Job Description Job Description Shape the future of Search. About BrightEdge BrightEdge is a leading enterprise SEO and content performance platform that helps companies understand how their digital content drives real business results. Founded in 2007, we're trusted by thousands of organizations across more than 80 countries, including brands like Microsoft and Visa. Our platform combines powerful data and AI-driven insights allowing our customers to plan, optimize, and measure campaigns based on real-time content performance. What sets BrightEdge apart are our people. With 400+ global employees across 7 offices, we foster a collaborative, curious, and supportive environment where smart ideas are encouraged and impact is visible. If you enjoy solving meaningful problems, learning new things, and working alongside talented teammates while helping shape the future of digital marketing, BrightEdge is a great place to build your career. About the Role BrightEdge is growing, and we are looking for a sharp, problem-solving Senior Analyst of Revenue Operations who knows "what good looks like" and is eager to help optimize and scale our go-to-market engine. This role is ideal for someone with a background in management consulting, strategy & operations, or business operations who wants to bring their analytical rigor, process-mapping skills, and executive communication to a high-growth SaaS organization. Reporting directly to the Director of Revenue Operations, you will have a front-row seat to revenue strategy, partnering closely with Sales Leadership and C-suite executives. As a core individual contributor, you will evaluate current operational workflows, pinpoint bottlenecks, and drive tangible improvements-with a particular focus on enhancing and redesigning our Salesforce (SFDC) ecosystem, streamlining Deal Desk governance, and establishing scalable sales processes. Over time, this role offers a clear trajectory for career growth and leadership as the RevOps function expands. How You'll Spend Your Time Executive Presentation & Stakeholder Partnership: Partner directly with Sales and Customer Success Leadership and executive stakeholders, translating complex operational data and workflow challenges into clear recommendations and actionable roadmaps. Proactively surface your findings and help drive revenue growth. Bookings & Retention Forecasting: Own bookings, upsell and renewal (CRR) forecasting end to end - rebuilding the underlying models and delivering the forecast as a standing, systematized report on a published cadence that Finance and executive leadership rely on directly. Process Discovery & Optimization: Apply a structured, consulting-style approach to audit current-state sales workflows, identify inefficiencies, and design future-state operational frameworks that improve sales velocity and consistency. Salesforce Enhancement & Redesign: Partner closely with our Salesforce administrator to drive improvements to our Service Cloud environment - defining and prioritizing changes to data architecture, automated workflows, and the reports and dashboards leadership depends on, then carrying them through to delivery and adoption. Deal Desk Workflows & Governance: Support and optimize day-to-day Deal Desk operations in tandem with the Deal Desk Manager, refining approval matrices, standardizing discount guidelines, and accelerating the quote-to-close cycle. End-to-End Project Management: Own operational projects from scoping and stakeholder alignment through implementation, documentation, and change management enablement. Month End Close: Owns the operational reporting process and documents and works with finance and compensation teams to execute month end accurately and on time. We're Excited About You If You Have 2+ years of experience in management consulting, strategy & operations, or business/revenue/sales operations, with a demonstrated track record of analyzing business processes and delivering measurable improvements. Proven ability to break down complex business problems, map operational workflows, and design pragmatic, scalable solutions. Exceptional written, verbal, and visual presentation skills; comfortable presenting findings, frameworks, and recommendations to senior leaders. Strong quantitative analysis skills across Excel/Google Sheets, Salesforce reports and dashboards, AI tools, and/or modern BI platforms - including the ability to build and maintain working forecast models for renewals, upsell and bookings. Strong Salesforce Acumen: Practical experience or strong foundational knowledge of Salesforce administration, objects, fields, and automation. Salesforce certifications or experience with SFDC redesigns are a strong plus. Project Management Rigor: Strong organizational habits with the ability to manage multiple workstreams, drive cross-functional alignment, and see initiatives through to completion. Industry Background: Prior experience in or exposure to SaaS/technology is a plus but not required for candidates with strong consulting fundamentals. Bachelor's degree is required in Business, Finance, Economics, Engineering, Information Systems, or any related field. Ability to work on-site at least 4 days a week in our Chicago, IL office. Benefits! Motivating, high-impact work that builds your career Medical, dental, and vision insurance with multiple package options 15-23 days PTO depending on tenure plus 10 paid holidays Pet insurance to keep your fur family happy and healthy Pre-tax commuter benefit plan and company contribution to help reduce parking/public transit costs No or low cost therapy and professional coaching sessions through Spring Health 4-6 weeks fully paid parental leave Quarterly office outings: Baseball games, boats, and more! Actual compensation will depend on your skills, experience, and other job-related factors. How we work BrightEdge is an equal opportunity employer and is committed to building a diverse and inclusive workplace. All qualified applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected status. If you're excited about this role but don't meet every qualification, we encourage you to apply. Imposter syndrome can hold great candidates back, and we believe potential and willingness to learn matter just as much as checking every box. We value diverse perspectives, experiences, and ways of thinking, and we're committed to building a team where everyone feels they belong and can do their best work.
09/18/2026
Full time
Job Description Job Description Shape the future of Search. About BrightEdge BrightEdge is a leading enterprise SEO and content performance platform that helps companies understand how their digital content drives real business results. Founded in 2007, we're trusted by thousands of organizations across more than 80 countries, including brands like Microsoft and Visa. Our platform combines powerful data and AI-driven insights allowing our customers to plan, optimize, and measure campaigns based on real-time content performance. What sets BrightEdge apart are our people. With 400+ global employees across 7 offices, we foster a collaborative, curious, and supportive environment where smart ideas are encouraged and impact is visible. If you enjoy solving meaningful problems, learning new things, and working alongside talented teammates while helping shape the future of digital marketing, BrightEdge is a great place to build your career. About the Role BrightEdge is growing, and we are looking for a sharp, problem-solving Senior Analyst of Revenue Operations who knows "what good looks like" and is eager to help optimize and scale our go-to-market engine. This role is ideal for someone with a background in management consulting, strategy & operations, or business operations who wants to bring their analytical rigor, process-mapping skills, and executive communication to a high-growth SaaS organization. Reporting directly to the Director of Revenue Operations, you will have a front-row seat to revenue strategy, partnering closely with Sales Leadership and C-suite executives. As a core individual contributor, you will evaluate current operational workflows, pinpoint bottlenecks, and drive tangible improvements-with a particular focus on enhancing and redesigning our Salesforce (SFDC) ecosystem, streamlining Deal Desk governance, and establishing scalable sales processes. Over time, this role offers a clear trajectory for career growth and leadership as the RevOps function expands. How You'll Spend Your Time Executive Presentation & Stakeholder Partnership: Partner directly with Sales and Customer Success Leadership and executive stakeholders, translating complex operational data and workflow challenges into clear recommendations and actionable roadmaps. Proactively surface your findings and help drive revenue growth. Bookings & Retention Forecasting: Own bookings, upsell and renewal (CRR) forecasting end to end - rebuilding the underlying models and delivering the forecast as a standing, systematized report on a published cadence that Finance and executive leadership rely on directly. Process Discovery & Optimization: Apply a structured, consulting-style approach to audit current-state sales workflows, identify inefficiencies, and design future-state operational frameworks that improve sales velocity and consistency. Salesforce Enhancement & Redesign: Partner closely with our Salesforce administrator to drive improvements to our Service Cloud environment - defining and prioritizing changes to data architecture, automated workflows, and the reports and dashboards leadership depends on, then carrying them through to delivery and adoption. Deal Desk Workflows & Governance: Support and optimize day-to-day Deal Desk operations in tandem with the Deal Desk Manager, refining approval matrices, standardizing discount guidelines, and accelerating the quote-to-close cycle. End-to-End Project Management: Own operational projects from scoping and stakeholder alignment through implementation, documentation, and change management enablement. Month End Close: Owns the operational reporting process and documents and works with finance and compensation teams to execute month end accurately and on time. We're Excited About You If You Have 2+ years of experience in management consulting, strategy & operations, or business/revenue/sales operations, with a demonstrated track record of analyzing business processes and delivering measurable improvements. Proven ability to break down complex business problems, map operational workflows, and design pragmatic, scalable solutions. Exceptional written, verbal, and visual presentation skills; comfortable presenting findings, frameworks, and recommendations to senior leaders. Strong quantitative analysis skills across Excel/Google Sheets, Salesforce reports and dashboards, AI tools, and/or modern BI platforms - including the ability to build and maintain working forecast models for renewals, upsell and bookings. Strong Salesforce Acumen: Practical experience or strong foundational knowledge of Salesforce administration, objects, fields, and automation. Salesforce certifications or experience with SFDC redesigns are a strong plus. Project Management Rigor: Strong organizational habits with the ability to manage multiple workstreams, drive cross-functional alignment, and see initiatives through to completion. Industry Background: Prior experience in or exposure to SaaS/technology is a plus but not required for candidates with strong consulting fundamentals. Bachelor's degree is required in Business, Finance, Economics, Engineering, Information Systems, or any related field. Ability to work on-site at least 4 days a week in our Chicago, IL office. Benefits! Motivating, high-impact work that builds your career Medical, dental, and vision insurance with multiple package options 15-23 days PTO depending on tenure plus 10 paid holidays Pet insurance to keep your fur family happy and healthy Pre-tax commuter benefit plan and company contribution to help reduce parking/public transit costs No or low cost therapy and professional coaching sessions through Spring Health 4-6 weeks fully paid parental leave Quarterly office outings: Baseball games, boats, and more! Actual compensation will depend on your skills, experience, and other job-related factors. How we work BrightEdge is an equal opportunity employer and is committed to building a diverse and inclusive workplace. All qualified applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected status. If you're excited about this role but don't meet every qualification, we encourage you to apply. Imposter syndrome can hold great candidates back, and we believe potential and willingness to learn matter just as much as checking every box. We value diverse perspectives, experiences, and ways of thinking, and we're committed to building a team where everyone feels they belong and can do their best work.
Job Description Job Description Our mission is to create the Experience of a Lifetime for our employees, so they can, in turn, create the Experience of a Lifetime for our guests. We own and operate the most renowned destination resorts in the world as well as regional and local ski areas outside major cities, and connect them all through one unrivaled network. We are looking for ambitious leaders, innovators and creators to join our talented team. If you're ready to pursue your fullest potential, we want to get to know you! Candidates for year-round positions are reviewed on a rolling basis. Applications will be accepted up to 90 days after the posting date, or until the position is filled (whichever is first). Job Summary: We are looking for a curious, driven, innovative machine learning engineer who takes initiative to solve problems and create environments that accelerate the development, deployment, and usage of data science models and AI to drive greater organizational impact. The Data Science & Data Engineering team within the Enterprise Analytics organization builds data assets, predictive models, analytical applications, and platforms across the organization. Our team collaborates with business stakeholders, analysts, and technology teams to tackle high-impact use cases with state-of-the-art models and tools to grow the business, streamline costs, and improve guest experiences. Job Specifications: Starting Wage: $140,000 - $185,000 + Annual Bonus Employment Type: Year Round Shift Type: Full Time hours Minimum Age: At least 18 years of age Housing Availability: No Job Responsibilities: Productionize ML models developed by data science into reliable, monitored, maintainable systems. Build model data foundations that ensure training, inference, monitoring, and analytics data are trustworthy and scalable. Architect ML platform patterns in Databricks that bring reliability, consistency, governance, performance, and cost discipline to ML and data workflows. Identify and scope opportunities for ML engineering across the business for high-impact. Develop reusable tools , libraries, standards, documentation, and production-readiness practices to enable data science and data engineering teams. Develop analytical and model-powered applications that turn data and ML outputs into usable business workflows for end users. Prepare the platform for future AI engineering , including LLM and agent-based systems, as the organization matures. Provide technical leadership and mentoring across engineering, architecture, and development including design and code reviews. Job Requirements: Technical Skills: Quantitative Foundation : B.S. degree in a quantitative field (e.g., Computer Science, Mathematics, Statistics, Economics, Operations Research, Engineering). Software Engineering Fundamentals: write clean, modular, testable, maintainable code and understand how to structure production-grade systems rather than one-off notebooks or scripts. Python and SQL Proficiency: strong in Python and SQL for building data pipelines, automation, model integrations, analytical workflows, and production services. Data Modeling and Pipeline Design: understand how to design reliable, well-structured data assets, including curated tables, feature datasets, batch pipelines, orchestration, data quality checks, and lineage. ML Lifecycle Fluency: understand the full model lifecycle: data collection, exploration, model development, validation, deployment, monitoring, retraining, and retirement. Production ML Patterns: understand core MLOps patterns such as model registries, feature/data versioning, reproducible environments, testing/validation, monitoring, and rollback. Cloud and Platform Engineering: You are comfortable working in cloud-based data and ML environments and understand the foundations of permissions, environments, jobs, services, storage, networking, and cost-aware architecture. Databricks Expertise : You're familiar and experienced with the core parts of Spark, Unity Catalog, Delta Lake, Databricks Workflows, MLflow, model registry patterns, job/cluster optimization, and governance. DevOps Practices: You use modern engineering practices such as Git, CI/CD, automated testing, code review, dependency management, environment management, and observability. Application Development : You can build applications, APIs, dashboards, or workflow tools that sit on top of data and model outputs. System Design: You can reason through tradeoffs across reliability, latency, scale, cost, governance, maintainability, and ease of use. Soft Skills: Curious : bring intellectual curiosity, an inquisitive nature, and a desire to deepen your knowledge and continue learning. Ownership : take responsibility to proactively advance projects, contribute to the organization, and develop the best solutions. Communication: explain technical concepts, risks, tradeoffs, and recommendations clearly to technical and non-technical audiences. Collaboration: work effectively cross-functionally with data scientists, data engineers, analysts, application engineers, product partners, and business stakeholders. Pragmatism : You know how to balance ideal architecture with business urgency, team maturity, operational constraints, and the need to ship. Preferred qualifications: A graduate degree (Masters or PhD) in a quantitative field Experience with dbt (Core) for modular data modeling, including testing, documentation, and dependency management Experience with AI engineer to use, build, and monitor agentic solutions The expected Total Compensation for this role is $140,000 - $185,000 + Annual Bonus. Individual compensation decisions are based on a variety of factors. Job Benefits Ski/Mountain Perks! Free passes for employees, employee discounted lift tickets for friends and family AND free ski lessons MORE employee discounts on lodging, food, gear, and mountain shuttles 401(k) Retirement Plan Employee Assistance Program Excellent training and professional development Full Time roles are eligible for the above, plus: Health Insurance; Medical Insurance, Dental Insurance, and Vision Insurance plans (for eligible seasonal employees after working 500 hours) Free ski passes for dependents Critical Illness and Accident plans Employees can work remotely from British Columbia, Washington D.C., and the 16 U.S. states in which we currently operate. This includes: California, Colorado, Indiana, Michigan, Minnesota, Missouri, New Hampshire, New York, Nevada, Ohio, Pennsylvania, Utah, Vermont, Washington State, Wisconsin, and Wyoming. Please note that the ability to work in person or off-site, and the particulars related to such work, are subject to change at any time; and, accordingly, the Company reserves the right to change its policies and/or require in-person/in-office work or off-site work at any time in its sole discretion. In completing this application, and when submitting related documentation, applicants may redact information that identifies their age, date of birth, and/or dates of attendance at or graduation from an educational institution. We follow all federal, state, and local laws including restrictions on child/minor labor. Minors hired into this position will not be asked or permitted to engage in any activities restricted to adult workers. Vail Resorts is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status or any other status protected by applicable law. Requisition ID 517322 Reference Date: 09/05/2026 Job Code Function: Data Science
09/17/2026
Full time
Job Description Job Description Our mission is to create the Experience of a Lifetime for our employees, so they can, in turn, create the Experience of a Lifetime for our guests. We own and operate the most renowned destination resorts in the world as well as regional and local ski areas outside major cities, and connect them all through one unrivaled network. We are looking for ambitious leaders, innovators and creators to join our talented team. If you're ready to pursue your fullest potential, we want to get to know you! Candidates for year-round positions are reviewed on a rolling basis. Applications will be accepted up to 90 days after the posting date, or until the position is filled (whichever is first). Job Summary: We are looking for a curious, driven, innovative machine learning engineer who takes initiative to solve problems and create environments that accelerate the development, deployment, and usage of data science models and AI to drive greater organizational impact. The Data Science & Data Engineering team within the Enterprise Analytics organization builds data assets, predictive models, analytical applications, and platforms across the organization. Our team collaborates with business stakeholders, analysts, and technology teams to tackle high-impact use cases with state-of-the-art models and tools to grow the business, streamline costs, and improve guest experiences. Job Specifications: Starting Wage: $140,000 - $185,000 + Annual Bonus Employment Type: Year Round Shift Type: Full Time hours Minimum Age: At least 18 years of age Housing Availability: No Job Responsibilities: Productionize ML models developed by data science into reliable, monitored, maintainable systems. Build model data foundations that ensure training, inference, monitoring, and analytics data are trustworthy and scalable. Architect ML platform patterns in Databricks that bring reliability, consistency, governance, performance, and cost discipline to ML and data workflows. Identify and scope opportunities for ML engineering across the business for high-impact. Develop reusable tools , libraries, standards, documentation, and production-readiness practices to enable data science and data engineering teams. Develop analytical and model-powered applications that turn data and ML outputs into usable business workflows for end users. Prepare the platform for future AI engineering , including LLM and agent-based systems, as the organization matures. Provide technical leadership and mentoring across engineering, architecture, and development including design and code reviews. Job Requirements: Technical Skills: Quantitative Foundation : B.S. degree in a quantitative field (e.g., Computer Science, Mathematics, Statistics, Economics, Operations Research, Engineering). Software Engineering Fundamentals: write clean, modular, testable, maintainable code and understand how to structure production-grade systems rather than one-off notebooks or scripts. Python and SQL Proficiency: strong in Python and SQL for building data pipelines, automation, model integrations, analytical workflows, and production services. Data Modeling and Pipeline Design: understand how to design reliable, well-structured data assets, including curated tables, feature datasets, batch pipelines, orchestration, data quality checks, and lineage. ML Lifecycle Fluency: understand the full model lifecycle: data collection, exploration, model development, validation, deployment, monitoring, retraining, and retirement. Production ML Patterns: understand core MLOps patterns such as model registries, feature/data versioning, reproducible environments, testing/validation, monitoring, and rollback. Cloud and Platform Engineering: You are comfortable working in cloud-based data and ML environments and understand the foundations of permissions, environments, jobs, services, storage, networking, and cost-aware architecture. Databricks Expertise : You're familiar and experienced with the core parts of Spark, Unity Catalog, Delta Lake, Databricks Workflows, MLflow, model registry patterns, job/cluster optimization, and governance. DevOps Practices: You use modern engineering practices such as Git, CI/CD, automated testing, code review, dependency management, environment management, and observability. Application Development : You can build applications, APIs, dashboards, or workflow tools that sit on top of data and model outputs. System Design: You can reason through tradeoffs across reliability, latency, scale, cost, governance, maintainability, and ease of use. Soft Skills: Curious : bring intellectual curiosity, an inquisitive nature, and a desire to deepen your knowledge and continue learning. Ownership : take responsibility to proactively advance projects, contribute to the organization, and develop the best solutions. Communication: explain technical concepts, risks, tradeoffs, and recommendations clearly to technical and non-technical audiences. Collaboration: work effectively cross-functionally with data scientists, data engineers, analysts, application engineers, product partners, and business stakeholders. Pragmatism : You know how to balance ideal architecture with business urgency, team maturity, operational constraints, and the need to ship. Preferred qualifications: A graduate degree (Masters or PhD) in a quantitative field Experience with dbt (Core) for modular data modeling, including testing, documentation, and dependency management Experience with AI engineer to use, build, and monitor agentic solutions The expected Total Compensation for this role is $140,000 - $185,000 + Annual Bonus. Individual compensation decisions are based on a variety of factors. Job Benefits Ski/Mountain Perks! Free passes for employees, employee discounted lift tickets for friends and family AND free ski lessons MORE employee discounts on lodging, food, gear, and mountain shuttles 401(k) Retirement Plan Employee Assistance Program Excellent training and professional development Full Time roles are eligible for the above, plus: Health Insurance; Medical Insurance, Dental Insurance, and Vision Insurance plans (for eligible seasonal employees after working 500 hours) Free ski passes for dependents Critical Illness and Accident plans Employees can work remotely from British Columbia, Washington D.C., and the 16 U.S. states in which we currently operate. This includes: California, Colorado, Indiana, Michigan, Minnesota, Missouri, New Hampshire, New York, Nevada, Ohio, Pennsylvania, Utah, Vermont, Washington State, Wisconsin, and Wyoming. Please note that the ability to work in person or off-site, and the particulars related to such work, are subject to change at any time; and, accordingly, the Company reserves the right to change its policies and/or require in-person/in-office work or off-site work at any time in its sole discretion. In completing this application, and when submitting related documentation, applicants may redact information that identifies their age, date of birth, and/or dates of attendance at or graduation from an educational institution. We follow all federal, state, and local laws including restrictions on child/minor labor. Minors hired into this position will not be asked or permitted to engage in any activities restricted to adult workers. Vail Resorts is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status or any other status protected by applicable law. Requisition ID 517322 Reference Date: 09/05/2026 Job Code Function: Data Science
Set and drive strategies to transform operations planning business processes, focusing on schedule reliability, cost reduction and optimization; Influence leaders, squads and peers on strategy, technical feasibilities, DevOps best practices, software performance optimizations, roadmap items, OKRs and upcoming releases; Collaborate with internal teams, and Operations Research, IT and Network Planning teams to build the next generation of planning tools. Plan, organize, and direct the design, development, and implementation of enterprise planning products using cloud technologies, advanced analytics, and efficient workflow design; Design and optimize operational planning processes to improve operational performance; Design experiments, conduct feasibility studies, systems analysis, and technical economic assessments of various schedule constraints and operational standards; Mine, model, analyze, and evaluate operational data to identify root cause factors impacting network reliability; Play a key role in solving complex science problems which contribute to development of network schedules and operations plans; Coordinate process engineering projects across departments. Work closely with cross-functional teams to implement improvements; Contribute to the technical architecture and design of products by collaborating with engineering teams to ensure alignment with enterprise system architecture and cloud best practices; Collaborate with operational planning departments across divisions (Airport planning, Technical Operations/Maintenance, Integrated Operations Center Planning, Crew Planning), Operational leadership, and Network Planning in the development of future schedules and schedule solutions; Utilize technical analytics including A/B testing, product architecture, continuous deployment process, DevOps practices, data models and analytics, querying languages, tools supporting automation/metrics and other technologies in support of improved operational performance; Understand the budgetary implications and related organizational constraints in factoring areas of focus; Practice agility in discovering and delivering value continuously. Work Schedule: 40 hours per week/8 a.m.-5 p.m./M-F. Job Location: Fort Worth, TX Education and Experience Requirements Masters degree in Data Science, Business Analytics, or related field, plus 2 years of experience as Analyst, Product Owner, Specialist, Consultant, or any occupation in which the required experience was gained, and demonstrated experience in: Python Programming; SQL Programming; Airline Operations and Schedule Planning; Airline business model; Machine Learning and statistical Forecast Models for Airlines; Azure Databricks for automating workflows and data pipelines; Azure Data Factory; Azure DevOps; Tableau Dashboards for tracking performance; Test Driven Development; A/B Testing; Software Development; Data Analysis; Data Engineering. Please copy and paste your resume in the email body (do not send attachments, we cannot open them) and email it to candidates at (link removed) with reference in the subject line. Thank you.
09/17/2026
Set and drive strategies to transform operations planning business processes, focusing on schedule reliability, cost reduction and optimization; Influence leaders, squads and peers on strategy, technical feasibilities, DevOps best practices, software performance optimizations, roadmap items, OKRs and upcoming releases; Collaborate with internal teams, and Operations Research, IT and Network Planning teams to build the next generation of planning tools. Plan, organize, and direct the design, development, and implementation of enterprise planning products using cloud technologies, advanced analytics, and efficient workflow design; Design and optimize operational planning processes to improve operational performance; Design experiments, conduct feasibility studies, systems analysis, and technical economic assessments of various schedule constraints and operational standards; Mine, model, analyze, and evaluate operational data to identify root cause factors impacting network reliability; Play a key role in solving complex science problems which contribute to development of network schedules and operations plans; Coordinate process engineering projects across departments. Work closely with cross-functional teams to implement improvements; Contribute to the technical architecture and design of products by collaborating with engineering teams to ensure alignment with enterprise system architecture and cloud best practices; Collaborate with operational planning departments across divisions (Airport planning, Technical Operations/Maintenance, Integrated Operations Center Planning, Crew Planning), Operational leadership, and Network Planning in the development of future schedules and schedule solutions; Utilize technical analytics including A/B testing, product architecture, continuous deployment process, DevOps practices, data models and analytics, querying languages, tools supporting automation/metrics and other technologies in support of improved operational performance; Understand the budgetary implications and related organizational constraints in factoring areas of focus; Practice agility in discovering and delivering value continuously. Work Schedule: 40 hours per week/8 a.m.-5 p.m./M-F. Job Location: Fort Worth, TX Education and Experience Requirements Masters degree in Data Science, Business Analytics, or related field, plus 2 years of experience as Analyst, Product Owner, Specialist, Consultant, or any occupation in which the required experience was gained, and demonstrated experience in: Python Programming; SQL Programming; Airline Operations and Schedule Planning; Airline business model; Machine Learning and statistical Forecast Models for Airlines; Azure Databricks for automating workflows and data pipelines; Azure Data Factory; Azure DevOps; Tableau Dashboards for tracking performance; Test Driven Development; A/B Testing; Software Development; Data Analysis; Data Engineering. Please copy and paste your resume in the email body (do not send attachments, we cannot open them) and email it to candidates at (link removed) with reference in the subject line. Thank you.
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 Lead Specialist to join our Federal Advisory practice. Responsibilities: Manage and coordinate the implementation, administration, and continuous tuning of AppGate SDP platform components in support of broader enterprise Zero Trust Network Access (ZTNA) objectives Architect, develop, and enforce dynamic, identity-centric security policies, granular micro segmentation rules, and context -aware trusted access models Translate complex organizational security requirements into scalable, effective ZTNA policies across the environment Lead technical workshops, requirements gathering, and workflow creation for securely and seamlessly onboarding mission application to the ZT Architecture Integrate ZTNA tools (AppGate) with broader security ecosystem components including IAM, PAM, and SIEM solutions to achieve end-to-end Zero Trust automation and continuous monitoring Mentor a team of engineers and analysts responsible for AppGate operations Develop comprehensive solution documentation, operational runbooks, and policy guidelines, which contributing to project tracking and reporting Interface with client stakeholders to ensure all ZTNA deployments and access policies rigorously align with compliance, security, and operational mission requirements Qualifications: A minimum of five years of experience with network security technology and diverse Zero Trust Network Access (ZTNA) solutions, including hands-on AppGate SDP implementation experience; U.S. Federal government consulting experience preferred Bachelor's degree from an accredited college/university Two years of leadership or managerial experience Broad, vendor-agnostic knowledge of ZTNA platforms and Software-Defined Perimeter (SDP) architectures Experience designing, implementing, and managing complex, context-based access policies and segmentation strategies at an enterprise scale Strong understanding of Zero Trust principles and deployment patterns, with familiarity with relevant DoD frameworks, NIST 800-207, and large-scale enterprise environments Experience integrating ZTNA solutions with comprehensive Identity and Access Management (IAM), Privileged Access Management (PAM), and ITSM systems Preferred certifications: CISSP, CCSP, GIAC, AppGate Ability to travel as required to support firm engagements Applicant must possess a U.S. Government Secret clearance 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.
09/16/2026
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 Lead Specialist to join our Federal Advisory practice. Responsibilities: Manage and coordinate the implementation, administration, and continuous tuning of AppGate SDP platform components in support of broader enterprise Zero Trust Network Access (ZTNA) objectives Architect, develop, and enforce dynamic, identity-centric security policies, granular micro segmentation rules, and context -aware trusted access models Translate complex organizational security requirements into scalable, effective ZTNA policies across the environment Lead technical workshops, requirements gathering, and workflow creation for securely and seamlessly onboarding mission application to the ZT Architecture Integrate ZTNA tools (AppGate) with broader security ecosystem components including IAM, PAM, and SIEM solutions to achieve end-to-end Zero Trust automation and continuous monitoring Mentor a team of engineers and analysts responsible for AppGate operations Develop comprehensive solution documentation, operational runbooks, and policy guidelines, which contributing to project tracking and reporting Interface with client stakeholders to ensure all ZTNA deployments and access policies rigorously align with compliance, security, and operational mission requirements Qualifications: A minimum of five years of experience with network security technology and diverse Zero Trust Network Access (ZTNA) solutions, including hands-on AppGate SDP implementation experience; U.S. Federal government consulting experience preferred Bachelor's degree from an accredited college/university Two years of leadership or managerial experience Broad, vendor-agnostic knowledge of ZTNA platforms and Software-Defined Perimeter (SDP) architectures Experience designing, implementing, and managing complex, context-based access policies and segmentation strategies at an enterprise scale Strong understanding of Zero Trust principles and deployment patterns, with familiarity with relevant DoD frameworks, NIST 800-207, and large-scale enterprise environments Experience integrating ZTNA solutions with comprehensive Identity and Access Management (IAM), Privileged Access Management (PAM), and ITSM systems Preferred certifications: CISSP, CCSP, GIAC, AppGate Ability to travel as required to support firm engagements Applicant must possess a U.S. Government Secret clearance 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.
W2 Role-QA Automation Engineer (Java/JavaScript, Selenium, Cucumber) Location: Dallas, TX (Day 1 Onsite) Employment Type: Contract Job Description We are seeking a highly skilled QA Automation Engineer to join our team in Dallas, TX. The ideal candidate will have strong experience in test automation using Java or JavaScript, Selenium WebDriver, and Cucumber (BDD) to build scalable and maintainable automation frameworks. This role requires close collaboration with developers, business analysts, and DevOps teams to ensure the delivery of high-quality software applications. Required Qualifications 8+ years of experience in Software Quality Assurance and Test Automation. Strong programming experience in Java or JavaScript. Hands-on experience with Selenium WebDriver for UI automation. Experience using Cucumber (BDD) and writing Gherkin feature files. Strong knowledge of TestNG or JUnit. Experience with Maven or Gradle for build automation. Experience testing REST APIs using Postman, REST Assured, or similar tools. Strong understanding of Agile/Scrum methodologies. Experience with version control systems such as Git. Experience with CI/CD tools such as Jenkins, GitHub Actions, or Azure DevOps. Strong SQL skills for backend/database validation. Excellent analytical, troubleshooting, and communication skills. Preferred Qualifications Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP). Experience with API, database, and end-to-end automation testing. Knowledge of Docker, Kubernetes, or containerized testing environments. Familiarity with performance testing tools such as JMeter is a plus. Experience working in enterprise-scale applications with high-volume transactional systems. Key Responsibilities Design, develop, and maintain robust automation frameworks using Java/JavaScript, Selenium, and Cucumber. Create and execute automated test scripts for web applications. Develop and maintain BDD test scenarios using Gherkin syntax. Perform functional, regression, integration, and end-to-end testing. Automate REST API testing and backend validations. Integrate automation suites into CI/CD pipelines. Analyze test results, identify defects, and work closely with development teams to resolve issues. Participate in sprint planning, backlog grooming, and Agile ceremonies. Continuously improve test coverage, automation efficiency, and overall software quality. Must-Have Skills QA Automation Java or JavaScript Selenium WebDriver Cucumber (BDD) TestNG / JUnit REST API Testing Postman / REST Assured Maven / Gradle Git Jenkins / CI/CD SQL Agile / Scrum
09/16/2026
W2 Role-QA Automation Engineer (Java/JavaScript, Selenium, Cucumber) Location: Dallas, TX (Day 1 Onsite) Employment Type: Contract Job Description We are seeking a highly skilled QA Automation Engineer to join our team in Dallas, TX. The ideal candidate will have strong experience in test automation using Java or JavaScript, Selenium WebDriver, and Cucumber (BDD) to build scalable and maintainable automation frameworks. This role requires close collaboration with developers, business analysts, and DevOps teams to ensure the delivery of high-quality software applications. Required Qualifications 8+ years of experience in Software Quality Assurance and Test Automation. Strong programming experience in Java or JavaScript. Hands-on experience with Selenium WebDriver for UI automation. Experience using Cucumber (BDD) and writing Gherkin feature files. Strong knowledge of TestNG or JUnit. Experience with Maven or Gradle for build automation. Experience testing REST APIs using Postman, REST Assured, or similar tools. Strong understanding of Agile/Scrum methodologies. Experience with version control systems such as Git. Experience with CI/CD tools such as Jenkins, GitHub Actions, or Azure DevOps. Strong SQL skills for backend/database validation. Excellent analytical, troubleshooting, and communication skills. Preferred Qualifications Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP). Experience with API, database, and end-to-end automation testing. Knowledge of Docker, Kubernetes, or containerized testing environments. Familiarity with performance testing tools such as JMeter is a plus. Experience working in enterprise-scale applications with high-volume transactional systems. Key Responsibilities Design, develop, and maintain robust automation frameworks using Java/JavaScript, Selenium, and Cucumber. Create and execute automated test scripts for web applications. Develop and maintain BDD test scenarios using Gherkin syntax. Perform functional, regression, integration, and end-to-end testing. Automate REST API testing and backend validations. Integrate automation suites into CI/CD pipelines. Analyze test results, identify defects, and work closely with development teams to resolve issues. Participate in sprint planning, backlog grooming, and Agile ceremonies. Continuously improve test coverage, automation efficiency, and overall software quality. Must-Have Skills QA Automation Java or JavaScript Selenium WebDriver Cucumber (BDD) TestNG / JUnit REST API Testing Postman / REST Assured Maven / Gradle Git Jenkins / CI/CD SQL Agile / Scrum
Job Description Job Description About Workato Workato is the leading Control and Execution Platform for Enterprise AI - the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 - including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors - Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles . We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care . That's why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an "enterprise startup to bet your career on" Forbes' Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the best company for remote workers Responsibilities We're looking for a Partner Operations Analyst to join our Partner Operations team. This role will own data infrastructure, reporting, and analytics that power partner performance visibility, deal tracking, and enablement across our partner ecosystem. This is a highly analytical, data-engineering-adjacent role - you'll be building and maintaining the pipelines, dashboards, and data models that partner leadership and cross-functional stakeholders rely on daily. In this role, you will also be responsible for: Design, build, and maintain Sigma dashboards for partner performance, deal pipeline, tier compliance, and payout tracking Own data modeling and querying against Snowflake to support partner analytics, attribution, and reporting needs Build and maintain data pipelines connecting Salesforce, PRM (Allbound), and Snowflake to ensure clean, consistent, and timely partner data Manage and maintain the partner portal/PRM platform - user provisioning, content updates, tier/permission logic, and adoption tracking Monitor partner health metrics, tier status, and compliance; flag anomalies and data quality issues proactively Manage partner deal/referral pipeline data integrity - ensure CRM records are accurate, deduplicated, and properly attributed Partner with BT/Data Engineering on schema design, ETL improvements, and automation of recurring reporting workflows Build and maintain Workato recipes/automations to reduce manual reporting and data-reconciliation work Document data definitions, metrics logic, and reporting processes for the broader Partner Ops function Support ad hoc data requests and deep-dive analyses for partner leadership and executive reporting Requirements Qualifications / Experience / Technical Skills 3-5 years of experience in partner operations, revenue operations, sales operations, or a data/analytics role within a SaaS environment. Strong SQL skills and hands-on experience with Snowflake (or similar cloud data warehouse) Experience building dashboards/reports in Sigma (or comparable BI tools - Tableau, Looker, Power BI) Familiarity with Salesforce data model; hands-on experience managing a partner portal/PRM platform (Allbound or similar) Comfort with data pipeline/ETL concepts and hands-on experience with automation platforms (Workato or similar) Basic sales operations experience - territory/quota data, pipeline hygiene, CRM administration, reporting cadences Strong analytical rigor and attention to data accuracy/integrity Ability to document processes and data logic clearly for non-technical stakeholders Self-starter comfortable building process and reporting infrastructure from the ground up Experience at a high-growth B2B SaaS startup strongly preferred Soft Skills / Personal Characteristics You care deeply - We take pride in our work and aim to create meaningful impact for our customers and teammates. We pay attention to the details, think ahead, and hold ourselves to a high bar. Excellence isn't optional - it's part of who we are. No task is beneath us - We do what needs to be done. Titles and ego never outweigh team success. We communicate clearly and respectfully - Clarity is kindness. We are direct, open, and timely in our communication. We say what we mean, listen thoughtfully, and ensure no one is left guessing. We stay curious and keep improving - We challenge assumptions, explore new ideas, and continuously look for better ways to operate. Growth requires curiosity, courage, and a willingness to evolve. We act with integrity - Trust is earned over time and can be lost in a moment. We do what is right - even when it's inconvenient or difficult. Integrity guides every decision we make. We are committed to impact - Great results require ownership and dedication. We step up when it matters, support one another, and stay focused on delivering meaningful outcomes for our customers and team. (REQ ID: 2787)
09/16/2026
Full time
Job Description Job Description About Workato Workato is the leading Control and Execution Platform for Enterprise AI - the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 - including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors - Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles . We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care . That's why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an "enterprise startup to bet your career on" Forbes' Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the best company for remote workers Responsibilities We're looking for a Partner Operations Analyst to join our Partner Operations team. This role will own data infrastructure, reporting, and analytics that power partner performance visibility, deal tracking, and enablement across our partner ecosystem. This is a highly analytical, data-engineering-adjacent role - you'll be building and maintaining the pipelines, dashboards, and data models that partner leadership and cross-functional stakeholders rely on daily. In this role, you will also be responsible for: Design, build, and maintain Sigma dashboards for partner performance, deal pipeline, tier compliance, and payout tracking Own data modeling and querying against Snowflake to support partner analytics, attribution, and reporting needs Build and maintain data pipelines connecting Salesforce, PRM (Allbound), and Snowflake to ensure clean, consistent, and timely partner data Manage and maintain the partner portal/PRM platform - user provisioning, content updates, tier/permission logic, and adoption tracking Monitor partner health metrics, tier status, and compliance; flag anomalies and data quality issues proactively Manage partner deal/referral pipeline data integrity - ensure CRM records are accurate, deduplicated, and properly attributed Partner with BT/Data Engineering on schema design, ETL improvements, and automation of recurring reporting workflows Build and maintain Workato recipes/automations to reduce manual reporting and data-reconciliation work Document data definitions, metrics logic, and reporting processes for the broader Partner Ops function Support ad hoc data requests and deep-dive analyses for partner leadership and executive reporting Requirements Qualifications / Experience / Technical Skills 3-5 years of experience in partner operations, revenue operations, sales operations, or a data/analytics role within a SaaS environment. Strong SQL skills and hands-on experience with Snowflake (or similar cloud data warehouse) Experience building dashboards/reports in Sigma (or comparable BI tools - Tableau, Looker, Power BI) Familiarity with Salesforce data model; hands-on experience managing a partner portal/PRM platform (Allbound or similar) Comfort with data pipeline/ETL concepts and hands-on experience with automation platforms (Workato or similar) Basic sales operations experience - territory/quota data, pipeline hygiene, CRM administration, reporting cadences Strong analytical rigor and attention to data accuracy/integrity Ability to document processes and data logic clearly for non-technical stakeholders Self-starter comfortable building process and reporting infrastructure from the ground up Experience at a high-growth B2B SaaS startup strongly preferred Soft Skills / Personal Characteristics You care deeply - We take pride in our work and aim to create meaningful impact for our customers and teammates. We pay attention to the details, think ahead, and hold ourselves to a high bar. Excellence isn't optional - it's part of who we are. No task is beneath us - We do what needs to be done. Titles and ego never outweigh team success. We communicate clearly and respectfully - Clarity is kindness. We are direct, open, and timely in our communication. We say what we mean, listen thoughtfully, and ensure no one is left guessing. We stay curious and keep improving - We challenge assumptions, explore new ideas, and continuously look for better ways to operate. Growth requires curiosity, courage, and a willingness to evolve. We act with integrity - Trust is earned over time and can be lost in a moment. We do what is right - even when it's inconvenient or difficult. Integrity guides every decision we make. We are committed to impact - Great results require ownership and dedication. We step up when it matters, support one another, and stay focused on delivering meaningful outcomes for our customers and team. (REQ ID: 2787)
Company / Location Information A.O. Smith is a global leader applying innovative technologies and energy-efficient solutions to products manufactured and marketed worldwide. The company is one of the world's leading manufacturers of residential and commercial water heating equipment and boilers, as well as a manufacturer of water treatment products for residential and light commercial applications. A. O. Smith is headquartered in Milwaukee, Wisconsin, with approximately 12,000 employees at operations in the United States, Canada, China, India, Mexico, the Netherlands, and the United Kingdom. Please Note : At this time, we are unable to provide visa sponsorship for this role. Candidates must be authorized to work in the United States without sponsorship now or in the future. Primary Function The SAP Supply Chain Senior Solutions Architect is responsible for defining, governing, and delivering enterprise supply chain technology solutions with a primary focus on SAP Materials Management (MM) and related business processes. This role serves as a strategic technology leader for Materials Management, Procurement, Vendor Management, Master Data, Logistics Execution, Inventory Management, and Warehouse Management capabilities. The position partners closely with business stakeholders, enterprise architects, vendors, and delivery teams to develop technology roadmaps, drive innovation, and ensure scalable, secure, and sustainable solutions that support business objectives. Role Specific Responsibilities Solution Architecture & Strategy Lead architecture and solution design activities for SAP MM and related Supply Chain processes. Define and maintain the long-term technology roadmap for Materials Management and supporting Supply Chain applications. Ensure alignment of solutions with enterprise architecture standards, cybersecurity requirements, and business strategy. Evaluate emerging technologies and recommend opportunities for modernization, automation, AI, and digital transformation. Business Process & Functional Leadership Provide subject matter expertise in: SAP Materials Management (MM) Procurement and Purchasing Vendor Management MM Master Data Governance Logistics Execution Inventory Management and Warehouse Management (WM/EWM) Collaborate with business leaders to identify process improvements and technology opportunities. Translate business requirements into scalable solution architectures and implementation roadmaps. Application Ownership & Integration Own the architecture, support strategy, and lifecycle management for SAP MM and associated Supply Chain solutions. Provide architectural oversight for integrations between SAP and non-SAP applications. Maintain accountability for business-critical integrated solutions, including vendor portals, external supply chain applications, and related platforms. Ensure system reliability, performance, scalability, and supportability. Governance & Delivery Lead architecture reviews and solution governance activities. Establish and enforce design standards, best practices, and development guidelines. Support project delivery teams through design reviews, risk assessments, and solution validation. Drive continuous improvement initiatives across Supply Chain Systems. Vendor & Stakeholder Management Manage strategic relationships with software vendors, implementation partners, and service providers. Provide technical leadership and guidance to analysts, developers, and project teams. Influence business and technology stakeholders through effective communication and strategic planning. Qualifications Required Qualifications Bachelor's degree in Information Technology, Supply Chain, Business, Engineering, or a related discipline. 7+ years of experience in SAP Supply Chain solution architecture, consulting, implementation, or enterprise application leadership. Deep expertise in SAP Materials Management (MM), Procurement, Vendor Management, Material Master, Logistics Execution, and Inventory Management Experience supporting SAP ECC and/or SAP S/4HANA environments including SAP Configuration, Functional Specifications, Testing, SAP Implementations, Material Master, Purchasing Demonstrated experience leading enterprise-scale solution design and architecture governance. Experience integrating SAP solutions with non-SAP applications and external platforms. Strong analytical, communication, leadership, and stakeholder management skills. Preferred Qualifications Experience leading large-scale ERP transformation or modernization initiatives. Knowledge of enterprise integration platforms, APIs, middleware, and cloud technologies. Experience with data governance, master data management, and reporting solutions. SAP certification(s) in MM, S/4HANA, or related Supply Chain disciplines. Experience with SAP WM and/or SAP EWM. Success Measures Delivery of scalable, secure, and supportable Supply Chain solutions. Alignment of technology investments with business strategy and roadmap objectives. Improved operational efficiency, process standardization, and user experience. Effective governance of SAP and integrated Supply Chain platforms. Strong vendor partnerships and successful execution of strategic initiatives, We Offer Competitive compensation package and comprehensive benefits plans which include medical and dental insurance, company-sponsored life insurance, retirement security savings plan, short- and long-term disability programs and tuition assistance. ADA Statement & EEO Statement In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis. We consider all applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, gender identity and expression, marital or military status. We also provide reasonable accommodations to qualified individuals with disabilities in accordance with the Americans with Disabilities Act and applicable state and local law.
09/16/2026
Full time
Company / Location Information A.O. Smith is a global leader applying innovative technologies and energy-efficient solutions to products manufactured and marketed worldwide. The company is one of the world's leading manufacturers of residential and commercial water heating equipment and boilers, as well as a manufacturer of water treatment products for residential and light commercial applications. A. O. Smith is headquartered in Milwaukee, Wisconsin, with approximately 12,000 employees at operations in the United States, Canada, China, India, Mexico, the Netherlands, and the United Kingdom. Please Note : At this time, we are unable to provide visa sponsorship for this role. Candidates must be authorized to work in the United States without sponsorship now or in the future. Primary Function The SAP Supply Chain Senior Solutions Architect is responsible for defining, governing, and delivering enterprise supply chain technology solutions with a primary focus on SAP Materials Management (MM) and related business processes. This role serves as a strategic technology leader for Materials Management, Procurement, Vendor Management, Master Data, Logistics Execution, Inventory Management, and Warehouse Management capabilities. The position partners closely with business stakeholders, enterprise architects, vendors, and delivery teams to develop technology roadmaps, drive innovation, and ensure scalable, secure, and sustainable solutions that support business objectives. Role Specific Responsibilities Solution Architecture & Strategy Lead architecture and solution design activities for SAP MM and related Supply Chain processes. Define and maintain the long-term technology roadmap for Materials Management and supporting Supply Chain applications. Ensure alignment of solutions with enterprise architecture standards, cybersecurity requirements, and business strategy. Evaluate emerging technologies and recommend opportunities for modernization, automation, AI, and digital transformation. Business Process & Functional Leadership Provide subject matter expertise in: SAP Materials Management (MM) Procurement and Purchasing Vendor Management MM Master Data Governance Logistics Execution Inventory Management and Warehouse Management (WM/EWM) Collaborate with business leaders to identify process improvements and technology opportunities. Translate business requirements into scalable solution architectures and implementation roadmaps. Application Ownership & Integration Own the architecture, support strategy, and lifecycle management for SAP MM and associated Supply Chain solutions. Provide architectural oversight for integrations between SAP and non-SAP applications. Maintain accountability for business-critical integrated solutions, including vendor portals, external supply chain applications, and related platforms. Ensure system reliability, performance, scalability, and supportability. Governance & Delivery Lead architecture reviews and solution governance activities. Establish and enforce design standards, best practices, and development guidelines. Support project delivery teams through design reviews, risk assessments, and solution validation. Drive continuous improvement initiatives across Supply Chain Systems. Vendor & Stakeholder Management Manage strategic relationships with software vendors, implementation partners, and service providers. Provide technical leadership and guidance to analysts, developers, and project teams. Influence business and technology stakeholders through effective communication and strategic planning. Qualifications Required Qualifications Bachelor's degree in Information Technology, Supply Chain, Business, Engineering, or a related discipline. 7+ years of experience in SAP Supply Chain solution architecture, consulting, implementation, or enterprise application leadership. Deep expertise in SAP Materials Management (MM), Procurement, Vendor Management, Material Master, Logistics Execution, and Inventory Management Experience supporting SAP ECC and/or SAP S/4HANA environments including SAP Configuration, Functional Specifications, Testing, SAP Implementations, Material Master, Purchasing Demonstrated experience leading enterprise-scale solution design and architecture governance. Experience integrating SAP solutions with non-SAP applications and external platforms. Strong analytical, communication, leadership, and stakeholder management skills. Preferred Qualifications Experience leading large-scale ERP transformation or modernization initiatives. Knowledge of enterprise integration platforms, APIs, middleware, and cloud technologies. Experience with data governance, master data management, and reporting solutions. SAP certification(s) in MM, S/4HANA, or related Supply Chain disciplines. Experience with SAP WM and/or SAP EWM. Success Measures Delivery of scalable, secure, and supportable Supply Chain solutions. Alignment of technology investments with business strategy and roadmap objectives. Improved operational efficiency, process standardization, and user experience. Effective governance of SAP and integrated Supply Chain platforms. Strong vendor partnerships and successful execution of strategic initiatives, We Offer Competitive compensation package and comprehensive benefits plans which include medical and dental insurance, company-sponsored life insurance, retirement security savings plan, short- and long-term disability programs and tuition assistance. ADA Statement & EEO Statement In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis. We consider all applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, gender identity and expression, marital or military status. We also provide reasonable accommodations to qualified individuals with disabilities in accordance with the Americans with Disabilities Act and applicable state and local law.
Pinnacle Business Strategies LLC
Saint Louis, Missouri
Job Description Job Description At Pinnacle Business Strategies, our greatest asset is our team. We are a people-first, mission-driven organization built on a simple philosophy: when we invest deeply in our teammates, exceptional results naturally follow. We don't just talk about supportive culture; we live it by providing continuous learning opportunities and supporting your long-term career growth. When you join our team, you are not just taking a job; you are joining a collaborative community of top talent. Our daily work is fueled by a shared commitment to making a tangible impact. At Pinnacle Business Strategies, LLC, our mission is to empower organizations to achieve exceptional performance through innovative strategies and technology solutions. Together, we bring an entrepreneurial mindset to align cutting-edge technology, IT integration, and geospatial analytics to help solve complex challenges. If you are looking for a dynamic workplace that values your unique contributions and actively champions your development, Pinnacle is the place to build your future. The Data Engineer is responsible for designing, developing, and maintaining enterprise data pipelines, dashboards, and visualization solutions that support operational monitoring, analytics, and decision-making. This role works with enterprise monitoring platforms, cloud technologies, databases, APIs, and automation tools to collect, transform, and visualize operational data while ensuring data quality, reliability, and scalability. The ideal candidate has strong experience with Python, SQL, cloud-based data engineering, ETL/ELT processes, and data visualization, along with the ability to communicate technical findings to both technical and non-technical stakeholders. Responsibilities Work with enterprise monitoring tools including Grafana, Prometheus, and ServiceNow to integrate operational events, service impacts, and system metrics into dashboards and visualizations. Quickly learn and apply new enterprise monitoring, visualization, analytics, and data platforms as business needs evolve. Design, build, and maintain interactive dashboards, reports, charts, and visualizations that communicate operational performance and actionable insights. Translate monitoring and analysis results into meaningful operational metrics that support decision-making. Collect, clean, transform, and organize data from SQL/NoSQL databases, APIs, streaming services, and flat files to ensure accuracy, consistency, and reliability. Build, maintain, and optimize ETL/ELT pipelines and data ingestion workflows for centralized data repositories and reporting. Implement data validation and quality checks to maintain data integrity across data platforms. Develop scripts and automation to streamline repetitive tasks and improve operational efficiency. Investigate and troubleshoot data pipeline, observability, monitoring, and reporting issues independently and collaboratively. Collaborate with stakeholders, managers, analysts, and technical teams to translate business requirements into scalable data solutions. Maintain documentation for data systems, workflows, and business rules. Utilize Git for version control and follow established development best practices to support reliable deployment and maintenance of data solutions. Present technical findings to both technical and non-technical audiences. Collaborate with team members and share knowledge of tools, processes, and best practices. Analyze large datasets to identify trends, anomalies, and opportunities for operational improvement. Apply data modeling and data storytelling techniques to transform raw data into actionable insights. Perform other duties as assigned. Required Qualifications High School Diploma or GED equivalent with 8+ years of relevant experience OR: Associates degree and 6+ years experience OR: Bachelors Degree and 4+ years experience Experience designing and maintaining ETL/ELT pipelines. TS/SCI security clearance Successfully pass background and drug screening Preferred Qualifications: Experience designing and developing dashboards, reports, and data visualizations using tools such as Grafana, Power BI, Tableau, Kibana, or similar platforms. Experience automating data workflows using Apache Airflow or similar orchestration tools. Experience with cloud platforms and services such as AWS (S3, Lambda, Glue), Azure Data Factory, or Google BigQuery for data storage, processing, and orchestration. Familiarity with secure, scalable, and cost-effective cloud data solutions. Familiarity with CI/CD practices in data engineering environments. Knowledge, Skills, and Abilities: Strong knowledge of cloud environments (AWS, Azure, or GCP). Familiarity with data warehousing, data modeling, and version control systems (e.g., Git). Excellent analytical, organizational, and communication skills. Proficiency in Python, SQL, and working with RESTful APIs. Ability to work independently and yet be effective within a team setting Must be capable of managing multiple efforts with time-related constraints in a fast-paced contracting environment Demonstrated ability to effectively communicate and collaborate with diverse internal and external stakeholder groups and individuals Friendly presence, helpful attitude, good interpersonal skills, and ability to work well with others. Excellent skills in Microsoft Word, Excel, and other Office applications Proficient with Microsoft Office Applications, and experience working in a home office setting as well as the ability to train end users on frequently asked technical issues. Ability to provide technical assistance and support over the phone; good phone skills, professional demeanor, and previous customer service experience strongly desired. Good problem-solving skills; ability to visualize a problem/situation and think abstractly to solve it.
09/15/2026
Full time
Job Description Job Description At Pinnacle Business Strategies, our greatest asset is our team. We are a people-first, mission-driven organization built on a simple philosophy: when we invest deeply in our teammates, exceptional results naturally follow. We don't just talk about supportive culture; we live it by providing continuous learning opportunities and supporting your long-term career growth. When you join our team, you are not just taking a job; you are joining a collaborative community of top talent. Our daily work is fueled by a shared commitment to making a tangible impact. At Pinnacle Business Strategies, LLC, our mission is to empower organizations to achieve exceptional performance through innovative strategies and technology solutions. Together, we bring an entrepreneurial mindset to align cutting-edge technology, IT integration, and geospatial analytics to help solve complex challenges. If you are looking for a dynamic workplace that values your unique contributions and actively champions your development, Pinnacle is the place to build your future. The Data Engineer is responsible for designing, developing, and maintaining enterprise data pipelines, dashboards, and visualization solutions that support operational monitoring, analytics, and decision-making. This role works with enterprise monitoring platforms, cloud technologies, databases, APIs, and automation tools to collect, transform, and visualize operational data while ensuring data quality, reliability, and scalability. The ideal candidate has strong experience with Python, SQL, cloud-based data engineering, ETL/ELT processes, and data visualization, along with the ability to communicate technical findings to both technical and non-technical stakeholders. Responsibilities Work with enterprise monitoring tools including Grafana, Prometheus, and ServiceNow to integrate operational events, service impacts, and system metrics into dashboards and visualizations. Quickly learn and apply new enterprise monitoring, visualization, analytics, and data platforms as business needs evolve. Design, build, and maintain interactive dashboards, reports, charts, and visualizations that communicate operational performance and actionable insights. Translate monitoring and analysis results into meaningful operational metrics that support decision-making. Collect, clean, transform, and organize data from SQL/NoSQL databases, APIs, streaming services, and flat files to ensure accuracy, consistency, and reliability. Build, maintain, and optimize ETL/ELT pipelines and data ingestion workflows for centralized data repositories and reporting. Implement data validation and quality checks to maintain data integrity across data platforms. Develop scripts and automation to streamline repetitive tasks and improve operational efficiency. Investigate and troubleshoot data pipeline, observability, monitoring, and reporting issues independently and collaboratively. Collaborate with stakeholders, managers, analysts, and technical teams to translate business requirements into scalable data solutions. Maintain documentation for data systems, workflows, and business rules. Utilize Git for version control and follow established development best practices to support reliable deployment and maintenance of data solutions. Present technical findings to both technical and non-technical audiences. Collaborate with team members and share knowledge of tools, processes, and best practices. Analyze large datasets to identify trends, anomalies, and opportunities for operational improvement. Apply data modeling and data storytelling techniques to transform raw data into actionable insights. Perform other duties as assigned. Required Qualifications High School Diploma or GED equivalent with 8+ years of relevant experience OR: Associates degree and 6+ years experience OR: Bachelors Degree and 4+ years experience Experience designing and maintaining ETL/ELT pipelines. TS/SCI security clearance Successfully pass background and drug screening Preferred Qualifications: Experience designing and developing dashboards, reports, and data visualizations using tools such as Grafana, Power BI, Tableau, Kibana, or similar platforms. Experience automating data workflows using Apache Airflow or similar orchestration tools. Experience with cloud platforms and services such as AWS (S3, Lambda, Glue), Azure Data Factory, or Google BigQuery for data storage, processing, and orchestration. Familiarity with secure, scalable, and cost-effective cloud data solutions. Familiarity with CI/CD practices in data engineering environments. Knowledge, Skills, and Abilities: Strong knowledge of cloud environments (AWS, Azure, or GCP). Familiarity with data warehousing, data modeling, and version control systems (e.g., Git). Excellent analytical, organizational, and communication skills. Proficiency in Python, SQL, and working with RESTful APIs. Ability to work independently and yet be effective within a team setting Must be capable of managing multiple efforts with time-related constraints in a fast-paced contracting environment Demonstrated ability to effectively communicate and collaborate with diverse internal and external stakeholder groups and individuals Friendly presence, helpful attitude, good interpersonal skills, and ability to work well with others. Excellent skills in Microsoft Word, Excel, and other Office applications Proficient with Microsoft Office Applications, and experience working in a home office setting as well as the ability to train end users on frequently asked technical issues. Ability to provide technical assistance and support over the phone; good phone skills, professional demeanor, and previous customer service experience strongly desired. Good problem-solving skills; ability to visualize a problem/situation and think abstractly to solve it.
Job Description Job Description About Medical Guardian: Medical Guardian is a fast-growing digital health and safety company on a mission to help people live a life without limits. With 13 consecutive years on the Inc. 5000 list of Fastest Growing Companies, we are redefining what it means to age confidently and independently. We support over 625,000 members nationwide with life-saving emergency response systems and remote patient monitoring solutions. Trusted by families, healthcare providers, and care managers, our work is powered by a culture of innovation, compassion, and purpose. Mission: This role is focused on building and leading the data engineering foundation that powers real-time decisioning, operational applications, analytics, ML/AI model development, and data services across Medical Guardian. The Principal Data Engineer will own the design, delivery, and maturity of production-grade data pipelines and data platforms, with a primary emphasis on real-time streaming, IoT telemetry, Databricks, Azure, data services for APIs and microservices, and reliable data products for downstream consumption. Role Summary: We are looking for a Principal Data Engineer to serve as a hands-on technical and people leader for data engineering, data platform architecture, real-time streaming, and production data services. This role will focus on designing, building, operating, and improving data pipelines and data products while also bringing principal-level judgment to architecture, stakeholder shaping, delivery priorities, team management, and production readiness. This is a hands-on engineering leadership role first. The ideal candidate should be comfortable spending significant time working directly with Databricks, Spark, SQL, Python/PySpark, Azure services, streaming architectures, data quality frameworks, pipeline automation, CI/CD, and production troubleshooting. They should also be able to operate with the maturity of a principal-level leader: shaping unclear requirements, making pragmatic technical decisions, managing and mentoring engineers, and driving work forward without waiting for perfect specifications. This is a fast-moving, startup-like environment. Requirements may be incomplete, priorities may evolve, and the right candidate will help create clarity while building quickly. We need someone who can move from ambiguous business need to reliable data capability with urgency, discipline, and ownership. Stakeholder shaping is a critical part of this role. The Principal Data Engineer should be able to work directly with business, product, software engineering, analytics, ML/AI, operations, and leadership stakeholders to define what data needs to exist, how it should be consumed, what production guarantees are required, and how success should be measured. A background in commercial software, SaaS, digital products, healthtech, fintech, IoT, data platforms, or other product-driven environments is strongly preferred. We want someone who understands that data pipelines and data services are not just technical artifacts. They are product capabilities that support real users, real workflows, operational decisions, ML/AI systems, APIs, analytics, and measurable business outcomes. Key Responsibilities: Hands-On Data Engineering and Platform Development Design, build, optimize, and operate production-grade batch and streaming data pipelines on Azure and Databricks, with a primary focus on real-time IoT and telemetry use cases within a Medallion architecture. Develop ETL/ELT workflows to ingest, transform, validate, and serve large volumes of structured, semi-structured, unstructured, and streaming data. Build and maintain reliable data products, data services, APIs, and microservices that support operational applications, analytics, software engineering, and ML/AI teams. Use Python, PySpark, Spark SQL, SQL, Delta Lake, Databricks Workflows, CI/CD, and related tools to build maintainable, testable, and observable data systems. Troubleshoot complex production pipeline issues across Databricks, Azure, streaming systems, APIs, and source systems, including root cause analysis, corrective action, and prevention planning. Move quickly from rough business need to prototype, pilot, and production-ready data capability while maintaining appropriate engineering discipline. Real-Time Streaming, IoT Telemetry, and Operational Data Services Lead the design and delivery of real-time streaming ingestion and processing patterns for connected medical device telemetry, event data, and operational data feeds. Implement streaming solutions using Azure Event Hubs, Azure Stream Analytics, Databricks, Delta Lake, and related Azure integration patterns. Design cost-effective throughput, partitioning, delivery, retention, and replay strategies for high-volume event and telemetry workloads. Create consumption patterns that support APIs, microservices, operational applications, near-real-time decisioning, analytics, and ML/AI use cases. Define reliability, latency, quality, observability, and supportability expectations for production streaming systems. Databricks, Lakehouse, and Data Platform Architecture Set direction for Databricks-based data engineering patterns, including Medallion architecture, Delta Lake, Spark optimization, data modeling, data quality, and reusable pipeline design. Optimize production Databricks pipelines using PySpark, Spark SQL, Delta Lake, partitioning strategies, caching, shuffle optimization, cluster/job configuration, and cost-aware design. Establish practical standards for pipeline structure, code organization, testing, deployment, monitoring, documentation, and ownership. Partner with data platform, security, infrastructure, and engineering teams to ensure the data platform is scalable, secure, reliable, and aligned with enterprise architecture. Make pragmatic architecture tradeoffs between speed, durability, cost, governance, performance, and downstream business impact. Stakeholder Shaping and Cross-Functional Partnership Work directly with business, product, analytics, ML/AI, operations, software engineering, and leadership stakeholders to clarify what data is needed, why it matters, how it will be used, and what success looks like. Translate ambiguous business needs into concrete data requirements, data product definitions, architecture options, delivery priorities, and implementation plans. Ask practical questions early: who will use the data, what decision or workflow does it support, what latency and quality are required, what happens if the data is wrong or late, and how will we know the capability is creating value? Help the organization avoid becoming a data ticket factory by shaping solutions, not just executing requests. Communicate architecture decisions, tradeoffs, risks, dependencies, and delivery options clearly to technical and non-technical stakeholders. Team Management and Principal-Level Technical Leadership Manage, mentor, and develop data engineers, providing clear expectations, technical guidance, prioritization support, feedback, and accountability. Provide technical leadership through hands-on example, strong engineering judgment, clear recommendations, and pragmatic decision-making. Lead design reviews, code reviews, production readiness reviews, incident reviews, and architecture discussions across data engineering initiatives. Establish and improve engineering standards for data quality, testing, CI/CD, observability, documentation, runbooks, cost management, privacy, and security. Proactively identify platform risks, data gaps, unclear ownership, operational weaknesses, and opportunities to improve reliability, scalability, and delivery speed. Influence without relying only on formal authority by building trust, framing tradeoffs, and helping cross-functional teams get to decisions. ML/AI, Analytics, and GenAI Enablement Partner with ML engineers, data scientists, analytics engineers, and analysts to deliver reliable data pipelines, feature pipelines, training datasets, scoring inputs, and feedback loops. Support the data foundation for predictive models, risk scores, operational decisioning, GenAI workflows, RAG, document intelligence, summarization, and AI-enabled automation. Help define data contracts, model-ready datasets, feature definitions, lineage, and monitoring expectations for ML/AI and analytics use cases. Ensure downstream consumers understand the meaning, freshness, quality, limitations, and appropriate use of the data products they depend on. Governance, Data Quality, Security, and Production Operations Apply privacy-first, security-aware, and governance-aligned practices for regulated, sensitive, and operationally critical data. Design and implement data quality checks, validation rules, anomaly detection, schema expectations, alerting, and operational monitoring. Ensure production pipelines and services are supportable, observable, documented, recoverable, and aligned with business continuity needs. Drive incident response and continuous improvement for data platform and pipeline issues, including root cause analysis and preventative remediation. Balance innovation with reliability, compliance, privacy, cost discipline, and operational usefulness. Required Qualifications: 10+ years of professional experience in data engineering . click apply for full job details
09/15/2026
Full time
Job Description Job Description About Medical Guardian: Medical Guardian is a fast-growing digital health and safety company on a mission to help people live a life without limits. With 13 consecutive years on the Inc. 5000 list of Fastest Growing Companies, we are redefining what it means to age confidently and independently. We support over 625,000 members nationwide with life-saving emergency response systems and remote patient monitoring solutions. Trusted by families, healthcare providers, and care managers, our work is powered by a culture of innovation, compassion, and purpose. Mission: This role is focused on building and leading the data engineering foundation that powers real-time decisioning, operational applications, analytics, ML/AI model development, and data services across Medical Guardian. The Principal Data Engineer will own the design, delivery, and maturity of production-grade data pipelines and data platforms, with a primary emphasis on real-time streaming, IoT telemetry, Databricks, Azure, data services for APIs and microservices, and reliable data products for downstream consumption. Role Summary: We are looking for a Principal Data Engineer to serve as a hands-on technical and people leader for data engineering, data platform architecture, real-time streaming, and production data services. This role will focus on designing, building, operating, and improving data pipelines and data products while also bringing principal-level judgment to architecture, stakeholder shaping, delivery priorities, team management, and production readiness. This is a hands-on engineering leadership role first. The ideal candidate should be comfortable spending significant time working directly with Databricks, Spark, SQL, Python/PySpark, Azure services, streaming architectures, data quality frameworks, pipeline automation, CI/CD, and production troubleshooting. They should also be able to operate with the maturity of a principal-level leader: shaping unclear requirements, making pragmatic technical decisions, managing and mentoring engineers, and driving work forward without waiting for perfect specifications. This is a fast-moving, startup-like environment. Requirements may be incomplete, priorities may evolve, and the right candidate will help create clarity while building quickly. We need someone who can move from ambiguous business need to reliable data capability with urgency, discipline, and ownership. Stakeholder shaping is a critical part of this role. The Principal Data Engineer should be able to work directly with business, product, software engineering, analytics, ML/AI, operations, and leadership stakeholders to define what data needs to exist, how it should be consumed, what production guarantees are required, and how success should be measured. A background in commercial software, SaaS, digital products, healthtech, fintech, IoT, data platforms, or other product-driven environments is strongly preferred. We want someone who understands that data pipelines and data services are not just technical artifacts. They are product capabilities that support real users, real workflows, operational decisions, ML/AI systems, APIs, analytics, and measurable business outcomes. Key Responsibilities: Hands-On Data Engineering and Platform Development Design, build, optimize, and operate production-grade batch and streaming data pipelines on Azure and Databricks, with a primary focus on real-time IoT and telemetry use cases within a Medallion architecture. Develop ETL/ELT workflows to ingest, transform, validate, and serve large volumes of structured, semi-structured, unstructured, and streaming data. Build and maintain reliable data products, data services, APIs, and microservices that support operational applications, analytics, software engineering, and ML/AI teams. Use Python, PySpark, Spark SQL, SQL, Delta Lake, Databricks Workflows, CI/CD, and related tools to build maintainable, testable, and observable data systems. Troubleshoot complex production pipeline issues across Databricks, Azure, streaming systems, APIs, and source systems, including root cause analysis, corrective action, and prevention planning. Move quickly from rough business need to prototype, pilot, and production-ready data capability while maintaining appropriate engineering discipline. Real-Time Streaming, IoT Telemetry, and Operational Data Services Lead the design and delivery of real-time streaming ingestion and processing patterns for connected medical device telemetry, event data, and operational data feeds. Implement streaming solutions using Azure Event Hubs, Azure Stream Analytics, Databricks, Delta Lake, and related Azure integration patterns. Design cost-effective throughput, partitioning, delivery, retention, and replay strategies for high-volume event and telemetry workloads. Create consumption patterns that support APIs, microservices, operational applications, near-real-time decisioning, analytics, and ML/AI use cases. Define reliability, latency, quality, observability, and supportability expectations for production streaming systems. Databricks, Lakehouse, and Data Platform Architecture Set direction for Databricks-based data engineering patterns, including Medallion architecture, Delta Lake, Spark optimization, data modeling, data quality, and reusable pipeline design. Optimize production Databricks pipelines using PySpark, Spark SQL, Delta Lake, partitioning strategies, caching, shuffle optimization, cluster/job configuration, and cost-aware design. Establish practical standards for pipeline structure, code organization, testing, deployment, monitoring, documentation, and ownership. Partner with data platform, security, infrastructure, and engineering teams to ensure the data platform is scalable, secure, reliable, and aligned with enterprise architecture. Make pragmatic architecture tradeoffs between speed, durability, cost, governance, performance, and downstream business impact. Stakeholder Shaping and Cross-Functional Partnership Work directly with business, product, analytics, ML/AI, operations, software engineering, and leadership stakeholders to clarify what data is needed, why it matters, how it will be used, and what success looks like. Translate ambiguous business needs into concrete data requirements, data product definitions, architecture options, delivery priorities, and implementation plans. Ask practical questions early: who will use the data, what decision or workflow does it support, what latency and quality are required, what happens if the data is wrong or late, and how will we know the capability is creating value? Help the organization avoid becoming a data ticket factory by shaping solutions, not just executing requests. Communicate architecture decisions, tradeoffs, risks, dependencies, and delivery options clearly to technical and non-technical stakeholders. Team Management and Principal-Level Technical Leadership Manage, mentor, and develop data engineers, providing clear expectations, technical guidance, prioritization support, feedback, and accountability. Provide technical leadership through hands-on example, strong engineering judgment, clear recommendations, and pragmatic decision-making. Lead design reviews, code reviews, production readiness reviews, incident reviews, and architecture discussions across data engineering initiatives. Establish and improve engineering standards for data quality, testing, CI/CD, observability, documentation, runbooks, cost management, privacy, and security. Proactively identify platform risks, data gaps, unclear ownership, operational weaknesses, and opportunities to improve reliability, scalability, and delivery speed. Influence without relying only on formal authority by building trust, framing tradeoffs, and helping cross-functional teams get to decisions. ML/AI, Analytics, and GenAI Enablement Partner with ML engineers, data scientists, analytics engineers, and analysts to deliver reliable data pipelines, feature pipelines, training datasets, scoring inputs, and feedback loops. Support the data foundation for predictive models, risk scores, operational decisioning, GenAI workflows, RAG, document intelligence, summarization, and AI-enabled automation. Help define data contracts, model-ready datasets, feature definitions, lineage, and monitoring expectations for ML/AI and analytics use cases. Ensure downstream consumers understand the meaning, freshness, quality, limitations, and appropriate use of the data products they depend on. Governance, Data Quality, Security, and Production Operations Apply privacy-first, security-aware, and governance-aligned practices for regulated, sensitive, and operationally critical data. Design and implement data quality checks, validation rules, anomaly detection, schema expectations, alerting, and operational monitoring. Ensure production pipelines and services are supportable, observable, documented, recoverable, and aligned with business continuity needs. Drive incident response and continuous improvement for data platform and pipeline issues, including root cause analysis and preventative remediation. Balance innovation with reliability, compliance, privacy, cost discipline, and operational usefulness. Required Qualifications: 10+ years of professional experience in data engineering . click apply for full job details
Role Summary A large enterprise organization with a mature Workday environment is seeking a Senior Workday HRIS Reporting Analyst to support the design, development, and optimization of Workday Reporting and Workday Prism Analytics solutions. This role is responsible for designing, building, testing, and maintaining enterprise Workday reports, dashboards, and analytics while ensuring data accuracy, system performance, and compliance with organizational reporting standards. The position partners closely with HR, Payroll, Finance, IT, and business stakeholders to deliver scalable reporting solutions and actionable insights that support strategic decision-making. The ideal candidate brings deep expertise in Workday Reporting, hands-on Workday Prism Analytics experience, strong analytical skills, and the ability to translate complex business requirements into user-friendly reporting solutions. Key Responsibilities Workday Reporting & Analytics Design, build, test, and maintain Workday reports, including: Advanced Reports Matrix Reports Composite Reports Custom Reports utilizing Calculated Fields Develop and maintain Dashboards, Discovery Boards, Worksheets, and BIRT reports. Translate business requirements into scalable, user-friendly reporting and analytics solutions. Build and maintain calculated fields, report prompts, and reporting logic to support business needs. Optimize report performance, usability, and consistency across the Workday environment. Workday Prism Analytics Develop and support Workday Prism Analytics solutions for enterprise reporting and data visualization. Build, maintain, and enhance multiple Prism use cases within production environments. Support data preparation, transformation, and visualization for business reporting initiatives. Collaborate with stakeholders to identify opportunities for advanced analytics and reporting improvements. Reporting, Data Management & Governance Partner with HR, Payroll, Finance, Benefits, and IT teams to gather reporting requirements and deliver actionable insights. Ensure data accuracy, consistency, and integrity across Workday reporting solutions. Maintain compliance with Workday security roles, governance standards, and enterprise reporting policies. Support regulatory, audit, and compliance reporting requirements, including internal audits and workforce reporting. Promote reporting standards, data governance best practices, and self-service analytics. System Support & Continuous Improvement Troubleshoot reporting issues, perform root-cause analysis, and recommend long-term solutions. Support Workday releases by performing impact analysis, testing, and implementing reporting enhancements. Create documentation, job aids, and user training materials. Provide ongoing support for internal reporting requests and dashboard development. Identify opportunities to improve reporting efficiency, automation, and user experience. Required Qualifications Bachelor's degree or equivalent combination of education and experience. 5+ years of experience supporting HRIS, Analytics, HR, Finance, Information Systems, or a related field. Strong hands-on experience designing, building, testing, and maintaining Workday reports. Extensive experience with Workday Prism Analytics, including creating and supporting multiple production use cases. 2+ years of experience developing custom Workday reports using: Report Writer Calculated Fields Dashboards Advanced Excel Strong expertise with: Advanced Reports Matrix Reports Composite Reports Custom Reports Calculated Fields Experience working with Discovery Boards, Worksheets, and BIRT reporting. Solid understanding of Workday business processes, data structures, and reporting architecture. Experience optimizing report performance and supporting enterprise reporting standards. Strong analytical, troubleshooting, and problem-solving skills. Ability to communicate technical concepts effectively to both technical and non-technical stakeholders. Experience handling sensitive and confidential employee data. Ability to manage multiple priorities in a fast-paced enterprise environment. Preferred Qualifications Workday Pro Reporting Certification. Workday Prism Analytics Certification. Experience supporting Workday HCM, Payroll, and Benefits modules. Experience with Discovery Boards and modern data visualization best practices. Familiarity with enterprise data governance, privacy, and security principles. Experience supporting large-scale Workday environments with multiple tenants. Working knowledge of BIRT report development. Compensation & Work Model Employment Type: Direct-hire, full-time Work Model: (Hybrid/Remote/Onsite to be confirmed) Relocation: (If applicable) Visa Sponsorship: (To be confirmed) Work Authorization: Must be legally authorized to work in the United States. Suggested Pre-Screen Questions Workday Prism Analytics Can you describe your experience with Workday Prism Analytics ? Approximately how many Prism use cases have you supported in a production environment? How was the Prism data transformed, analyzed, or visualized for the business? Workday Reporting What types of Workday reports have you built, and which business functions did you support (HR, Payroll, Finance, Benefits, etc.)? Tell me about the most complex report you've developed in Workday. Technical Knowledge If you need to modify a standard Workday report, what is the recommended approach? Expected Answer: Copy the Standard Report to a Custom Report. What calculated field type would you use to retrieve data from a related business object? Expected Answer: Lookup Related Value (LRV). How would you verify whether a user has access to a report field or data source? Expected Answer: View Security for Security Item. Additional Technical Experience What experience do you have with Discovery Boards , Worksheets , or BIRT reporting ? Have you participated in Workday release testing or reporting enhancements? How do you troubleshoot report performance or data discrepancies in Workday? This version follows the same structure and level of detail as your Workday Technology Manager template while anonymizing company-specific language, improving readability, and emphasizing the primary focus of the role: Workday Reporting , Workday Prism Analytics , and BIRT reporting .
09/15/2026
Role Summary A large enterprise organization with a mature Workday environment is seeking a Senior Workday HRIS Reporting Analyst to support the design, development, and optimization of Workday Reporting and Workday Prism Analytics solutions. This role is responsible for designing, building, testing, and maintaining enterprise Workday reports, dashboards, and analytics while ensuring data accuracy, system performance, and compliance with organizational reporting standards. The position partners closely with HR, Payroll, Finance, IT, and business stakeholders to deliver scalable reporting solutions and actionable insights that support strategic decision-making. The ideal candidate brings deep expertise in Workday Reporting, hands-on Workday Prism Analytics experience, strong analytical skills, and the ability to translate complex business requirements into user-friendly reporting solutions. Key Responsibilities Workday Reporting & Analytics Design, build, test, and maintain Workday reports, including: Advanced Reports Matrix Reports Composite Reports Custom Reports utilizing Calculated Fields Develop and maintain Dashboards, Discovery Boards, Worksheets, and BIRT reports. Translate business requirements into scalable, user-friendly reporting and analytics solutions. Build and maintain calculated fields, report prompts, and reporting logic to support business needs. Optimize report performance, usability, and consistency across the Workday environment. Workday Prism Analytics Develop and support Workday Prism Analytics solutions for enterprise reporting and data visualization. Build, maintain, and enhance multiple Prism use cases within production environments. Support data preparation, transformation, and visualization for business reporting initiatives. Collaborate with stakeholders to identify opportunities for advanced analytics and reporting improvements. Reporting, Data Management & Governance Partner with HR, Payroll, Finance, Benefits, and IT teams to gather reporting requirements and deliver actionable insights. Ensure data accuracy, consistency, and integrity across Workday reporting solutions. Maintain compliance with Workday security roles, governance standards, and enterprise reporting policies. Support regulatory, audit, and compliance reporting requirements, including internal audits and workforce reporting. Promote reporting standards, data governance best practices, and self-service analytics. System Support & Continuous Improvement Troubleshoot reporting issues, perform root-cause analysis, and recommend long-term solutions. Support Workday releases by performing impact analysis, testing, and implementing reporting enhancements. Create documentation, job aids, and user training materials. Provide ongoing support for internal reporting requests and dashboard development. Identify opportunities to improve reporting efficiency, automation, and user experience. Required Qualifications Bachelor's degree or equivalent combination of education and experience. 5+ years of experience supporting HRIS, Analytics, HR, Finance, Information Systems, or a related field. Strong hands-on experience designing, building, testing, and maintaining Workday reports. Extensive experience with Workday Prism Analytics, including creating and supporting multiple production use cases. 2+ years of experience developing custom Workday reports using: Report Writer Calculated Fields Dashboards Advanced Excel Strong expertise with: Advanced Reports Matrix Reports Composite Reports Custom Reports Calculated Fields Experience working with Discovery Boards, Worksheets, and BIRT reporting. Solid understanding of Workday business processes, data structures, and reporting architecture. Experience optimizing report performance and supporting enterprise reporting standards. Strong analytical, troubleshooting, and problem-solving skills. Ability to communicate technical concepts effectively to both technical and non-technical stakeholders. Experience handling sensitive and confidential employee data. Ability to manage multiple priorities in a fast-paced enterprise environment. Preferred Qualifications Workday Pro Reporting Certification. Workday Prism Analytics Certification. Experience supporting Workday HCM, Payroll, and Benefits modules. Experience with Discovery Boards and modern data visualization best practices. Familiarity with enterprise data governance, privacy, and security principles. Experience supporting large-scale Workday environments with multiple tenants. Working knowledge of BIRT report development. Compensation & Work Model Employment Type: Direct-hire, full-time Work Model: (Hybrid/Remote/Onsite to be confirmed) Relocation: (If applicable) Visa Sponsorship: (To be confirmed) Work Authorization: Must be legally authorized to work in the United States. Suggested Pre-Screen Questions Workday Prism Analytics Can you describe your experience with Workday Prism Analytics ? Approximately how many Prism use cases have you supported in a production environment? How was the Prism data transformed, analyzed, or visualized for the business? Workday Reporting What types of Workday reports have you built, and which business functions did you support (HR, Payroll, Finance, Benefits, etc.)? Tell me about the most complex report you've developed in Workday. Technical Knowledge If you need to modify a standard Workday report, what is the recommended approach? Expected Answer: Copy the Standard Report to a Custom Report. What calculated field type would you use to retrieve data from a related business object? Expected Answer: Lookup Related Value (LRV). How would you verify whether a user has access to a report field or data source? Expected Answer: View Security for Security Item. Additional Technical Experience What experience do you have with Discovery Boards , Worksheets , or BIRT reporting ? Have you participated in Workday release testing or reporting enhancements? How do you troubleshoot report performance or data discrepancies in Workday? This version follows the same structure and level of detail as your Workday Technology Manager template while anonymizing company-specific language, improving readability, and emphasizing the primary focus of the role: Workday Reporting , Workday Prism Analytics , and BIRT reporting .
Job Description Job Description Client Overview: Our client is seeking a senior-level Service Desk professional to play a critical role in both end-user support and IT service management platform administration. This position offers a unique opportunity to help shape and optimize the organization's Freshservice environment while supporting high-visibility customers and driving ITSM process improvements. Overview: The Senior Service Desk Analyst / Freshservice Administrator will serve as a technical escalation point for complex support issues while leading the configuration, administration, and continuous improvement of the Freshservice platform. This role combines hands-on technical troubleshooting with ITSM platform ownership to improve service delivery, operational efficiency, and user experience. Summary: We are seeking a highly experienced Service Desk professional with deep technical support expertise and direct Freshservice administration experience. The ideal candidate will be comfortable supporting executives and critical business users, resolving complex technical issues, and designing scalable ITSM processes within Freshservice. Success in this role requires a strong customer-service mindset, technical troubleshooting skills, and the ability to translate operational requirements into effective workflows, automations, and service management solutions. Responsibilities: Serve as a senior escalation point for complex endpoint, Microsoft 365, mobility, application, and connectivity-related support issues. Provide executive and VIP support while maintaining exceptional customer service and communication. Lead major incident communications and coordinate issue resolution across internal teams. Administer, configure, and enhance the Freshservice ITSM platform to support business and operational requirements. Design and maintain service catalogs, request workflows, approval processes, SLAs, and portal experiences. Develop and manage workflow automations to improve efficiency and service delivery. Configure and maintain reporting, dashboards, metrics, and knowledge management resources within Freshservice. Support and improve ITSM processes across Incident, Request, Problem, Change, Asset Management, and CMDB functions. Maintain CMDB integrity and promote strong data governance practices. Partner with stakeholders to translate operational needs into scalable Freshservice solutions. Support integrations between Freshservice and enterprise systems, including identity management, endpoint management, collaboration tools, and related platforms. Analyze support trends, recurring issues, and platform data to identify continuous improvement opportunities. Develop recommendations that improve workflows, reduce support volume, and enhance the customer experience. Coach Service Desk team members on process adoption, ticket quality, and consistent ITSM execution. Participate in platform implementation, administration, and enhancement projects. Qualifications: Bachelor's degree in Information Technology, Computer Science, Information Systems, or a related field preferred; equivalent experience will be considered. 5+ years of progressive IT support or Service Desk experience in enterprise environments. Strong experience troubleshooting Windows endpoints, Microsoft 365, mobility platforms, business applications, networking, and connectivity issues. Demonstrated Freshservice administration experience, including platform configuration and ongoing support. Experience designing and managing service catalogs, workflows, automations, approvals, SLAs, dashboards, reports, and knowledge bases within Freshservice. Strong understanding of ITSM processes, including Incident, Request, Problem, Change, Asset Management, and CMDB administration. Experience with CMDB governance, asset management, and data quality best practices. Experience supporting executive and VIP users in high-visibility environments. Ability to own escalations and lead communication during major incidents. Experience integrating ITSM platforms with identity management, endpoint management, collaboration, and business systems preferred. Working knowledge of APIs, integrations, and automation technologies preferred. Strong analytical, troubleshooting, and problem-solving skills. Excellent verbal and written communication skills. Experience utilizing service metrics and operational reporting to drive continuous improvement initiatives. ITIL Foundation certification preferred. Experience implementing or enhancing Freshservice environments strongly preferred. No travel requirements specified. TRC Talent Solutions is proud to be an Equal Opportunity Employer (EOE). All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law. At TRC, we take pride in fulfilling our opportunity to add value to our client's business as their staffing partner while connecting talented professionals with opportunities to grow their careers.
09/15/2026
Full time
Job Description Job Description Client Overview: Our client is seeking a senior-level Service Desk professional to play a critical role in both end-user support and IT service management platform administration. This position offers a unique opportunity to help shape and optimize the organization's Freshservice environment while supporting high-visibility customers and driving ITSM process improvements. Overview: The Senior Service Desk Analyst / Freshservice Administrator will serve as a technical escalation point for complex support issues while leading the configuration, administration, and continuous improvement of the Freshservice platform. This role combines hands-on technical troubleshooting with ITSM platform ownership to improve service delivery, operational efficiency, and user experience. Summary: We are seeking a highly experienced Service Desk professional with deep technical support expertise and direct Freshservice administration experience. The ideal candidate will be comfortable supporting executives and critical business users, resolving complex technical issues, and designing scalable ITSM processes within Freshservice. Success in this role requires a strong customer-service mindset, technical troubleshooting skills, and the ability to translate operational requirements into effective workflows, automations, and service management solutions. Responsibilities: Serve as a senior escalation point for complex endpoint, Microsoft 365, mobility, application, and connectivity-related support issues. Provide executive and VIP support while maintaining exceptional customer service and communication. Lead major incident communications and coordinate issue resolution across internal teams. Administer, configure, and enhance the Freshservice ITSM platform to support business and operational requirements. Design and maintain service catalogs, request workflows, approval processes, SLAs, and portal experiences. Develop and manage workflow automations to improve efficiency and service delivery. Configure and maintain reporting, dashboards, metrics, and knowledge management resources within Freshservice. Support and improve ITSM processes across Incident, Request, Problem, Change, Asset Management, and CMDB functions. Maintain CMDB integrity and promote strong data governance practices. Partner with stakeholders to translate operational needs into scalable Freshservice solutions. Support integrations between Freshservice and enterprise systems, including identity management, endpoint management, collaboration tools, and related platforms. Analyze support trends, recurring issues, and platform data to identify continuous improvement opportunities. Develop recommendations that improve workflows, reduce support volume, and enhance the customer experience. Coach Service Desk team members on process adoption, ticket quality, and consistent ITSM execution. Participate in platform implementation, administration, and enhancement projects. Qualifications: Bachelor's degree in Information Technology, Computer Science, Information Systems, or a related field preferred; equivalent experience will be considered. 5+ years of progressive IT support or Service Desk experience in enterprise environments. Strong experience troubleshooting Windows endpoints, Microsoft 365, mobility platforms, business applications, networking, and connectivity issues. Demonstrated Freshservice administration experience, including platform configuration and ongoing support. Experience designing and managing service catalogs, workflows, automations, approvals, SLAs, dashboards, reports, and knowledge bases within Freshservice. Strong understanding of ITSM processes, including Incident, Request, Problem, Change, Asset Management, and CMDB administration. Experience with CMDB governance, asset management, and data quality best practices. Experience supporting executive and VIP users in high-visibility environments. Ability to own escalations and lead communication during major incidents. Experience integrating ITSM platforms with identity management, endpoint management, collaboration, and business systems preferred. Working knowledge of APIs, integrations, and automation technologies preferred. Strong analytical, troubleshooting, and problem-solving skills. Excellent verbal and written communication skills. Experience utilizing service metrics and operational reporting to drive continuous improvement initiatives. ITIL Foundation certification preferred. Experience implementing or enhancing Freshservice environments strongly preferred. No travel requirements specified. TRC Talent Solutions is proud to be an Equal Opportunity Employer (EOE). All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law. At TRC, we take pride in fulfilling our opportunity to add value to our client's business as their staffing partner while connecting talented professionals with opportunities to grow their careers.
Enterprise Bank & Trust seeks a Regulatory Reporting Analyst to ensure timely, accurate financial and regulatory reports for banking regulators and internal stakeholders. In this role, you will gather and reconcile data across systems, prepare and review regulatory filings, analyze variances, and support audits and examinations. You'll collaborate with finance, risk, and operations teams, helping maintain strong internal controls and data quality. Join a relationship-focused bank that values integrity, community impact, and offers professional growth in commercial and community banking and wealth management. Responsibilities Prepare accurate and timely regulatory and financial reports for banking regulators and internal stakeholders. Gather, validate, and reconcile data from multiple banking and financial systems. Analyze variances and trends in regulatory and financial reports and escalate issues as needed. Maintain documentation to support filings and respond to regulatory and audit inquiries. Partner with finance, risk, and operations teams to improve reporting processes and data quality. Support internal controls, testing, and remediation related to regulatory reporting. Assist with process automation and reporting enhancements. Required Skills Regulatory reporting Financial analysis Data reconciliation Excel (advanced) SQL or data query tools Knowledge of banking regulations (e.g., FFIEC, FR Y-9 C, Call Reports) Risk and compliance documentation Internal controls implementation Report automation tools Stakeholder communication
09/14/2026
Full time
Enterprise Bank & Trust seeks a Regulatory Reporting Analyst to ensure timely, accurate financial and regulatory reports for banking regulators and internal stakeholders. In this role, you will gather and reconcile data across systems, prepare and review regulatory filings, analyze variances, and support audits and examinations. You'll collaborate with finance, risk, and operations teams, helping maintain strong internal controls and data quality. Join a relationship-focused bank that values integrity, community impact, and offers professional growth in commercial and community banking and wealth management. Responsibilities Prepare accurate and timely regulatory and financial reports for banking regulators and internal stakeholders. Gather, validate, and reconcile data from multiple banking and financial systems. Analyze variances and trends in regulatory and financial reports and escalate issues as needed. Maintain documentation to support filings and respond to regulatory and audit inquiries. Partner with finance, risk, and operations teams to improve reporting processes and data quality. Support internal controls, testing, and remediation related to regulatory reporting. Assist with process automation and reporting enhancements. Required Skills Regulatory reporting Financial analysis Data reconciliation Excel (advanced) SQL or data query tools Knowledge of banking regulations (e.g., FFIEC, FR Y-9 C, Call Reports) Risk and compliance documentation Internal controls implementation Report automation tools Stakeholder communication
Enterprise Bank & Trust seeks a Regulatory Reporting Analyst to ensure timely, accurate financial and regulatory reports for banking regulators and internal stakeholders. In this role, you will gather and reconcile data across systems, prepare and review regulatory filings, analyze variances, and support audits and examinations. You'll collaborate with finance, risk, and operations teams, helping maintain strong internal controls and data quality. Join a relationship-focused bank that values integrity, community impact, and offers professional growth in commercial and community banking and wealth management. Responsibilities Prepare accurate and timely regulatory and financial reports for banking regulators and internal stakeholders. Gather, validate, and reconcile data from multiple banking and financial systems. Analyze variances and trends in regulatory and financial reports and escalate issues as needed. Maintain documentation to support filings and respond to regulatory and audit inquiries. Partner with finance, risk, and operations teams to improve reporting processes and data quality. Support internal controls, testing, and remediation related to regulatory reporting. Assist with process automation and reporting enhancements. Required Skills Regulatory reporting Financial analysis Data reconciliation Excel (advanced) SQL or data query tools Knowledge of banking regulations (e.g., FFIEC, FR Y-9 C, Call Reports) Risk and compliance documentation Internal controls implementation Report automation tools Stakeholder communication
09/14/2026
Full time
Enterprise Bank & Trust seeks a Regulatory Reporting Analyst to ensure timely, accurate financial and regulatory reports for banking regulators and internal stakeholders. In this role, you will gather and reconcile data across systems, prepare and review regulatory filings, analyze variances, and support audits and examinations. You'll collaborate with finance, risk, and operations teams, helping maintain strong internal controls and data quality. Join a relationship-focused bank that values integrity, community impact, and offers professional growth in commercial and community banking and wealth management. Responsibilities Prepare accurate and timely regulatory and financial reports for banking regulators and internal stakeholders. Gather, validate, and reconcile data from multiple banking and financial systems. Analyze variances and trends in regulatory and financial reports and escalate issues as needed. Maintain documentation to support filings and respond to regulatory and audit inquiries. Partner with finance, risk, and operations teams to improve reporting processes and data quality. Support internal controls, testing, and remediation related to regulatory reporting. Assist with process automation and reporting enhancements. Required Skills Regulatory reporting Financial analysis Data reconciliation Excel (advanced) SQL or data query tools Knowledge of banking regulations (e.g., FFIEC, FR Y-9 C, Call Reports) Risk and compliance documentation Internal controls implementation Report automation tools Stakeholder communication
Enterprise Bank & Trust seeks a Regulatory Reporting Analyst to ensure timely, accurate financial and regulatory reports for banking regulators and internal stakeholders. In this role, you will gather and reconcile data across systems, prepare and review regulatory filings, analyze variances, and support audits and examinations. You'll collaborate with finance, risk, and operations teams, helping maintain strong internal controls and data quality. Join a relationship-focused bank that values integrity, community impact, and offers professional growth in commercial and community banking and wealth management. Responsibilities Prepare accurate and timely regulatory and financial reports for banking regulators and internal stakeholders. Gather, validate, and reconcile data from multiple banking and financial systems. Analyze variances and trends in regulatory and financial reports and escalate issues as needed. Maintain documentation to support filings and respond to regulatory and audit inquiries. Partner with finance, risk, and operations teams to improve reporting processes and data quality. Support internal controls, testing, and remediation related to regulatory reporting. Assist with process automation and reporting enhancements. Required Skills Regulatory reporting Financial analysis Data reconciliation Excel (advanced) SQL or data query tools Knowledge of banking regulations (e.g., FFIEC, FR Y-9 C, Call Reports) Risk and compliance documentation Internal controls implementation Report automation tools Stakeholder communication
09/14/2026
Full time
Enterprise Bank & Trust seeks a Regulatory Reporting Analyst to ensure timely, accurate financial and regulatory reports for banking regulators and internal stakeholders. In this role, you will gather and reconcile data across systems, prepare and review regulatory filings, analyze variances, and support audits and examinations. You'll collaborate with finance, risk, and operations teams, helping maintain strong internal controls and data quality. Join a relationship-focused bank that values integrity, community impact, and offers professional growth in commercial and community banking and wealth management. Responsibilities Prepare accurate and timely regulatory and financial reports for banking regulators and internal stakeholders. Gather, validate, and reconcile data from multiple banking and financial systems. Analyze variances and trends in regulatory and financial reports and escalate issues as needed. Maintain documentation to support filings and respond to regulatory and audit inquiries. Partner with finance, risk, and operations teams to improve reporting processes and data quality. Support internal controls, testing, and remediation related to regulatory reporting. Assist with process automation and reporting enhancements. Required Skills Regulatory reporting Financial analysis Data reconciliation Excel (advanced) SQL or data query tools Knowledge of banking regulations (e.g., FFIEC, FR Y-9 C, Call Reports) Risk and compliance documentation Internal controls implementation Report automation tools Stakeholder communication
Enterprise Bank & Trust seeks a Regulatory Reporting Analyst to ensure timely, accurate financial and regulatory reports for banking regulators and internal stakeholders. In this role, you will gather and reconcile data across systems, prepare and review regulatory filings, analyze variances, and support audits and examinations. You'll collaborate with finance, risk, and operations teams, helping maintain strong internal controls and data quality. Join a relationship-focused bank that values integrity, community impact, and offers professional growth in commercial and community banking and wealth management. Responsibilities Prepare accurate and timely regulatory and financial reports for banking regulators and internal stakeholders. Gather, validate, and reconcile data from multiple banking and financial systems. Analyze variances and trends in regulatory and financial reports and escalate issues as needed. Maintain documentation to support filings and respond to regulatory and audit inquiries. Partner with finance, risk, and operations teams to improve reporting processes and data quality. Support internal controls, testing, and remediation related to regulatory reporting. Assist with process automation and reporting enhancements. Required Skills Regulatory reporting Financial analysis Data reconciliation Excel (advanced) SQL or data query tools Knowledge of banking regulations (e.g., FFIEC, FR Y-9 C, Call Reports) Risk and compliance documentation Internal controls implementation Report automation tools Stakeholder communication
09/14/2026
Full time
Enterprise Bank & Trust seeks a Regulatory Reporting Analyst to ensure timely, accurate financial and regulatory reports for banking regulators and internal stakeholders. In this role, you will gather and reconcile data across systems, prepare and review regulatory filings, analyze variances, and support audits and examinations. You'll collaborate with finance, risk, and operations teams, helping maintain strong internal controls and data quality. Join a relationship-focused bank that values integrity, community impact, and offers professional growth in commercial and community banking and wealth management. Responsibilities Prepare accurate and timely regulatory and financial reports for banking regulators and internal stakeholders. Gather, validate, and reconcile data from multiple banking and financial systems. Analyze variances and trends in regulatory and financial reports and escalate issues as needed. Maintain documentation to support filings and respond to regulatory and audit inquiries. Partner with finance, risk, and operations teams to improve reporting processes and data quality. Support internal controls, testing, and remediation related to regulatory reporting. Assist with process automation and reporting enhancements. Required Skills Regulatory reporting Financial analysis Data reconciliation Excel (advanced) SQL or data query tools Knowledge of banking regulations (e.g., FFIEC, FR Y-9 C, Call Reports) Risk and compliance documentation Internal controls implementation Report automation tools Stakeholder communication
