Architecture. Experience integrating Salesforce with policy administration systems, financial platforms, and document management solutions. Strong understanding of Salesforce security, compliance, and governance best practices. Experience with DevOps and CI/CD tools for Salesforce (e.g., Gearset, Copado, Jenkins). Preferred Qualifications: Experience working with OmniStudio, Einstein AI, and Marketing Cloud for customer engagement. Knowledge of insurance regulatory frameworks and how they impact CRM design. Familiarity with Mulesoft and other/home-grown middleware for API integration. Strong background in data modeling and master data management (MDM) for financial services. Salesforce certifications, such as: Salesforce Certified Application Architect Salesforce Certified System Architect Salesforce Certified Financial Services Cloud Accredited Professional (preferred) Salesforce Certified Technical Architect (CTA) (a plus) MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
08/04/2026
Full time
The Opportunity: We are seeking a highly skilled Salesforce Solutions Architect with deep expertise in Salesforce Financial Services Cloud (FSC) and a strong background in the insurance industry. The ideal candidate will design, architect, and implement scalable Salesforce solutions that align with business objectives, regulatory requirements, and best practices. This role requires a strong understanding of insurance processes, policy management, claims handling, customer engagement, and integrations with core insurance and financial systems. The Impact: Solution Architecture & Design Lead the architectural design and implementation of Salesforce Financial Services Cloud (FSC) solutions tailored for the insurance industry. Define end-to-end system architecture, ensuring loose coupling, scalability, and compliance with enterprise standards. Leverage data integration solutions such as event streaming, application API, ETL tools for consuming and providing access to Salesforce data Develop and maintain a robust data model for insurance-specific FSC objects such as Policy, Claims, Financial Accounts, and Relationships. Design solutions that ensure seamless integration with policy administration systems, underwriting platforms, claims processing, and regulatory compliance tools. Technical Leadership & Development Provide technical leadership to Salesforce development teams, ensuring adherence to Apex, Lightning Web Components (LWC), and API best practices. Knowledge and working experience with Data Cloud Oversee configuration, customization, and integration efforts, ensuring optimal use of Salesforce's declarative capabilities. Drive adoption of automation using Flows, Einstein AI, and OmniStudio. Experience in Digital Engagement (Service Cloud Voice) Ensure high-quality delivery through code reviews, design reviews, and architectural governance. Stakeholder Engagement & Business Alignment Collaborate with business stakeholders, product owners, and insurance domain experts to translate business requirements into technical solutions. Provide architectural guidance on customer engagement, agent portals, self-service platforms, and digital transformation initiatives. Advocate for Salesforce best practices, governance, and security standards. Engage with Enterprise Architecture and influence enterprise recommendations and direction. Integration & Data Strategy Define data migration strategies, ensuring seamless transition from legacy CRM or policy systems. Implement secure and compliant API integrations with core insurance platforms, banking systems, and external services. Work closely with enterprise data architects to ensure data consistency, reporting accuracy, and regulatory compliance. Security & Compliance Ensure solutions comply with insurance industry regulations (e.g., GDPR, HIPAA, FINRA, KYC, AML). Implement role-based security, encryption, and access controls to protect sensitive client and policyholder data. Work with compliance teams to align Salesforce capabilities with industry security requirements. Required Qualifications: Bachelor's Degree in computer science, engineering or technical designation 10+ years of experience in Salesforce architecture and development. Experience implementing Salesforce Financial Services Cloud (FSC). Strong knowledge of insurance processes, such as: policy management, claims processing, underwriting, and customer engagement. Expertise in Apex, Lightning Web Components (LWC), REST/SOAP APIs, and Event-Driven Architecture. Experience integrating Salesforce with policy administration systems, financial platforms, and document management solutions. Strong understanding of Salesforce security, compliance, and governance best practices. Experience with DevOps and CI/CD tools for Salesforce (e.g., Gearset, Copado, Jenkins). Preferred Qualifications: Experience working with OmniStudio, Einstein AI, and Marketing Cloud for customer engagement. Knowledge of insurance regulatory frameworks and how they impact CRM design. Familiarity with Mulesoft and other/home-grown middleware for API integration. Strong background in data modeling and master data management (MDM) for financial services. Salesforce certifications, such as: Salesforce Certified Application Architect Salesforce Certified System Architect Salesforce Certified Financial Services Cloud Accredited Professional (preferred) Salesforce Certified Technical Architect (CTA) (a plus) MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
The Opportunity: We are seeking a highly skilled Salesforce Solutions Architect with deep expertise in Salesforce Financial Services Cloud (FSC) and a strong background in the insurance industry. The ideal candidate will design, architect, and implement scalable Salesforce solutions that align with business objectives, regulatory requirements, and best practices. This role requires a strong understanding of insurance processes, policy management, claims handling, customer engagement, and integrations with core insurance and financial systems. The Impact: Solution Architecture & Design Lead the architectural design and implementation of Salesforce Financial Services Cloud (FSC) solutions tailored for the insurance industry. Define end-to-end system architecture, ensuring loose coupling, scalability, and compliance with enterprise standards. Leverage data integration solutions such as event streaming, application API, ETL tools for consuming and providing access to Salesforce data Develop and maintain a robust data model for insurance-specific FSC objects such as Policy, Claims, Financial Accounts, and Relationships. Design solutions that ensure seamless integration with policy administration systems, underwriting platforms, claims processing, and regulatory compliance tools. Technical Leadership & Development Provide technical leadership to Salesforce development teams, ensuring adherence to Apex, Lightning Web Components (LWC), and API best practices. Knowledge and working experience with Data Cloud Oversee configuration, customization, and integration efforts, ensuring optimal use of Salesforce's declarative capabilities. Drive adoption of automation using Flows, Einstein AI, and OmniStudio. Experience in Digital Engagement (Service Cloud Voice) Ensure high-quality delivery through code reviews, design reviews, and architectural governance. Stakeholder Engagement & Business Alignment Collaborate with business stakeholders, product owners, and insurance domain experts to translate business requirements into technical solutions. Provide architectural guidance on customer engagement, agent portals, self-service platforms, and digital transformation initiatives. Advocate for Salesforce best practices, governance, and security standards. Engage with Enterprise Architecture and influence enterprise recommendations and direction. Integration & Data Strategy Define data migration strategies, ensuring seamless transition from legacy CRM or policy systems. Implement secure and compliant API integrations with core insurance platforms, banking systems, and external services. Work closely with enterprise data architects to ensure data consistency, reporting accuracy, and regulatory compliance. Security & Compliance Ensure solutions comply with insurance industry regulations (e.g., GDPR, HIPAA, FINRA, KYC, AML). Implement role-based security, encryption, and access controls to protect sensitive client and policyholder data. Work with compliance teams to align Salesforce capabilities with industry security requirements. Required Qualifications: Bachelor's Degree in computer science, engineering or technical designation 10+ years of experience in Salesforce architecture and development. Experience implementing Salesforce Financial Services Cloud (FSC). Strong knowledge of insurance processes, such as: policy management, claims processing, underwriting, and customer engagement. Expertise in Apex, Lightning Web Components (LWC), REST/SOAP APIs, and Event-Driven Architecture. Experience integrating Salesforce with policy administration systems, financial platforms, and document management solutions. Strong understanding of Salesforce security, compliance, and governance best practices. Experience with DevOps and CI/CD tools for Salesforce (e.g., Gearset, Copado, Jenkins). Preferred Qualifications: Experience working with OmniStudio, Einstein AI, and Marketing Cloud for customer engagement. Knowledge of insurance regulatory frameworks and how they impact CRM design. Familiarity with Mulesoft and other/home-grown middleware for API integration. Strong background in data modeling and master data management (MDM) for financial services. Salesforce certifications, such as: Salesforce Certified Application Architect Salesforce Certified System Architect Salesforce Certified Financial Services Cloud Accredited Professional (preferred) Salesforce Certified Technical Architect (CTA) (a plus) MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
08/04/2026
Full time
The Opportunity: We are seeking a highly skilled Salesforce Solutions Architect with deep expertise in Salesforce Financial Services Cloud (FSC) and a strong background in the insurance industry. The ideal candidate will design, architect, and implement scalable Salesforce solutions that align with business objectives, regulatory requirements, and best practices. This role requires a strong understanding of insurance processes, policy management, claims handling, customer engagement, and integrations with core insurance and financial systems. The Impact: Solution Architecture & Design Lead the architectural design and implementation of Salesforce Financial Services Cloud (FSC) solutions tailored for the insurance industry. Define end-to-end system architecture, ensuring loose coupling, scalability, and compliance with enterprise standards. Leverage data integration solutions such as event streaming, application API, ETL tools for consuming and providing access to Salesforce data Develop and maintain a robust data model for insurance-specific FSC objects such as Policy, Claims, Financial Accounts, and Relationships. Design solutions that ensure seamless integration with policy administration systems, underwriting platforms, claims processing, and regulatory compliance tools. Technical Leadership & Development Provide technical leadership to Salesforce development teams, ensuring adherence to Apex, Lightning Web Components (LWC), and API best practices. Knowledge and working experience with Data Cloud Oversee configuration, customization, and integration efforts, ensuring optimal use of Salesforce's declarative capabilities. Drive adoption of automation using Flows, Einstein AI, and OmniStudio. Experience in Digital Engagement (Service Cloud Voice) Ensure high-quality delivery through code reviews, design reviews, and architectural governance. Stakeholder Engagement & Business Alignment Collaborate with business stakeholders, product owners, and insurance domain experts to translate business requirements into technical solutions. Provide architectural guidance on customer engagement, agent portals, self-service platforms, and digital transformation initiatives. Advocate for Salesforce best practices, governance, and security standards. Engage with Enterprise Architecture and influence enterprise recommendations and direction. Integration & Data Strategy Define data migration strategies, ensuring seamless transition from legacy CRM or policy systems. Implement secure and compliant API integrations with core insurance platforms, banking systems, and external services. Work closely with enterprise data architects to ensure data consistency, reporting accuracy, and regulatory compliance. Security & Compliance Ensure solutions comply with insurance industry regulations (e.g., GDPR, HIPAA, FINRA, KYC, AML). Implement role-based security, encryption, and access controls to protect sensitive client and policyholder data. Work with compliance teams to align Salesforce capabilities with industry security requirements. Required Qualifications: Bachelor's Degree in computer science, engineering or technical designation 10+ years of experience in Salesforce architecture and development. Experience implementing Salesforce Financial Services Cloud (FSC). Strong knowledge of insurance processes, such as: policy management, claims processing, underwriting, and customer engagement. Expertise in Apex, Lightning Web Components (LWC), REST/SOAP APIs, and Event-Driven Architecture. Experience integrating Salesforce with policy administration systems, financial platforms, and document management solutions. Strong understanding of Salesforce security, compliance, and governance best practices. Experience with DevOps and CI/CD tools for Salesforce (e.g., Gearset, Copado, Jenkins). Preferred Qualifications: Experience working with OmniStudio, Einstein AI, and Marketing Cloud for customer engagement. Knowledge of insurance regulatory frameworks and how they impact CRM design. Familiarity with Mulesoft and other/home-grown middleware for API integration. Strong background in data modeling and master data management (MDM) for financial services. Salesforce certifications, such as: Salesforce Certified Application Architect Salesforce Certified System Architect Salesforce Certified Financial Services Cloud Accredited Professional (preferred) Salesforce Certified Technical Architect (CTA) (a plus) MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
Job Responsibilities Collaborate with business stakeholders, Product Teams, IT, vendors, and implementation partners to deliver enterprise technology solutions. Facilitate discovery sessions, workshops, and stakeholder meetings to gather business objectives and requirements. Perform business analysis including current-state assessments, future-state design, gap analysis, process optimization, and workflow documentation. Translate business needs into Business Requirements Documents (BRDs), Functional Requirements Documents (FRDs), user stories, acceptance criteria, process flows, data mappings, and integration specifications. Manage and refine product backlogs in JIRA, ensuring traceability and alignment with business priorities. Coordinate product delivery by managing priorities, dependencies, risks, milestones, and cross-functional workstreams. Support development teams throughout the SDLC by clarifying requirements, validating solutions, and ensuring business readiness. Analyze enterprise system integrations involving REST APIs, SOAP web services, SFTP, middleware, and batch interfaces. Partner with architects and engineers to support scalable application design, integrations, and security alignment. Create process flows, system diagrams, and solution documentation using Visio, Miro, or Lucidchart. Participate in Agile ceremonies including backlog refinement, sprint planning, demos, retrospectives, and release planning. Coordinate SIT and UAT activities, including test planning, test case development, defect management, and business acceptance. Perform SQL-based data analysis, validation, troubleshooting, and root cause analysis. Coordinate with vendors by tracking deliverables, reviewing documentation, and managing action items. Prepare project documentation, executive summaries, status reports, meeting materials, and decision logs. Identify project risks, dependencies, blockers, and recommend process improvements. Job Requirements Business Analysis Strong experience in Business Analysis, Technical Business Analysis, Product Analysis, or Product Delivery. Experience creating Business Requirements Documents (BRDs), Functional Requirements Documents (FRDs), user stories, acceptance criteria, current/future state process flows, data mapping documentation, and integration requirements. Agile & SDLC Strong understanding of the Software Development Life Cycle (SDLC). Experience working in Agile environments. Hands-on experience with JIRA, Azure DevOps Boards, and Confluence. Technical & Integration Experience analyzing enterprise integrations including REST APIs, SOAP web services, SFTP, middleware integrations, and batch interfaces. Data & Database SQL for data analysis and validation. Oracle database knowledge. Understanding of ETL concepts and data migration. Experience with root cause analysis and troubleshooting. Security Understanding of Microsoft Entra ID (Azure AD), SAML Single Sign-On (SSO), Identity and Access Management (IAM), and role-based security. Documentation & Communication Strong documentation, analytical, presentation, and stakeholder communication skills. Ability to collaborate effectively with business users, technical teams, vendors, and leadership. Qualifications Required Experience as a Business Analyst, Technical Business Analyst, Product Analyst, or Product Delivery Consultant. Strong experience gathering and documenting business and functional requirements. Experience supporting Agile software development and enterprise application implementations. Proficiency with JIRA, Azure DevOps, and Confluence. Experience with SQL, Oracle databases, and data validation. Knowledge of enterprise integrations, APIs, and data migration concepts. Excellent analytical, problem-solving, communication, and organizational skills. Preferred Microsoft Power Platform (Power Apps), SharePoint, .NET/C#, and Azure Services. Enterprise Content Management platforms (OpenText eDOCS, DocuWare). Experience with Risk, Claims, Legal, Compliance, or Safety systems. Origami Risk, TPA integrations, and Workers Compensation processes. Salesforce and ServiceNow. Power BI and Tableau. Mainframe modernization and COBOL applications. DevOps concepts and tools including Git, Jenkins, Azure DevOps Pipelines, and CI/CD.
08/04/2026
Full time
Job Responsibilities Collaborate with business stakeholders, Product Teams, IT, vendors, and implementation partners to deliver enterprise technology solutions. Facilitate discovery sessions, workshops, and stakeholder meetings to gather business objectives and requirements. Perform business analysis including current-state assessments, future-state design, gap analysis, process optimization, and workflow documentation. Translate business needs into Business Requirements Documents (BRDs), Functional Requirements Documents (FRDs), user stories, acceptance criteria, process flows, data mappings, and integration specifications. Manage and refine product backlogs in JIRA, ensuring traceability and alignment with business priorities. Coordinate product delivery by managing priorities, dependencies, risks, milestones, and cross-functional workstreams. Support development teams throughout the SDLC by clarifying requirements, validating solutions, and ensuring business readiness. Analyze enterprise system integrations involving REST APIs, SOAP web services, SFTP, middleware, and batch interfaces. Partner with architects and engineers to support scalable application design, integrations, and security alignment. Create process flows, system diagrams, and solution documentation using Visio, Miro, or Lucidchart. Participate in Agile ceremonies including backlog refinement, sprint planning, demos, retrospectives, and release planning. Coordinate SIT and UAT activities, including test planning, test case development, defect management, and business acceptance. Perform SQL-based data analysis, validation, troubleshooting, and root cause analysis. Coordinate with vendors by tracking deliverables, reviewing documentation, and managing action items. Prepare project documentation, executive summaries, status reports, meeting materials, and decision logs. Identify project risks, dependencies, blockers, and recommend process improvements. Job Requirements Business Analysis Strong experience in Business Analysis, Technical Business Analysis, Product Analysis, or Product Delivery. Experience creating Business Requirements Documents (BRDs), Functional Requirements Documents (FRDs), user stories, acceptance criteria, current/future state process flows, data mapping documentation, and integration requirements. Agile & SDLC Strong understanding of the Software Development Life Cycle (SDLC). Experience working in Agile environments. Hands-on experience with JIRA, Azure DevOps Boards, and Confluence. Technical & Integration Experience analyzing enterprise integrations including REST APIs, SOAP web services, SFTP, middleware integrations, and batch interfaces. Data & Database SQL for data analysis and validation. Oracle database knowledge. Understanding of ETL concepts and data migration. Experience with root cause analysis and troubleshooting. Security Understanding of Microsoft Entra ID (Azure AD), SAML Single Sign-On (SSO), Identity and Access Management (IAM), and role-based security. Documentation & Communication Strong documentation, analytical, presentation, and stakeholder communication skills. Ability to collaborate effectively with business users, technical teams, vendors, and leadership. Qualifications Required Experience as a Business Analyst, Technical Business Analyst, Product Analyst, or Product Delivery Consultant. Strong experience gathering and documenting business and functional requirements. Experience supporting Agile software development and enterprise application implementations. Proficiency with JIRA, Azure DevOps, and Confluence. Experience with SQL, Oracle databases, and data validation. Knowledge of enterprise integrations, APIs, and data migration concepts. Excellent analytical, problem-solving, communication, and organizational skills. Preferred Microsoft Power Platform (Power Apps), SharePoint, .NET/C#, and Azure Services. Enterprise Content Management platforms (OpenText eDOCS, DocuWare). Experience with Risk, Claims, Legal, Compliance, or Safety systems. Origami Risk, TPA integrations, and Workers Compensation processes. Salesforce and ServiceNow. Power BI and Tableau. Mainframe modernization and COBOL applications. DevOps concepts and tools including Git, Jenkins, Azure DevOps Pipelines, and CI/CD.
We are seeking a Salesforce QA Automation Engineer to support DES IT modernization projects. In this role, you will lead quality assurance and test automation efforts to modernize legacy state infrastructure into scalable, cloud-based Salesforce solutions (Sales Cloud, Service Cloud, Experience Cloud, and custom Public Sector Solutions). You will build scalable test automation frameworks, validate complex integrations across legacy state systems, and ensure high reliability, security, and compliance with state and federal standards.
08/04/2026
Full time
We are seeking a Salesforce QA Automation Engineer to support DES IT modernization projects. In this role, you will lead quality assurance and test automation efforts to modernize legacy state infrastructure into scalable, cloud-based Salesforce solutions (Sales Cloud, Service Cloud, Experience Cloud, and custom Public Sector Solutions). You will build scalable test automation frameworks, validate complex integrations across legacy state systems, and ensure high reliability, security, and compliance with state and federal standards.
Job Overview: Pay Range $45.96hr - $50.96hr Requirement/Must Have: 1+ years of experience in data analysis, statistical modeling, and ML development using Python (pandas, numpy, scikit-learn, scipy, curve fitting, object-oriented programming). Ability to build multi-scenario models to test assumptions and evaluate alternative planning outcomes. Foundational to intermediate experience with ML frameworks and methodologies (scikit-learn, XGBoost, or similar). Understanding of model validation metrics (R , MAE, RMSE, cross-validation, custom scoring functions). Proficiency in SQL for querying, joining tables, data manipulation, and interpreting complex queries. Understanding of statistical modeling, hypothesis testing, and experimental design. Ability to independently explore enterprise datasets and identify patterns, gaps, and opportunities. Experience handling messy data, identifying inconsistencies, and standardizing formats across heterogeneous systems. Experience merging multiple datasets from various enterprise data sources (SAP, Salesforce, Databricks, ERP/CRM). Sharp eye for finding outliers, errors, and unusual patterns in structured and unstructured data. Understanding of data modeling concepts across heterogeneous systems. Experience developing models for scenario modeling and predictive use cases. Familiarity with Large Language Models (LLMs) and basic prompt engineering techniques for practical business applications. Ability to review existing dashboards, ML models, and reports to understand design patterns, business requirements, and underlying data sources. Strong capability to read and interpret complex SQL queries to understand data flows and business logic. Skills to trace data lineage, review prepared data sources, and comprehend underlying data structures. Experience working with Data Engineers to ensure data requirements are correctly implemented at pipeline and infrastructure level. Responsibilities: Analyze quality data from multiple enterprise systems (SAP, Salesforce, Databricks, Power BI, labor systems, finance data) to identify patterns, gaps, and opportunities for data-driven improvements. Work with Program Managers and/or Operations leaders to define which data assets are relevant for business use cases and specify how data from different systems should be accessed, interpreted, and used. Transform structured/unstructured datasets (often 100k+ rows) into actionable insights. Conduct data quality checks and identify/resolve data defects and abnormalities across enterprise platforms. Develop and validate Machine Learning models that support demand forecasting, scenario modeling, and predictive use cases for short-term and long-term business goals. Document analytical findings, model performance, and data definitions clearly to ensure transparency and reproducibility across the team. Experience working with Data Engineers to ensure data requirements are correctly implemented; ability to build and maintain Python-based data pipelines for ETL, model training, and automated forecasting workflows. Translate business technical data challenges into concrete data science and AI/ML problem statements, acting as the domain-aware bridge between Engineering/Operations and the Digital team. Leverage Large Language Models (LLMs) and prompt engineering to build intelligent tools that augment human decision-making and automate workflows. Design and execute scenario planning models to test business assumptions (demand forecasts, resource capacity, cost projections) and evaluate 'what-if' outcomes for strategic decision-making. Track project execution data across P6 (Primavera) and other project management systems, linking planning assumptions to actual execution performance. Support variance analysis between planned assumptions (forecast hours, budgets, timelines) and actual project execution data to identify gaps, root causes, and trends. Build automated tracking solutions that monitor assumption validity as projects progress through lifecycle stages (planning design execution closeout). Collaborate with Program Managers to refine planning assumptions based on execution learnings and historical pattern analysis. Provide data pipeline and data to build executive dashboards that visualize assumption-to-execution alignment, highlighting projects at risk due to assumption breakdown. Review and analyze existing dashboards, models, and data pipelines to understand design patterns, business requirements, and data flows. Read and interpret SQL queries, business logic, and semantic models embedded in current reports and analytical systems. Understand underlying data structures and prepared data sources to support maintenance and enhancement. Identify opportunities to optimize or consolidate existing reporting and modeling assets. Maintain consistency with established data standards and best practices. Translate complex data findings and model outputs into clear, actionable business insights for both technical and non-technical audiences. Resolve customer and internal user queries related to model outputs, data insights, or data defects. Support the Operations team in delivering centralized data analysis-based reporting solutions (including KPI), providing harmonized insights and KPIs to business stakeholders across global business lines. Collaborate closely with cross-functional Data analysts and Data engineers to ensure data requirements are correctly understood and implemented at pipeline and infrastructure level. Build and maintain a deep understanding of Semantic Data Models to ensure consistent data interpretation across applications and business systems. Stay current with the latest advancements in AI, ML, and data science, proactively proposing new approaches that could enhance our solutions. Contribute to the evolution of Engineering Data Quality, bringing innovative ideas and a forward-thinking mindset to continuously improve our modeling and tooling landscape. Nice to Have: Experience with TensorFlow, PyTorch, neural networks, or deep learning applications. Experience with pytest or similar frameworks for data science code quality. Experience with P6 (Primavera), MS Project, or similar project execution systems. Model versioning, experiment tracking (MLflow, Weights & Biases), deployment basics. Familiarity with Azure, AWS, or GCP for data science workflows. Experience with fine-tuning, RAG (Retrieval-Augmented Generation), or agent frameworks. Understanding of data governance principles and responsible AI practices. First-hand experience with SAP, Salesforce, Databricks, or similar ERP/CRM systems from a data consumption perspective. Skills: Strong verbal and written communication skills. Excellent communication and presentation skills. Ability to communicate effectively with stakeholders. Analytical thinking with strong problem-solving abilities. Technical curiosity and willingness to learn new tools and techniques. Collaborative mindset and ability to work in dynamic environments. Self-motivated with a strong sense of accountability. Proactive communication style. Benefits Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
08/04/2026
Full time
Job Overview: Pay Range $45.96hr - $50.96hr Requirement/Must Have: 1+ years of experience in data analysis, statistical modeling, and ML development using Python (pandas, numpy, scikit-learn, scipy, curve fitting, object-oriented programming). Ability to build multi-scenario models to test assumptions and evaluate alternative planning outcomes. Foundational to intermediate experience with ML frameworks and methodologies (scikit-learn, XGBoost, or similar). Understanding of model validation metrics (R , MAE, RMSE, cross-validation, custom scoring functions). Proficiency in SQL for querying, joining tables, data manipulation, and interpreting complex queries. Understanding of statistical modeling, hypothesis testing, and experimental design. Ability to independently explore enterprise datasets and identify patterns, gaps, and opportunities. Experience handling messy data, identifying inconsistencies, and standardizing formats across heterogeneous systems. Experience merging multiple datasets from various enterprise data sources (SAP, Salesforce, Databricks, ERP/CRM). Sharp eye for finding outliers, errors, and unusual patterns in structured and unstructured data. Understanding of data modeling concepts across heterogeneous systems. Experience developing models for scenario modeling and predictive use cases. Familiarity with Large Language Models (LLMs) and basic prompt engineering techniques for practical business applications. Ability to review existing dashboards, ML models, and reports to understand design patterns, business requirements, and underlying data sources. Strong capability to read and interpret complex SQL queries to understand data flows and business logic. Skills to trace data lineage, review prepared data sources, and comprehend underlying data structures. Experience working with Data Engineers to ensure data requirements are correctly implemented at pipeline and infrastructure level. Responsibilities: Analyze quality data from multiple enterprise systems (SAP, Salesforce, Databricks, Power BI, labor systems, finance data) to identify patterns, gaps, and opportunities for data-driven improvements. Work with Program Managers and/or Operations leaders to define which data assets are relevant for business use cases and specify how data from different systems should be accessed, interpreted, and used. Transform structured/unstructured datasets (often 100k+ rows) into actionable insights. Conduct data quality checks and identify/resolve data defects and abnormalities across enterprise platforms. Develop and validate Machine Learning models that support demand forecasting, scenario modeling, and predictive use cases for short-term and long-term business goals. Document analytical findings, model performance, and data definitions clearly to ensure transparency and reproducibility across the team. Experience working with Data Engineers to ensure data requirements are correctly implemented; ability to build and maintain Python-based data pipelines for ETL, model training, and automated forecasting workflows. Translate business technical data challenges into concrete data science and AI/ML problem statements, acting as the domain-aware bridge between Engineering/Operations and the Digital team. Leverage Large Language Models (LLMs) and prompt engineering to build intelligent tools that augment human decision-making and automate workflows. Design and execute scenario planning models to test business assumptions (demand forecasts, resource capacity, cost projections) and evaluate 'what-if' outcomes for strategic decision-making. Track project execution data across P6 (Primavera) and other project management systems, linking planning assumptions to actual execution performance. Support variance analysis between planned assumptions (forecast hours, budgets, timelines) and actual project execution data to identify gaps, root causes, and trends. Build automated tracking solutions that monitor assumption validity as projects progress through lifecycle stages (planning design execution closeout). Collaborate with Program Managers to refine planning assumptions based on execution learnings and historical pattern analysis. Provide data pipeline and data to build executive dashboards that visualize assumption-to-execution alignment, highlighting projects at risk due to assumption breakdown. Review and analyze existing dashboards, models, and data pipelines to understand design patterns, business requirements, and data flows. Read and interpret SQL queries, business logic, and semantic models embedded in current reports and analytical systems. Understand underlying data structures and prepared data sources to support maintenance and enhancement. Identify opportunities to optimize or consolidate existing reporting and modeling assets. Maintain consistency with established data standards and best practices. Translate complex data findings and model outputs into clear, actionable business insights for both technical and non-technical audiences. Resolve customer and internal user queries related to model outputs, data insights, or data defects. Support the Operations team in delivering centralized data analysis-based reporting solutions (including KPI), providing harmonized insights and KPIs to business stakeholders across global business lines. Collaborate closely with cross-functional Data analysts and Data engineers to ensure data requirements are correctly understood and implemented at pipeline and infrastructure level. Build and maintain a deep understanding of Semantic Data Models to ensure consistent data interpretation across applications and business systems. Stay current with the latest advancements in AI, ML, and data science, proactively proposing new approaches that could enhance our solutions. Contribute to the evolution of Engineering Data Quality, bringing innovative ideas and a forward-thinking mindset to continuously improve our modeling and tooling landscape. Nice to Have: Experience with TensorFlow, PyTorch, neural networks, or deep learning applications. Experience with pytest or similar frameworks for data science code quality. Experience with P6 (Primavera), MS Project, or similar project execution systems. Model versioning, experiment tracking (MLflow, Weights & Biases), deployment basics. Familiarity with Azure, AWS, or GCP for data science workflows. Experience with fine-tuning, RAG (Retrieval-Augmented Generation), or agent frameworks. Understanding of data governance principles and responsible AI practices. First-hand experience with SAP, Salesforce, Databricks, or similar ERP/CRM systems from a data consumption perspective. Skills: Strong verbal and written communication skills. Excellent communication and presentation skills. Ability to communicate effectively with stakeholders. Analytical thinking with strong problem-solving abilities. Technical curiosity and willingness to learn new tools and techniques. Collaborative mindset and ability to work in dynamic environments. Self-motivated with a strong sense of accountability. Proactive communication style. Benefits Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
Senior Developer, Salesforce We are Lennar Lennar is one of the nation's leading homebuilders, dedicated to making an impact and creating an extraordinary experience for their Homeowners, Communities, and Associates by building quality homes and providing exceptional customer service, giving back to the communities in which we work and live in, and fostering a culture of opportunity and growth for our Associates throughout their career. Lennar has been recognized as a Fortune 500 company and consistently ranked among the top homebuilders in the United States. Join a Company that Empowers you to Build your Future The Senior Developer will be responsible for the overall analysis, architecture, design, implementation, and support of technology solutions within Lennar Corporation. As a member of the Salesforce Engineering team, the Senior Developer will be responsible for ensuring that the system accurately meets the defined expectations of the business, ensuring that proper functional and performance testing completed, and security requirements are considered by working with the project teams. The Senior Developer also must be able to identify and confirm technical design risks and develop mitigating approaches. The Senior Developer will mentor junior developers and provide guidance. The Senior Developer will collaborate closely with the Product Owners/Architects to design and implement solutions based upon customer requirements. May participate in Sprint Demos and provide Tier 3 support. A career with purpose. A career built on making dreams come true. A career built on building zero defect homes, cost management, and adherence to schedules. Your Responsibilities on the Team Capture, Design, and Implement Salesforce platform solutions using best practices through custom development Senior technical design sessions, document technical solutions aligned with client business objectives; identify gaps between client's current and desired end states Demonstrated ability to meet deadlines, handle and prioritize simultaneous requests Provide technical assistance and end user troubleshooting for bug fixes, enhancements, and "how-to" assistance Proactively engage in continuous improvement efforts on application design, support, and practice development efforts to improve current business processes Executes unit, performance, and user acceptance tests to solutions to meet quality standards Develop test strategies, design automation frameworks, write unit/functional tests to drive up code coverage and automation metrics Communicating risks to engineering staff through training and technical demonstration of vulnerabilities and secure design patterns Works with engineers and developers on solutions and integrations, provides hands-on expert level assistance on technical issues Ability to design and implement solutions on the Salesforce platform with industry best practices Ability to present to peers and senior management with clarity Independently solves technical problems in assigned area Requirements Minimum 6+ year's salesforce development experience Bachelor's Degree or Certified SF Admin/Platform Developer I certification required Certified Platform Developer II preferred Understanding of the Salesforce product suite, including Sales, Service, Marketing, and Experience Clouds Strong knowledge of Salesforce platform best practices, security model, coding, design guidelines and governor limit Understanding of systems architecture and ability to craft scalable solutions Strong knowledge on Apex, Visualforce, and Lightning Aura / LWC components Strong Experience with Declarative tools and detailed knowledge of Flows, object configuration, validation rules, and app builder Experience with Microsoft Visual Studio Code, Salesforce Lightning Design System, and the Salesforce Development Lifecycle Previous experience working in a SCRUM or agile environment preferred. Proficient in SOQL, SOSL, SQL, HTML, CSS, JavaScript Working experience in CICD, Git commands, GitHub source, Azure preferred Prior experience with other technologies like Java/.NET, Python, Node.js, React, Azure, AWS, NoSQL DBs is highly preferred Strong analytical, critical thinking, and troubleshooting skills Strong verbal and written communication skills Additional Skills: Diligent; acts promptly Interactive; maintains effective working relationships, supporting company leadership and team Readily embraces change Maintains a supportive and collaborative teamwork environment; encourages teamwork in others Engages with others and works with integrity and ethically; upholds organizational values Sensitive and responsive to internal and external needs; maintains a positive attitude, willing to seek solutions Demonstrates operational awareness in problem solving Understands the company's philosophy on diversity in the workplace Self-motivated with the ability to work independently as well as part of a team Trains junior associates on defined procedures and standards Must be flexible and readily adapt to changing priorities/tasks Ability to work under pressure, maintains composure and professionalism in a stressful situation Demonstrates an understanding of the links between business drivers and IT processes Begins to learn the market and major competitors Life at Lennar At Lennar, we are committed to fostering a supportive and enriching environment for our Associates, offering a comprehensive array of benefits designed to enhance their well-being and professional growth. Our Associates have access to robust health insurance plans, including Medical, Dental, and Vision coverage, ensuring their health needs are well taken care of. Our 401(k) Retirement Plan, complete with a $1 for $1 Company Match up to 5%, helps secure their financial future, while Paid Parental Leave and an Associate Assistance Plan provide essential support during life's critical moments. To further support our Associates, we provide an Education Assistance Program and up to $30,000 in Adoption Assistance, underscoring our commitment to their diverse needs and aspirations. From the moment of hire, they can enjoy up to three weeks of vacation annually, alongside generous Holiday, Sick Leave, and Personal Day policies. Additionally, we offer a New Hire Referral Bonus Program, significant Home Purchase Discounts, and unique opportunities such as the Everyone's Included Day. At Lennar, we believe in investing in our Associates, empowering them to thrive both personally and professionally. Lennar Associates will have access to these benefits as outlined by Lennar's policies and applicable plan terms. Visit to view our suite of benefits. Join the fun and follow us on social media to see what's happening at our company, and don't forget to connect with us on Lennar: Overview LinkedIn for the latest job opportunities. Lennar is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws.
08/04/2026
Full time
Senior Developer, Salesforce We are Lennar Lennar is one of the nation's leading homebuilders, dedicated to making an impact and creating an extraordinary experience for their Homeowners, Communities, and Associates by building quality homes and providing exceptional customer service, giving back to the communities in which we work and live in, and fostering a culture of opportunity and growth for our Associates throughout their career. Lennar has been recognized as a Fortune 500 company and consistently ranked among the top homebuilders in the United States. Join a Company that Empowers you to Build your Future The Senior Developer will be responsible for the overall analysis, architecture, design, implementation, and support of technology solutions within Lennar Corporation. As a member of the Salesforce Engineering team, the Senior Developer will be responsible for ensuring that the system accurately meets the defined expectations of the business, ensuring that proper functional and performance testing completed, and security requirements are considered by working with the project teams. The Senior Developer also must be able to identify and confirm technical design risks and develop mitigating approaches. The Senior Developer will mentor junior developers and provide guidance. The Senior Developer will collaborate closely with the Product Owners/Architects to design and implement solutions based upon customer requirements. May participate in Sprint Demos and provide Tier 3 support. A career with purpose. A career built on making dreams come true. A career built on building zero defect homes, cost management, and adherence to schedules. Your Responsibilities on the Team Capture, Design, and Implement Salesforce platform solutions using best practices through custom development Senior technical design sessions, document technical solutions aligned with client business objectives; identify gaps between client's current and desired end states Demonstrated ability to meet deadlines, handle and prioritize simultaneous requests Provide technical assistance and end user troubleshooting for bug fixes, enhancements, and "how-to" assistance Proactively engage in continuous improvement efforts on application design, support, and practice development efforts to improve current business processes Executes unit, performance, and user acceptance tests to solutions to meet quality standards Develop test strategies, design automation frameworks, write unit/functional tests to drive up code coverage and automation metrics Communicating risks to engineering staff through training and technical demonstration of vulnerabilities and secure design patterns Works with engineers and developers on solutions and integrations, provides hands-on expert level assistance on technical issues Ability to design and implement solutions on the Salesforce platform with industry best practices Ability to present to peers and senior management with clarity Independently solves technical problems in assigned area Requirements Minimum 6+ year's salesforce development experience Bachelor's Degree or Certified SF Admin/Platform Developer I certification required Certified Platform Developer II preferred Understanding of the Salesforce product suite, including Sales, Service, Marketing, and Experience Clouds Strong knowledge of Salesforce platform best practices, security model, coding, design guidelines and governor limit Understanding of systems architecture and ability to craft scalable solutions Strong knowledge on Apex, Visualforce, and Lightning Aura / LWC components Strong Experience with Declarative tools and detailed knowledge of Flows, object configuration, validation rules, and app builder Experience with Microsoft Visual Studio Code, Salesforce Lightning Design System, and the Salesforce Development Lifecycle Previous experience working in a SCRUM or agile environment preferred. Proficient in SOQL, SOSL, SQL, HTML, CSS, JavaScript Working experience in CICD, Git commands, GitHub source, Azure preferred Prior experience with other technologies like Java/.NET, Python, Node.js, React, Azure, AWS, NoSQL DBs is highly preferred Strong analytical, critical thinking, and troubleshooting skills Strong verbal and written communication skills Additional Skills: Diligent; acts promptly Interactive; maintains effective working relationships, supporting company leadership and team Readily embraces change Maintains a supportive and collaborative teamwork environment; encourages teamwork in others Engages with others and works with integrity and ethically; upholds organizational values Sensitive and responsive to internal and external needs; maintains a positive attitude, willing to seek solutions Demonstrates operational awareness in problem solving Understands the company's philosophy on diversity in the workplace Self-motivated with the ability to work independently as well as part of a team Trains junior associates on defined procedures and standards Must be flexible and readily adapt to changing priorities/tasks Ability to work under pressure, maintains composure and professionalism in a stressful situation Demonstrates an understanding of the links between business drivers and IT processes Begins to learn the market and major competitors Life at Lennar At Lennar, we are committed to fostering a supportive and enriching environment for our Associates, offering a comprehensive array of benefits designed to enhance their well-being and professional growth. Our Associates have access to robust health insurance plans, including Medical, Dental, and Vision coverage, ensuring their health needs are well taken care of. Our 401(k) Retirement Plan, complete with a $1 for $1 Company Match up to 5%, helps secure their financial future, while Paid Parental Leave and an Associate Assistance Plan provide essential support during life's critical moments. To further support our Associates, we provide an Education Assistance Program and up to $30,000 in Adoption Assistance, underscoring our commitment to their diverse needs and aspirations. From the moment of hire, they can enjoy up to three weeks of vacation annually, alongside generous Holiday, Sick Leave, and Personal Day policies. Additionally, we offer a New Hire Referral Bonus Program, significant Home Purchase Discounts, and unique opportunities such as the Everyone's Included Day. At Lennar, we believe in investing in our Associates, empowering them to thrive both personally and professionally. Lennar Associates will have access to these benefits as outlined by Lennar's policies and applicable plan terms. Visit to view our suite of benefits. Join the fun and follow us on social media to see what's happening at our company, and don't forget to connect with us on Lennar: Overview LinkedIn for the latest job opportunities. Lennar is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws.
Role Summary We're seeking a Technology Project Manager to lead delivery of cloud-native patient engagement and digital health platforms within a highly regulated life sciences environment. This person will own release orchestration for cloud infrastructure deployments - including Salesforce Health Cloud ecosystems - and drive organizational change management across clinical, commercial, and technical stakeholder groups. Success in the first 90 days looks like an established release cadence, a completed operational readiness assessment, and trusted working relationships across engineering, clinical operations, data security, and executive stakeholders. Key Responsibilities Orchestrate full lifecycle deployments of patient engagement and digital health platforms built on cloud infrastructure. Manage the release calendar, coordinate deployments across development, testing, and production environments, and mitigate environment drift. Ensure all cloud solutions adhere to life sciences SDLC guidelines, Agile principles, and healthcare compliance frameworks (HIPAA, GDPR). Conduct operational readiness assessments to map user and business impact ahead of feature rollouts and system migrations. Build transition plans - including sponsor and people-manager alignment - to move clinical and commercial teams from legacy platforms to cloud environments. Design and execute feedback loops to identify and mitigate system-adoption resistance. Serve as primary liaison between business heads, global commercial operations, and technical development teams; lead portfolio reviews and governance committees. Gather stakeholder requirements and translate them into structured user stories, technical definitions, and agile work plans. Required Qualifications Bachelor's degree in Computer Science, Health Informatics, Business Administration, or a related field. 5-7 years managing complex, cross-functional IT environments, including hands-on experience with Salesforce Health Cloud or comparable enterprise digital health platforms. Demonstrated experience executing release strategies through formal SDLC processes, DevOps pipelines, and Agile/Scrum methodologies. Practical experience applying structured change management frameworks (e.g., Prosci ADKAR) to technology adoption initiatives. Strong ability to translate complex technical milestones into clear, executive-ready impact summaries. Tech Stack Salesforce Health Cloud SDLC Agile Scrum DevOps ServiceNow Jira Confluence Prosci ADKAR HIPAA GDPR Release Management PMP PMI-ACP CSM Preferred Qualifications Change Management certification (Prosci) or Project Management certification (PMP, PMI-ACP, or CSM). Prior experience in highly regulated biopharmaceutical, clinical trial, or rare disease environments. Proficiency with modern agile project management tools such as ServiceNow, Jira, or Confluence.
08/04/2026
Full time
Role Summary We're seeking a Technology Project Manager to lead delivery of cloud-native patient engagement and digital health platforms within a highly regulated life sciences environment. This person will own release orchestration for cloud infrastructure deployments - including Salesforce Health Cloud ecosystems - and drive organizational change management across clinical, commercial, and technical stakeholder groups. Success in the first 90 days looks like an established release cadence, a completed operational readiness assessment, and trusted working relationships across engineering, clinical operations, data security, and executive stakeholders. Key Responsibilities Orchestrate full lifecycle deployments of patient engagement and digital health platforms built on cloud infrastructure. Manage the release calendar, coordinate deployments across development, testing, and production environments, and mitigate environment drift. Ensure all cloud solutions adhere to life sciences SDLC guidelines, Agile principles, and healthcare compliance frameworks (HIPAA, GDPR). Conduct operational readiness assessments to map user and business impact ahead of feature rollouts and system migrations. Build transition plans - including sponsor and people-manager alignment - to move clinical and commercial teams from legacy platforms to cloud environments. Design and execute feedback loops to identify and mitigate system-adoption resistance. Serve as primary liaison between business heads, global commercial operations, and technical development teams; lead portfolio reviews and governance committees. Gather stakeholder requirements and translate them into structured user stories, technical definitions, and agile work plans. Required Qualifications Bachelor's degree in Computer Science, Health Informatics, Business Administration, or a related field. 5-7 years managing complex, cross-functional IT environments, including hands-on experience with Salesforce Health Cloud or comparable enterprise digital health platforms. Demonstrated experience executing release strategies through formal SDLC processes, DevOps pipelines, and Agile/Scrum methodologies. Practical experience applying structured change management frameworks (e.g., Prosci ADKAR) to technology adoption initiatives. Strong ability to translate complex technical milestones into clear, executive-ready impact summaries. Tech Stack Salesforce Health Cloud SDLC Agile Scrum DevOps ServiceNow Jira Confluence Prosci ADKAR HIPAA GDPR Release Management PMP PMI-ACP CSM Preferred Qualifications Change Management certification (Prosci) or Project Management certification (PMP, PMI-ACP, or CSM). Prior experience in highly regulated biopharmaceutical, clinical trial, or rare disease environments. Proficiency with modern agile project management tools such as ServiceNow, Jira, or Confluence.
We are seeking a Senior Service & Process Designer for a Hybrid position with our Sacramento, California client who will be responsible for leading business process reengineering, service design, and customer experience transformation initiatives that support large-scale digital modernization programs. This role collaborates with business stakeholders, product teams, technical architects, and implementation teams to redesign business processes, optimize service delivery, and develop customer-centered solutions that improve operational efficiency and user experience. The Senior Service & Process Designer applies Human-Centered Design (HCD), Business Process Reengineering (BPR), and process modeling methodologies to support incremental modernization and digital transformation initiatives. Key Responsibilities Lead Business Process Reengineering (BPR) initiatives to improve business operations and customer service delivery. Analyze current-state business processes and design future-state workflows supporting digital transformation. Develop customer journeys, service blueprints, process maps, and operational workflows using Human-Centered Design (HCD) principles. Identify opportunities to decompose complex business processes into incremental releases. Facilitate stakeholder workshops, interviews, and collaborative design sessions. Create business process documentation, workflow diagrams, and BPMN 2.0 process models. Collaborate with Enterprise Architects, Technical Architects, Product Managers, Developers, and Organizational Change Management teams. Support legacy modernization initiatives by redesigning business processes for cloud-based platforms and digital services. Design omnichannel customer experiences that promote digital self-service. Recommend process improvements that improve efficiency and customer outcomes. Support implementation planning, release planning, operational readiness, and continuous improvement. Ensure service designs align with organizational goals, business priorities, and user needs. Minimum Qualifications Education Bachelor's degree required. Required Experience Minimum five (5) years of full-time experience in Business Process Reengineering (BPR) or Service Design. Experience may be demonstrated using no more than three (3) projects. Minimum two (2) years of full-time experience identifying logical groupings of business transactions for incremental release planning. Experience may be demonstrated using no more than two (2) projects. Preferred Qualifications Experience leading workflow redesign for legacy modernization initiatives transitioning from Mainframe/COBOL environments to Salesforce and MuleSoft cloud platforms. Lean Six Sigma Green Belt or Black Belt certification. Demonstrated proficiency using BPMN 2.0 standards. Experience designing Self-Service First omnichannel service delivery strategies. Experience supporting large-scale government digital transformation initiatives. Experience facilitating Human-Centered Design (HCD) workshops. Knowledge of Agile, Scrum, or SAFe delivery methodologies.
08/04/2026
Full time
We are seeking a Senior Service & Process Designer for a Hybrid position with our Sacramento, California client who will be responsible for leading business process reengineering, service design, and customer experience transformation initiatives that support large-scale digital modernization programs. This role collaborates with business stakeholders, product teams, technical architects, and implementation teams to redesign business processes, optimize service delivery, and develop customer-centered solutions that improve operational efficiency and user experience. The Senior Service & Process Designer applies Human-Centered Design (HCD), Business Process Reengineering (BPR), and process modeling methodologies to support incremental modernization and digital transformation initiatives. Key Responsibilities Lead Business Process Reengineering (BPR) initiatives to improve business operations and customer service delivery. Analyze current-state business processes and design future-state workflows supporting digital transformation. Develop customer journeys, service blueprints, process maps, and operational workflows using Human-Centered Design (HCD) principles. Identify opportunities to decompose complex business processes into incremental releases. Facilitate stakeholder workshops, interviews, and collaborative design sessions. Create business process documentation, workflow diagrams, and BPMN 2.0 process models. Collaborate with Enterprise Architects, Technical Architects, Product Managers, Developers, and Organizational Change Management teams. Support legacy modernization initiatives by redesigning business processes for cloud-based platforms and digital services. Design omnichannel customer experiences that promote digital self-service. Recommend process improvements that improve efficiency and customer outcomes. Support implementation planning, release planning, operational readiness, and continuous improvement. Ensure service designs align with organizational goals, business priorities, and user needs. Minimum Qualifications Education Bachelor's degree required. Required Experience Minimum five (5) years of full-time experience in Business Process Reengineering (BPR) or Service Design. Experience may be demonstrated using no more than three (3) projects. Minimum two (2) years of full-time experience identifying logical groupings of business transactions for incremental release planning. Experience may be demonstrated using no more than two (2) projects. Preferred Qualifications Experience leading workflow redesign for legacy modernization initiatives transitioning from Mainframe/COBOL environments to Salesforce and MuleSoft cloud platforms. Lean Six Sigma Green Belt or Black Belt certification. Demonstrated proficiency using BPMN 2.0 standards. Experience designing Self-Service First omnichannel service delivery strategies. Experience supporting large-scale government digital transformation initiatives. Experience facilitating Human-Centered Design (HCD) workshops. Knowledge of Agile, Scrum, or SAFe delivery methodologies.
