Job Description Job Description Role Purpose Seeking a Grade D Data Privacy & AI Governance Expert to shape and lead enterprise privacy, data governance and responsible AI transformations. The role translates FTC obligations, privacy commitments, and related U.S. requirements into practical operating models, platform-enabled controls, and audit-ready evidence. This leader will use AI and agentic capabilities to accelerate governance while establishing the policies, accountable ownership, technical controls, and human oversight required to govern AI systems and autonomous agents responsibly. Your Role Advise CDO, CIO, CTO, Legal, Privacy, Risk, Security, Compliance, and business leaders; lead executive workshops and convert ambiguous obligations into strategies, roadmaps, architectures, investment choices, and measurable outcomes. Lead FTC-aligned privacy and data-protection assessments covering data inventories and flows, privacy notices and commitments, consent and preference management, collection and purpose limitation, sensitive data, retention and deletion, access controls, third parties, incident response, monitoring, and substantiation of claims. Design privacy-by-design and governance operating models, decision rights, policies, standards, controls, RACI models, escalation paths, evidence requirements, KPIs, and remediation portfolios across complex global environments. Lead platform evaluation, architecture, implementation assurance, and integration across data catalogs, privacy management, lineage, data quality, MDM, observability, GRC, cloud, and AI governance capabilities. Own solution quality, design authority, delivery risk, executive communications, and stakeholder alignment; mentor practitioners and create reusable methods, accelerators, and thought leadership. FTC, Privacy, and Regulatory Capabilities Deep understanding of the FTC Act's unfair or deceptive practices standard and practical application to privacy, security, advertising, and AI-related representations; ability to translate enforcement themes, consent orders, and business guidance into control objectives and evidence. Working knowledge of relevant U.S. privacy and sector obligations, including state comprehensive privacy laws, COPPA, FCRA, GLBA Safeguards, Health Breach Notification, and breach-response requirements, with the judgment to engage legal counsel for formal interpretation. Experience with privacy program operations: records of processing, data mapping, DPIAs/PIAs, rights requests, consent, cookies and tracking, vendor risk, retention, deletion, de-identification, incident readiness, training, metrics, control testing, and audit support. AI for Governance Governance for AI Apply GenAI and agents to Client and classify data, enrich metadata, map obligations to policies and controls, draft privacy assessments, recommend quality rules, triage issues, collect evidence, and continuously monitor control performance. Design progressive autonomy with confidence thresholds, least privilege, human-in-the-loop or human-on-the-loop approvals, segregation of duties, exception routing, traceability, observability, rollback, and named accountability. Operationalize AI governance across use-case intake, risk tiering, data and RAG readiness, model and agent inventory, privacy and security review, evaluation, deployment gates, monitoring, incidents, recertification, retirement, and third parties. Address training-data and prompt privacy, confidential-data use, provenance, purpose limitation, data minimization, output risks, bias, explainability, agent identity, tool permissions, prompt injection, data leakage, unsafe action, and cascading failures. Data Privacy & AI Governance Expert Data Governance and Privacy Platform Expertise Architecture and implementation knowledge across several leading platforms such as OneTrust, BigID, Securiti, TrustArc, Informatica IDMC/CDGC, Collibra, Alation, Ataccama, Atlan, Microsoft Purview, IBM watsonx.governance, Databricks Unity Catalog, and comparable cloud-native governance, privacy, quality, MDM, and AI governance services. Ability to compare capabilities without platform bias and design interoperable patterns for metadata, lineage, classification, consent, rights, retention, policy enforcement, risk and control mapping, workflow, evidence, and reporting. Integration experience across multi-cloud, lakehouse, warehouse, ERP, CRM, SaaS, MDM, and on-premises landscapes using APIs, events, batch, semantic layers, knowledge graphs, policy-as-code, and governed agent tool access. Required Experience and Capabilities Typically 10 years in privacy, data governance, risk, compliance, data management, architecture, or consulting, including leadership of complex enterprise programs and multiple implementation lifecycles. Demonstrated success operationalizing privacy obligations and commitments through processes, controls, technology, and evidence; experience supporting regulatory readiness, investigations, audits, or remediation is strongly preferred. Hands-on credibility with data governance and privacy platforms, data architectures, and AI lifecycle controls; working knowledge of RAG, agent orchestration, MCP/tool use, semantic models, knowledge graphs, evaluation, and monitoring. Executive communication, consulting, facilitation, negotiation, proposal shaping, estimation, delivery governance, and leadership across legal, business, security, data, cloud, and AI teams. Bachelor's degree in Law, Privacy, Cybersecurity, Computer Science, Information Systems, Engineering, Data Science, Business or a related discipline, or equivalent relevant experience. J.D. is valued for legal-advisory backgrounds but is not required for this consulting role.
11/12/2026
Full time
Job Description Job Description Role Purpose Seeking a Grade D Data Privacy & AI Governance Expert to shape and lead enterprise privacy, data governance and responsible AI transformations. The role translates FTC obligations, privacy commitments, and related U.S. requirements into practical operating models, platform-enabled controls, and audit-ready evidence. This leader will use AI and agentic capabilities to accelerate governance while establishing the policies, accountable ownership, technical controls, and human oversight required to govern AI systems and autonomous agents responsibly. Your Role Advise CDO, CIO, CTO, Legal, Privacy, Risk, Security, Compliance, and business leaders; lead executive workshops and convert ambiguous obligations into strategies, roadmaps, architectures, investment choices, and measurable outcomes. Lead FTC-aligned privacy and data-protection assessments covering data inventories and flows, privacy notices and commitments, consent and preference management, collection and purpose limitation, sensitive data, retention and deletion, access controls, third parties, incident response, monitoring, and substantiation of claims. Design privacy-by-design and governance operating models, decision rights, policies, standards, controls, RACI models, escalation paths, evidence requirements, KPIs, and remediation portfolios across complex global environments. Lead platform evaluation, architecture, implementation assurance, and integration across data catalogs, privacy management, lineage, data quality, MDM, observability, GRC, cloud, and AI governance capabilities. Own solution quality, design authority, delivery risk, executive communications, and stakeholder alignment; mentor practitioners and create reusable methods, accelerators, and thought leadership. FTC, Privacy, and Regulatory Capabilities Deep understanding of the FTC Act's unfair or deceptive practices standard and practical application to privacy, security, advertising, and AI-related representations; ability to translate enforcement themes, consent orders, and business guidance into control objectives and evidence. Working knowledge of relevant U.S. privacy and sector obligations, including state comprehensive privacy laws, COPPA, FCRA, GLBA Safeguards, Health Breach Notification, and breach-response requirements, with the judgment to engage legal counsel for formal interpretation. Experience with privacy program operations: records of processing, data mapping, DPIAs/PIAs, rights requests, consent, cookies and tracking, vendor risk, retention, deletion, de-identification, incident readiness, training, metrics, control testing, and audit support. AI for Governance Governance for AI Apply GenAI and agents to Client and classify data, enrich metadata, map obligations to policies and controls, draft privacy assessments, recommend quality rules, triage issues, collect evidence, and continuously monitor control performance. Design progressive autonomy with confidence thresholds, least privilege, human-in-the-loop or human-on-the-loop approvals, segregation of duties, exception routing, traceability, observability, rollback, and named accountability. Operationalize AI governance across use-case intake, risk tiering, data and RAG readiness, model and agent inventory, privacy and security review, evaluation, deployment gates, monitoring, incidents, recertification, retirement, and third parties. Address training-data and prompt privacy, confidential-data use, provenance, purpose limitation, data minimization, output risks, bias, explainability, agent identity, tool permissions, prompt injection, data leakage, unsafe action, and cascading failures. Data Privacy & AI Governance Expert Data Governance and Privacy Platform Expertise Architecture and implementation knowledge across several leading platforms such as OneTrust, BigID, Securiti, TrustArc, Informatica IDMC/CDGC, Collibra, Alation, Ataccama, Atlan, Microsoft Purview, IBM watsonx.governance, Databricks Unity Catalog, and comparable cloud-native governance, privacy, quality, MDM, and AI governance services. Ability to compare capabilities without platform bias and design interoperable patterns for metadata, lineage, classification, consent, rights, retention, policy enforcement, risk and control mapping, workflow, evidence, and reporting. Integration experience across multi-cloud, lakehouse, warehouse, ERP, CRM, SaaS, MDM, and on-premises landscapes using APIs, events, batch, semantic layers, knowledge graphs, policy-as-code, and governed agent tool access. Required Experience and Capabilities Typically 10 years in privacy, data governance, risk, compliance, data management, architecture, or consulting, including leadership of complex enterprise programs and multiple implementation lifecycles. Demonstrated success operationalizing privacy obligations and commitments through processes, controls, technology, and evidence; experience supporting regulatory readiness, investigations, audits, or remediation is strongly preferred. Hands-on credibility with data governance and privacy platforms, data architectures, and AI lifecycle controls; working knowledge of RAG, agent orchestration, MCP/tool use, semantic models, knowledge graphs, evaluation, and monitoring. Executive communication, consulting, facilitation, negotiation, proposal shaping, estimation, delivery governance, and leadership across legal, business, security, data, cloud, and AI teams. Bachelor's degree in Law, Privacy, Cybersecurity, Computer Science, Information Systems, Engineering, Data Science, Business or a related discipline, or equivalent relevant experience. J.D. is valued for legal-advisory backgrounds but is not required for this consulting role.
Job Description Job Description System Integration Engineer - Level II Location: Albany, NY (Hybrid, 3 days onsite, 2 days WFH) Duration: 34 months Employment Type: Contract ( NO BENEFITS ) Job Summary We are seeking a System Integration Engineer to design, develop, and implement technology solutions that ensure the seamless integration of applications, data, and interfaces. You will work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. Responsibilities Design, develop, and implement technology solutions that ensure the seamless integration of applications, data, and interfaces Work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution Design, develop, and enhance client-facing and internal applications, contribute to application architecture and technology solutions, and deliver technology tools that support strategic initiatives Apply enterprise architecture standards and design principles to develop scalable applications that align with business and technical requirements Use multiple sources of information, including broader stakeholder views, to develop solutions and recommendations Provide application support throughout the application lifecycle by resolving defects and implementing enhancements, and participate in post-implementation incident resolution as required Translate business requirements and use cases into enterprise applications, and perform unit testing Work with technical leads and architects to transform high- and low-level system designs into technical components, and develop applications based on technical requirements and design and architecture principles and standards Build reusable code and libraries for platform and shared services Produce work products and applications that ensure system design and delivery are in line with business needs and the project plan Collaborate with other team members and stakeholders Other duties as assigned Work Arrangement Hybrid: 3 days onsite, 2 days work from home Telecommuting of more than 50% of work hours, up to and including 100% remote, may be available with direct manager approval and is subject to change based on program needs. Consultants approved for 100% remote work must attend monthly in-person meetings at the Albany office and be available for major milestone meetings as needed. Mandatory Qualifications More than 7 years of experience working on complex projects, with 2 or more years in a leadership role as a DevOps Engineer Minimum of 7 years of experience in DevOps and middleware administration, designing, implementing, and managing CI/CD pipelines (e.g., GitLab), including version control, merge conflict resolution, and access management. Must demonstrate understanding of both development and operational aspects of the software cycle, business process management, and API management products Minimum of 2 years working in an Integrated Eligibility System program across various workstreams, including Data Management and Shared Services, in a health and human services setting Desirable Qualifications 3+ years of experience supporting and maintaining enterprise-level applications such as Blueprint, Tasktop, Jira, Informatica, PowerCenter, or Informatica MDM, including upgrade/maintenance efforts and high-severity vulnerability remediation 3+ years of experience managing InRule environments (installation, configuration, and validation across DEV/QA) and deploying Java applications, including ETL job troubleshooting and scheduling (OpCons) 3+ years of experience administering middleware, databases, and messaging systems in high-availability configurations, including diagnosing and resolving MongoDB replica set failures and ActiveMQ active/passive failures
11/12/2026
Full time
Job Description Job Description System Integration Engineer - Level II Location: Albany, NY (Hybrid, 3 days onsite, 2 days WFH) Duration: 34 months Employment Type: Contract ( NO BENEFITS ) Job Summary We are seeking a System Integration Engineer to design, develop, and implement technology solutions that ensure the seamless integration of applications, data, and interfaces. You will work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. Responsibilities Design, develop, and implement technology solutions that ensure the seamless integration of applications, data, and interfaces Work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution Design, develop, and enhance client-facing and internal applications, contribute to application architecture and technology solutions, and deliver technology tools that support strategic initiatives Apply enterprise architecture standards and design principles to develop scalable applications that align with business and technical requirements Use multiple sources of information, including broader stakeholder views, to develop solutions and recommendations Provide application support throughout the application lifecycle by resolving defects and implementing enhancements, and participate in post-implementation incident resolution as required Translate business requirements and use cases into enterprise applications, and perform unit testing Work with technical leads and architects to transform high- and low-level system designs into technical components, and develop applications based on technical requirements and design and architecture principles and standards Build reusable code and libraries for platform and shared services Produce work products and applications that ensure system design and delivery are in line with business needs and the project plan Collaborate with other team members and stakeholders Other duties as assigned Work Arrangement Hybrid: 3 days onsite, 2 days work from home Telecommuting of more than 50% of work hours, up to and including 100% remote, may be available with direct manager approval and is subject to change based on program needs. Consultants approved for 100% remote work must attend monthly in-person meetings at the Albany office and be available for major milestone meetings as needed. Mandatory Qualifications More than 7 years of experience working on complex projects, with 2 or more years in a leadership role as a DevOps Engineer Minimum of 7 years of experience in DevOps and middleware administration, designing, implementing, and managing CI/CD pipelines (e.g., GitLab), including version control, merge conflict resolution, and access management. Must demonstrate understanding of both development and operational aspects of the software cycle, business process management, and API management products Minimum of 2 years working in an Integrated Eligibility System program across various workstreams, including Data Management and Shared Services, in a health and human services setting Desirable Qualifications 3+ years of experience supporting and maintaining enterprise-level applications such as Blueprint, Tasktop, Jira, Informatica, PowerCenter, or Informatica MDM, including upgrade/maintenance efforts and high-severity vulnerability remediation 3+ years of experience managing InRule environments (installation, configuration, and validation across DEV/QA) and deploying Java applications, including ETL job troubleshooting and scheduling (OpCons) 3+ years of experience administering middleware, databases, and messaging systems in high-availability configurations, including diagnosing and resolving MongoDB replica set failures and ActiveMQ active/passive failures
Job Description Job Description System Integration Engineer - Level II Location: Albany, NY (Hybrid, 3 days onsite, 2 days WFH) Duration: 34 months Employment Type: Contract ( NO BENEFITS ) Job Summary We are seeking a System Integration Engineer to design, develop, and implement technology solutions that ensure the seamless integration of applications, data, and interfaces. You will work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. Responsibilities Design, develop, and implement technology solutions that ensure the seamless integration of applications, data, and interfaces Work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution Design, develop, and enhance client-facing and internal applications, contribute to application architecture and technology solutions, and deliver technology tools that support strategic initiatives Apply enterprise architecture standards and design principles to develop scalable applications that align with business and technical requirements Use multiple sources of information, including broader stakeholder views, to develop solutions and recommendations Provide application support throughout the application lifecycle by resolving defects and implementing enhancements, and participate in post-implementation incident resolution as required Translate business requirements and use cases into enterprise applications, and perform unit testing Work with technical leads and architects to transform high- and low-level system designs into technical components, and develop applications based on technical requirements and design and architecture principles and standards Build reusable code and libraries for platform and shared services Produce work products and applications that ensure system design and delivery are in line with business needs and the project plan Collaborate with other team members and stakeholders Other duties as assigned Work Arrangement Hybrid: 3 days onsite, 2 days work from home Telecommuting of more than 50% of work hours, up to and including 100% remote, may be available with direct manager approval and is subject to change based on program needs. Consultants approved for 100% remote work must attend monthly in-person meetings at the Albany office and be available for major milestone meetings as needed. Mandatory Qualifications More than 7 years of experience working on complex projects, with 2 or more years in a leadership role as a DevOps Engineer Minimum of 7 years of experience in DevOps and middleware administration, designing, implementing, and managing CI/CD pipelines (e.g., GitLab), including version control, merge conflict resolution, and access management. Must demonstrate understanding of both development and operational aspects of the software cycle, business process management, and API management products Minimum of 2 years working in an Integrated Eligibility System program across various workstreams, including Data Management and Shared Services, in a health and human services setting Desirable Qualifications 3+ years of experience supporting and maintaining enterprise-level applications such as Blueprint, Tasktop, Jira, Informatica, PowerCenter, or Informatica MDM, including upgrade/maintenance efforts and high-severity vulnerability remediation 3+ years of experience managing InRule environments (installation, configuration, and validation across DEV/QA) and deploying Java applications, including ETL job troubleshooting and scheduling (OpCons) 3+ years of experience administering middleware, databases, and messaging systems in high-availability configurations, including diagnosing and resolving MongoDB replica set failures and ActiveMQ active/passive failures
11/12/2026
Full time
Job Description Job Description System Integration Engineer - Level II Location: Albany, NY (Hybrid, 3 days onsite, 2 days WFH) Duration: 34 months Employment Type: Contract ( NO BENEFITS ) Job Summary We are seeking a System Integration Engineer to design, develop, and implement technology solutions that ensure the seamless integration of applications, data, and interfaces. You will work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. Responsibilities Design, develop, and implement technology solutions that ensure the seamless integration of applications, data, and interfaces Work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution Design, develop, and enhance client-facing and internal applications, contribute to application architecture and technology solutions, and deliver technology tools that support strategic initiatives Apply enterprise architecture standards and design principles to develop scalable applications that align with business and technical requirements Use multiple sources of information, including broader stakeholder views, to develop solutions and recommendations Provide application support throughout the application lifecycle by resolving defects and implementing enhancements, and participate in post-implementation incident resolution as required Translate business requirements and use cases into enterprise applications, and perform unit testing Work with technical leads and architects to transform high- and low-level system designs into technical components, and develop applications based on technical requirements and design and architecture principles and standards Build reusable code and libraries for platform and shared services Produce work products and applications that ensure system design and delivery are in line with business needs and the project plan Collaborate with other team members and stakeholders Other duties as assigned Work Arrangement Hybrid: 3 days onsite, 2 days work from home Telecommuting of more than 50% of work hours, up to and including 100% remote, may be available with direct manager approval and is subject to change based on program needs. Consultants approved for 100% remote work must attend monthly in-person meetings at the Albany office and be available for major milestone meetings as needed. Mandatory Qualifications More than 7 years of experience working on complex projects, with 2 or more years in a leadership role as a DevOps Engineer Minimum of 7 years of experience in DevOps and middleware administration, designing, implementing, and managing CI/CD pipelines (e.g., GitLab), including version control, merge conflict resolution, and access management. Must demonstrate understanding of both development and operational aspects of the software cycle, business process management, and API management products Minimum of 2 years working in an Integrated Eligibility System program across various workstreams, including Data Management and Shared Services, in a health and human services setting Desirable Qualifications 3+ years of experience supporting and maintaining enterprise-level applications such as Blueprint, Tasktop, Jira, Informatica, PowerCenter, or Informatica MDM, including upgrade/maintenance efforts and high-severity vulnerability remediation 3+ years of experience managing InRule environments (installation, configuration, and validation across DEV/QA) and deploying Java applications, including ETL job troubleshooting and scheduling (OpCons) 3+ years of experience administering middleware, databases, and messaging systems in high-availability configurations, including diagnosing and resolving MongoDB replica set failures and ActiveMQ active/passive failures
Job Description Job Description System Integration Engineer - Level II Location: Albany, NY (Hybrid, 3 days onsite, 2 days WFH) Duration: 34 months Employment Type: Contract ( NO BENEFITS ) Job Summary We are seeking a System Integration Engineer to design, develop, and implement technology solutions that ensure the seamless integration of applications, data, and interfaces. You will work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. Responsibilities Design, develop, and implement technology solutions that ensure the seamless integration of applications, data, and interfaces Work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution Design, develop, and enhance client-facing and internal applications, contribute to application architecture and technology solutions, and deliver technology tools that support strategic initiatives Apply enterprise architecture standards and design principles to develop scalable applications that align with business and technical requirements Use multiple sources of information, including broader stakeholder views, to develop solutions and recommendations Provide application support throughout the application lifecycle by resolving defects and implementing enhancements, and participate in post-implementation incident resolution as required Translate business requirements and use cases into enterprise applications, and perform unit testing Work with technical leads and architects to transform high- and low-level system designs into technical components, and develop applications based on technical requirements and design and architecture principles and standards Build reusable code and libraries for platform and shared services Produce work products and applications that ensure system design and delivery are in line with business needs and the project plan Collaborate with other team members and stakeholders Other duties as assigned Work Arrangement Hybrid: 3 days onsite, 2 days work from home Telecommuting of more than 50% of work hours, up to and including 100% remote, may be available with direct manager approval and is subject to change based on program needs. Consultants approved for 100% remote work must attend monthly in-person meetings at the Albany office and be available for major milestone meetings as needed. Mandatory Qualifications More than 7 years of experience working on complex projects, with 2 or more years in a leadership role as a DevOps Engineer Minimum of 7 years of experience in DevOps and middleware administration, designing, implementing, and managing CI/CD pipelines (e.g., GitLab), including version control, merge conflict resolution, and access management. Must demonstrate understanding of both development and operational aspects of the software cycle, business process management, and API management products Minimum of 2 years working in an Integrated Eligibility System program across various workstreams, including Data Management and Shared Services, in a health and human services setting Desirable Qualifications 3+ years of experience supporting and maintaining enterprise-level applications such as Blueprint, Tasktop, Jira, Informatica, PowerCenter, or Informatica MDM, including upgrade/maintenance efforts and high-severity vulnerability remediation 3+ years of experience managing InRule environments (installation, configuration, and validation across DEV/QA) and deploying Java applications, including ETL job troubleshooting and scheduling (OpCons) 3+ years of experience administering middleware, databases, and messaging systems in high-availability configurations, including diagnosing and resolving MongoDB replica set failures and ActiveMQ active/passive failures
11/12/2026
Full time
Job Description Job Description System Integration Engineer - Level II Location: Albany, NY (Hybrid, 3 days onsite, 2 days WFH) Duration: 34 months Employment Type: Contract ( NO BENEFITS ) Job Summary We are seeking a System Integration Engineer to design, develop, and implement technology solutions that ensure the seamless integration of applications, data, and interfaces. You will work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. Responsibilities Design, develop, and implement technology solutions that ensure the seamless integration of applications, data, and interfaces Work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution Design, develop, and enhance client-facing and internal applications, contribute to application architecture and technology solutions, and deliver technology tools that support strategic initiatives Apply enterprise architecture standards and design principles to develop scalable applications that align with business and technical requirements Use multiple sources of information, including broader stakeholder views, to develop solutions and recommendations Provide application support throughout the application lifecycle by resolving defects and implementing enhancements, and participate in post-implementation incident resolution as required Translate business requirements and use cases into enterprise applications, and perform unit testing Work with technical leads and architects to transform high- and low-level system designs into technical components, and develop applications based on technical requirements and design and architecture principles and standards Build reusable code and libraries for platform and shared services Produce work products and applications that ensure system design and delivery are in line with business needs and the project plan Collaborate with other team members and stakeholders Other duties as assigned Work Arrangement Hybrid: 3 days onsite, 2 days work from home Telecommuting of more than 50% of work hours, up to and including 100% remote, may be available with direct manager approval and is subject to change based on program needs. Consultants approved for 100% remote work must attend monthly in-person meetings at the Albany office and be available for major milestone meetings as needed. Mandatory Qualifications More than 7 years of experience working on complex projects, with 2 or more years in a leadership role as a DevOps Engineer Minimum of 7 years of experience in DevOps and middleware administration, designing, implementing, and managing CI/CD pipelines (e.g., GitLab), including version control, merge conflict resolution, and access management. Must demonstrate understanding of both development and operational aspects of the software cycle, business process management, and API management products Minimum of 2 years working in an Integrated Eligibility System program across various workstreams, including Data Management and Shared Services, in a health and human services setting Desirable Qualifications 3+ years of experience supporting and maintaining enterprise-level applications such as Blueprint, Tasktop, Jira, Informatica, PowerCenter, or Informatica MDM, including upgrade/maintenance efforts and high-severity vulnerability remediation 3+ years of experience managing InRule environments (installation, configuration, and validation across DEV/QA) and deploying Java applications, including ETL job troubleshooting and scheduling (OpCons) 3+ years of experience administering middleware, databases, and messaging systems in high-availability configurations, including diagnosing and resolving MongoDB replica set failures and ActiveMQ active/passive failures
Job Description Job Description Benefits: 401(k) Product Manager - Product Data & Catalog Platforms Onsite - Atlanta, GA We are looking for an experienced Product Manager to lead the strategy, roadmap, and delivery of enterprise Product Data, Product Catalog, and Master Data Management (MDM/PIM) platforms. Responsibilities: Define and drive product vision, roadmap, and long-term platform strategy. Partner with business and technology leaders to identify opportunities and prioritize initiatives. Translate business needs into scalable product capabilities and technology solutions. Establish product KPIs, success metrics, and measurable business outcomes. Own product backlog, prioritization, release planning, and feature delivery. Create epics, user stories, acceptance criteria, and detailed product requirements. Work closely with engineering, architecture, UX, and data teams throughout the development lifecycle. Lead Agile product management activities including backlog refinement, sprint planning, and stakeholder reviews. Drive successful delivery of new features and platform enhancements across multiple teams. Act as the primary product owner for Product Data and Catalog platforms. Collaborate with business stakeholders to understand challenges and define solutions. Communicate roadmap progress, priorities, and outcomes to leadership and cross-functional teams. Build alignment across business, technology, operations, and data governance groups. Lead initiatives involving Product Information Management (PIM), Master Data Management (MDM), Product Catalogs, Data Governance, and Data Syndication. Support development of product data models, APIs, integrations, governance processes, and downstream data distribution capabilities. Identify opportunities to improve data quality, operational efficiency, and customer experiences through better product data management. Required Qualifications 7+ years of Product Management, Technical Product Management, or Product Owner experience. Strong experience owning product strategy, roadmap, backlog, releases, and delivery for enterprise software products. Hands-on Agile/Scrum experience with backlog management, user stories, and prioritization. Experience partnering directly with engineering teams to build and deliver software products. Experience working with Product Information Management (PIM), Master Data Management (MDM), Product Catalog, or Data Governance platforms. Experience with one or more enterprise platforms such as: STIBO STEP Informatica MDM Riversand Syndigo Salsify InRiver Similar enterprise PIM/MDM solutions Preferred Qualifications Strong hands-on experience with STIBO STEP. Retail, B2B Commerce, or Digital Commerce experience. Automotive Aftermarket industry experience. Knowledge of ACES/PIES standards. Experience working in large-scale enterprise data environments.
11/11/2026
Full time
Job Description Job Description Benefits: 401(k) Product Manager - Product Data & Catalog Platforms Onsite - Atlanta, GA We are looking for an experienced Product Manager to lead the strategy, roadmap, and delivery of enterprise Product Data, Product Catalog, and Master Data Management (MDM/PIM) platforms. Responsibilities: Define and drive product vision, roadmap, and long-term platform strategy. Partner with business and technology leaders to identify opportunities and prioritize initiatives. Translate business needs into scalable product capabilities and technology solutions. Establish product KPIs, success metrics, and measurable business outcomes. Own product backlog, prioritization, release planning, and feature delivery. Create epics, user stories, acceptance criteria, and detailed product requirements. Work closely with engineering, architecture, UX, and data teams throughout the development lifecycle. Lead Agile product management activities including backlog refinement, sprint planning, and stakeholder reviews. Drive successful delivery of new features and platform enhancements across multiple teams. Act as the primary product owner for Product Data and Catalog platforms. Collaborate with business stakeholders to understand challenges and define solutions. Communicate roadmap progress, priorities, and outcomes to leadership and cross-functional teams. Build alignment across business, technology, operations, and data governance groups. Lead initiatives involving Product Information Management (PIM), Master Data Management (MDM), Product Catalogs, Data Governance, and Data Syndication. Support development of product data models, APIs, integrations, governance processes, and downstream data distribution capabilities. Identify opportunities to improve data quality, operational efficiency, and customer experiences through better product data management. Required Qualifications 7+ years of Product Management, Technical Product Management, or Product Owner experience. Strong experience owning product strategy, roadmap, backlog, releases, and delivery for enterprise software products. Hands-on Agile/Scrum experience with backlog management, user stories, and prioritization. Experience partnering directly with engineering teams to build and deliver software products. Experience working with Product Information Management (PIM), Master Data Management (MDM), Product Catalog, or Data Governance platforms. Experience with one or more enterprise platforms such as: STIBO STEP Informatica MDM Riversand Syndigo Salsify InRiver Similar enterprise PIM/MDM solutions Preferred Qualifications Strong hands-on experience with STIBO STEP. Retail, B2B Commerce, or Digital Commerce experience. Automotive Aftermarket industry experience. Knowledge of ACES/PIES standards. Experience working in large-scale enterprise data environments.
Job Description Job Description We are seeking an experienced Product Manager to lead the strategy, roadmap, and delivery of enterprise Product Data, Catalog, and Master Data Management (MDM/PIM) platforms. This role will partner closely with Engineering, Architecture, Data Governance, and Business stakeholders to build scalable technology solutions that enable high-quality product data management, catalog syndication, integrations, and digital commerce experiences. The ideal candidate combines strong Software Product Management experience with expertise in Product Information Management (PIM), Master Data Management (MDM), Product Catalogs, and Data Governance. This individual will own product strategy, drive cross-functional execution, and ensure successful delivery of technology capabilities that create measurable business value. Key Responsibilities Product Strategy Roadmap Define and own the product vision, strategy, and multi-quarter roadmap for Product Data and Catalog platforms. Partner with business and technology leaders to identify opportunities, prioritize initiatives, and align product investments with organizational goals. Translate business objectives into scalable technology solutions and product capabilities. Establish and track product KPIs, success metrics, and business outcomes. Product Ownership Delivery Own and manage the product backlog, prioritization process, and release planning. Create and maintain epics, features, user stories, acceptance criteria, and product requirements. Collaborate closely with Engineering, Architecture, UX, and Data teams throughout the product lifecycle. Lead Agile product management activities including backlog refinement, sprint planning, prioritization, and stakeholder reviews. Ensure successful delivery of product enhancements and new capabilities across multiple teams. Stakeholder Management Serve as the primary product owner and advocate for Product Data and Catalog platforms. Partner with business stakeholders to understand pain points, gather requirements, and define solutions. Communicate product vision, roadmap progress, priorities, and outcomes to leadership and cross-functional teams. Drive alignment across business, technology, data governance, and operations teams. Product Data Catalog Domain Leadership Lead initiatives related to Product Information Management (PIM), Master Data Management (MDM), Data Governance, Product Catalogs, and Data Syndication. Support development of product data models, governance processes, integrations, APIs, and downstream data distribution capabilities. Identify opportunities to improve data quality, operational efficiency, and customer experiences through enhanced product data management. Required Qualifications 7+ years of Software Product Management, Technical Product Management, or Product Owner experience. Experience owning product strategy, roadmap, backlog, releases, and delivery for enterprise software products. Strong Agile/Scrum experience including epics, features, user stories, and backlog prioritization. Experience partnering directly with engineering teams to deliver software products. Experience working with Product Information Management (PIM), Master Data Management (MDM), Product Catalog, or Data Governance platforms and processes. Experience with at least one enterprise PIM/MDM platform such as STIBO STEP, Informatica MDM, Riversand, Syndigo, Salsify, InRiver, or similar. Preferred Qualifications Deep hands-on experience with STIBO STEP. Automotive Aftermarket experience. ACES/PIES knowledge. Retail/B2B Commerce experience. Flexible work from home options available.
11/11/2026
Full time
Job Description Job Description We are seeking an experienced Product Manager to lead the strategy, roadmap, and delivery of enterprise Product Data, Catalog, and Master Data Management (MDM/PIM) platforms. This role will partner closely with Engineering, Architecture, Data Governance, and Business stakeholders to build scalable technology solutions that enable high-quality product data management, catalog syndication, integrations, and digital commerce experiences. The ideal candidate combines strong Software Product Management experience with expertise in Product Information Management (PIM), Master Data Management (MDM), Product Catalogs, and Data Governance. This individual will own product strategy, drive cross-functional execution, and ensure successful delivery of technology capabilities that create measurable business value. Key Responsibilities Product Strategy Roadmap Define and own the product vision, strategy, and multi-quarter roadmap for Product Data and Catalog platforms. Partner with business and technology leaders to identify opportunities, prioritize initiatives, and align product investments with organizational goals. Translate business objectives into scalable technology solutions and product capabilities. Establish and track product KPIs, success metrics, and business outcomes. Product Ownership Delivery Own and manage the product backlog, prioritization process, and release planning. Create and maintain epics, features, user stories, acceptance criteria, and product requirements. Collaborate closely with Engineering, Architecture, UX, and Data teams throughout the product lifecycle. Lead Agile product management activities including backlog refinement, sprint planning, prioritization, and stakeholder reviews. Ensure successful delivery of product enhancements and new capabilities across multiple teams. Stakeholder Management Serve as the primary product owner and advocate for Product Data and Catalog platforms. Partner with business stakeholders to understand pain points, gather requirements, and define solutions. Communicate product vision, roadmap progress, priorities, and outcomes to leadership and cross-functional teams. Drive alignment across business, technology, data governance, and operations teams. Product Data Catalog Domain Leadership Lead initiatives related to Product Information Management (PIM), Master Data Management (MDM), Data Governance, Product Catalogs, and Data Syndication. Support development of product data models, governance processes, integrations, APIs, and downstream data distribution capabilities. Identify opportunities to improve data quality, operational efficiency, and customer experiences through enhanced product data management. Required Qualifications 7+ years of Software Product Management, Technical Product Management, or Product Owner experience. Experience owning product strategy, roadmap, backlog, releases, and delivery for enterprise software products. Strong Agile/Scrum experience including epics, features, user stories, and backlog prioritization. Experience partnering directly with engineering teams to deliver software products. Experience working with Product Information Management (PIM), Master Data Management (MDM), Product Catalog, or Data Governance platforms and processes. Experience with at least one enterprise PIM/MDM platform such as STIBO STEP, Informatica MDM, Riversand, Syndigo, Salsify, InRiver, or similar. Preferred Qualifications Deep hands-on experience with STIBO STEP. Automotive Aftermarket experience. ACES/PIES knowledge. Retail/B2B Commerce experience. Flexible work from home options available.
Job Description Job Description Company Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . on LinkedIn, Facebook, Instagram, X and YouTube. Job Description While the AI innovation race in Biopharma is focused on Drug discovery, Product Development/ CMC represents the next barrier/ bottleneck. The complexity of biological systems, the rigor of regulatory expectations, the pace of pipeline growth, and the enormous value at stake make this one of the highest-leverage domains for applied data science and AI in the entire pharmaceutical value chain. We here at BTS - PDST, are building a dedicated, AI-native team that is driving cutting edge programs across early stage, late stage and commercial product development to accelerate E2E product development and launch, maximize yields of block buster products. Through our deep collaboration with PDST scientists we are boldly reimagining how Abbvie can bring our pipeline products and lifesaving drugs to patients faster, safer and in cost effective manner fueled by AI. Principal Data Engineer is a highly technical, AI-native role responsible for designing, building, and operating production-grade data pipelines and data products that power AI/ML, analytics, and automation across AbbVie's CMC and manufacturing ecosystem. This role is embedded inside PDST and works at the frontier of pharmaceutical data engineering. You will integrate and harmonize data from the full spectrum of manufacturing and development systems - including MES, historians, LIMS, QMS, ERP, and instrument platforms - and transform it into reliable, governed, semantically rich data assets that data scientists, process engineers, and AI systems can actually use. Enterprise-scale scope: Enterprise-scale biologics portfolio spanning clinical, commercial, and lifecycle stages Building AI playbook for the future: First-in-AbbVie and first-in-biologics analytical approaches; you build the AI playbook for the future Growth and Impact: Direct impact on regulatory submissions, commercial readiness, and manufacturing decisions through deep cross-functional exposure to manufacturing, quality, regulatory, and scientific leadership Mission: Every model you build helps ensure safe, reliable medicines reach patients at scale Responsibilities Data Ingestion & Integration Design and implement scalable, robust data ingestion pipelines that connect CMC and manufacturing source systems - including MES (Manufacturing Execution Systems), process historians, LIMS, QMS, ERP platforms, and instrument data sources - to centralized and federated data environments. Build connectors, adapters, and integration layers that handle the heterogeneous data formats, protocols, and latency profiles characteristic of pharmaceutical manufacturing environments. Support both batch and real-time/streaming data patterns, selecting appropriate architectures based on use case requirements. Data Harmonization & Semantic Modeling Develop and maintain harmonized data models and ontologies that bring consistency to CMC and manufacturing data across sites, systems, and modalities. Execute semantic mapping efforts that align source system fields, units, and identifiers to enterprise data standards and scientific meaning. Collaborate with process scientists, analytical chemists, and manufacturing engineers to ensure data models accurately reflect domain reality. Data Quality, Observability & Governance Implement automated data quality controls, validation frameworks, and anomaly detection mechanisms across pipeline layers. Build and maintain data lineage documentation and metadata infrastructure, enabling full traceability from source system to AI model input. Establish pipeline observability practices - monitoring, alerting, SLA tracking - to ensure data product reliability in production. Support data governance practices aligned with GxP requirements, 21 CFR Part 11, and AbbVie data standards. AI/ML Enablement & Data Product Development Architect and deliver governed, versioned, reusable data products purpose-built for AI/ML consumption, including feature stores, curated datasets, and vector-ready data layers for RAG and LLM applications. Partner closely with data scientists, ML engineers, and process modelers to understand model data requirements and translate them into reliable, scalable data infrastructure. Accelerate AI program delivery by eliminating data bottlenecks - not by workarounds, but by solving root causes structurally. Platform & Operational Enablement Contribute to the design and evolution of PDST's cloud-based data platform, including lakehouse architecture, data cataloging, access control, and compute infrastructure. Write and maintain infrastructure-as-code, CI/CD pipelines, and automated testing frameworks for data systems. Support platform onboarding of new CMC data domains and manufacturing sites, ensuring consistent application of standards and patterns. Provide operational support for production data pipelines, maintaining uptime and data freshness commitments. Stakeholder Engagement & Scientific Leadership Influence technical decision-making without formal authority - earning trust through scientific rigor, transparent methodology, and demonstrated business impact. Qualifications Required: Bachelor's Degree Computer Science, Data Engineering, Information Systems, Software Engineering, Bioinformatics, or a closely related technical field plus 6 years' experience; Master's Degree plus 5 years' experience; PhD plus 0 years' experience. Respective years of hands-on experience designing and building enterprise-grade data pipelines, integration workflows, and data products in complex, multi-source environments. Expert-level proficiency in Python for data engineering tasks - pipeline development, transformation logic, data validation, and automation. Strong SQL skills across modern analytical and transactional databases; comfort with both ANSI SQL and platform-specific dialects. Demonstrated experience with cloud data platforms (AWS, Azure, or GCP) and modern data stack components - including tools such as dbt, Spark, Airflow, Databricks, Snowflake, or equivalents. Develop ETL/ELT pipelines using tools such as Informatica, Talend, Apache NiFi, and cloud-native services (e.g., AWS Glue, Azure Data Factory). Implement master data management (MDM), metadata management, and data cataloging solutions to ensure proper data lineage, accessibility, and compliance. Set and enforce standards for API development and data integration (REST, GraphQL, OData), enabling seamless integration using microservices architectures. Ownership orientation: you define your own problem space, drive solutions to completion, and hold yourself accountable to outcomes - not just outputs. Solution-architect instinct: you think before you build, consider the full landscape of available approaches, and choose tools based on fit-for-purpose reasoning rather than familiarity or trend. Scientific integrity: you build models you can explain, defend, and improve - and you apply the same standard to the work of others. Influence through credibility: you earn the confidence of scientists, engineers, and quality professionals by being right, being clear, and being useful - not by title or volume. Bias for impact: you are drawn to problems where the stakes are high and the analytical opportunity is real, and you are energized rather than intimidated by ambiguity. Preferred: 3+ years of hands-on experience designing and building enterprise-grade data pipelines, integration workflows, and data products in complex, multi-source environments. Familiarity with technology transfer workflows, process characterization study design, or commercial process validation (PPQ/PV) in a biologics or pharmaceutical context. Experience in pharmaceutical, biotech, or other regulated life sciences manufacturing environments. Familiarity with GxP data principles, 21 CFR Part 11 compliance, or data integrity requirements in regulated industries. Prior exposure to manufacturing source systems such as MES, process historians (e.g., OSIsoft PI/AVEVA), LIMS, QMS, or ERP platforms Experience building data infrastructure for AI/ML programs - including feature engineering pipelines, model training datasets, or vector/embedding data layers for RAG architectures. Knowledge of biologics manufacturing processes (e.g., upstream cell culture, downstream purification, fill-finish) or CMC development workflows. Familiarity with data mesh, data fabric, or federated data architecture patterns. Experience with graph databases, knowledge graphs, or ontology frameworks applied to scientific or manufacturing data. Contributions to open-source data tooling or demonstrated engagement with the modern data engineering community. Design logical, physical, and conceptual data models using modeling tools (e.g., Erwin, PowerDesigner, dbt). . click apply for full job details
09/26/2026
Full time
Job Description Job Description Company Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . on LinkedIn, Facebook, Instagram, X and YouTube. Job Description While the AI innovation race in Biopharma is focused on Drug discovery, Product Development/ CMC represents the next barrier/ bottleneck. The complexity of biological systems, the rigor of regulatory expectations, the pace of pipeline growth, and the enormous value at stake make this one of the highest-leverage domains for applied data science and AI in the entire pharmaceutical value chain. We here at BTS - PDST, are building a dedicated, AI-native team that is driving cutting edge programs across early stage, late stage and commercial product development to accelerate E2E product development and launch, maximize yields of block buster products. Through our deep collaboration with PDST scientists we are boldly reimagining how Abbvie can bring our pipeline products and lifesaving drugs to patients faster, safer and in cost effective manner fueled by AI. Principal Data Engineer is a highly technical, AI-native role responsible for designing, building, and operating production-grade data pipelines and data products that power AI/ML, analytics, and automation across AbbVie's CMC and manufacturing ecosystem. This role is embedded inside PDST and works at the frontier of pharmaceutical data engineering. You will integrate and harmonize data from the full spectrum of manufacturing and development systems - including MES, historians, LIMS, QMS, ERP, and instrument platforms - and transform it into reliable, governed, semantically rich data assets that data scientists, process engineers, and AI systems can actually use. Enterprise-scale scope: Enterprise-scale biologics portfolio spanning clinical, commercial, and lifecycle stages Building AI playbook for the future: First-in-AbbVie and first-in-biologics analytical approaches; you build the AI playbook for the future Growth and Impact: Direct impact on regulatory submissions, commercial readiness, and manufacturing decisions through deep cross-functional exposure to manufacturing, quality, regulatory, and scientific leadership Mission: Every model you build helps ensure safe, reliable medicines reach patients at scale Responsibilities Data Ingestion & Integration Design and implement scalable, robust data ingestion pipelines that connect CMC and manufacturing source systems - including MES (Manufacturing Execution Systems), process historians, LIMS, QMS, ERP platforms, and instrument data sources - to centralized and federated data environments. Build connectors, adapters, and integration layers that handle the heterogeneous data formats, protocols, and latency profiles characteristic of pharmaceutical manufacturing environments. Support both batch and real-time/streaming data patterns, selecting appropriate architectures based on use case requirements. Data Harmonization & Semantic Modeling Develop and maintain harmonized data models and ontologies that bring consistency to CMC and manufacturing data across sites, systems, and modalities. Execute semantic mapping efforts that align source system fields, units, and identifiers to enterprise data standards and scientific meaning. Collaborate with process scientists, analytical chemists, and manufacturing engineers to ensure data models accurately reflect domain reality. Data Quality, Observability & Governance Implement automated data quality controls, validation frameworks, and anomaly detection mechanisms across pipeline layers. Build and maintain data lineage documentation and metadata infrastructure, enabling full traceability from source system to AI model input. Establish pipeline observability practices - monitoring, alerting, SLA tracking - to ensure data product reliability in production. Support data governance practices aligned with GxP requirements, 21 CFR Part 11, and AbbVie data standards. AI/ML Enablement & Data Product Development Architect and deliver governed, versioned, reusable data products purpose-built for AI/ML consumption, including feature stores, curated datasets, and vector-ready data layers for RAG and LLM applications. Partner closely with data scientists, ML engineers, and process modelers to understand model data requirements and translate them into reliable, scalable data infrastructure. Accelerate AI program delivery by eliminating data bottlenecks - not by workarounds, but by solving root causes structurally. Platform & Operational Enablement Contribute to the design and evolution of PDST's cloud-based data platform, including lakehouse architecture, data cataloging, access control, and compute infrastructure. Write and maintain infrastructure-as-code, CI/CD pipelines, and automated testing frameworks for data systems. Support platform onboarding of new CMC data domains and manufacturing sites, ensuring consistent application of standards and patterns. Provide operational support for production data pipelines, maintaining uptime and data freshness commitments. Stakeholder Engagement & Scientific Leadership Influence technical decision-making without formal authority - earning trust through scientific rigor, transparent methodology, and demonstrated business impact. Qualifications Required: Bachelor's Degree Computer Science, Data Engineering, Information Systems, Software Engineering, Bioinformatics, or a closely related technical field plus 6 years' experience; Master's Degree plus 5 years' experience; PhD plus 0 years' experience. Respective years of hands-on experience designing and building enterprise-grade data pipelines, integration workflows, and data products in complex, multi-source environments. Expert-level proficiency in Python for data engineering tasks - pipeline development, transformation logic, data validation, and automation. Strong SQL skills across modern analytical and transactional databases; comfort with both ANSI SQL and platform-specific dialects. Demonstrated experience with cloud data platforms (AWS, Azure, or GCP) and modern data stack components - including tools such as dbt, Spark, Airflow, Databricks, Snowflake, or equivalents. Develop ETL/ELT pipelines using tools such as Informatica, Talend, Apache NiFi, and cloud-native services (e.g., AWS Glue, Azure Data Factory). Implement master data management (MDM), metadata management, and data cataloging solutions to ensure proper data lineage, accessibility, and compliance. Set and enforce standards for API development and data integration (REST, GraphQL, OData), enabling seamless integration using microservices architectures. Ownership orientation: you define your own problem space, drive solutions to completion, and hold yourself accountable to outcomes - not just outputs. Solution-architect instinct: you think before you build, consider the full landscape of available approaches, and choose tools based on fit-for-purpose reasoning rather than familiarity or trend. Scientific integrity: you build models you can explain, defend, and improve - and you apply the same standard to the work of others. Influence through credibility: you earn the confidence of scientists, engineers, and quality professionals by being right, being clear, and being useful - not by title or volume. Bias for impact: you are drawn to problems where the stakes are high and the analytical opportunity is real, and you are energized rather than intimidated by ambiguity. Preferred: 3+ years of hands-on experience designing and building enterprise-grade data pipelines, integration workflows, and data products in complex, multi-source environments. Familiarity with technology transfer workflows, process characterization study design, or commercial process validation (PPQ/PV) in a biologics or pharmaceutical context. Experience in pharmaceutical, biotech, or other regulated life sciences manufacturing environments. Familiarity with GxP data principles, 21 CFR Part 11 compliance, or data integrity requirements in regulated industries. Prior exposure to manufacturing source systems such as MES, process historians (e.g., OSIsoft PI/AVEVA), LIMS, QMS, or ERP platforms Experience building data infrastructure for AI/ML programs - including feature engineering pipelines, model training datasets, or vector/embedding data layers for RAG architectures. Knowledge of biologics manufacturing processes (e.g., upstream cell culture, downstream purification, fill-finish) or CMC development workflows. Familiarity with data mesh, data fabric, or federated data architecture patterns. Experience with graph databases, knowledge graphs, or ontology frameworks applied to scientific or manufacturing data. Contributions to open-source data tooling or demonstrated engagement with the modern data engineering community. Design logical, physical, and conceptual data models using modeling tools (e.g., Erwin, PowerDesigner, dbt). . click apply for full job details