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Key Responsibilities:

• Own end-to-end program andproject delivery across engineering teams spanning software engineering,data/BI & integration engineering, and DevOps/cloud engineering

• Partner directly with customerand business stakeholders to understand business priorities, constraints, andsuccess criteria within the health insurance/payer domain

• Translate business and customerrequirements into clear technical requirements, epics, and stories, ensuringshared understanding across product, architecture, and delivery teams

• Build, maintain, and trackdetailed program plans, schedules, dependencies, RAID logs, and statusreporting across all workstreams

• Drive sprint/iterationplanning, backlog grooming, and delivery governance (Agile/Scrum/Kanban) acrossdistributed onshore/offshore teams

• Champion and drive an AI-firstengineering mindset across all teams, ensuring AI-assisted coding, testing,documentation, and operations practices are adopted consistently across everysolution delivered

• Identify opportunities to applyAI and automation to accelerate delivery, improve quality, or reduceoperational cost, and drive adoption plans together with engineering andarchitecture leads

• Manage cross-team dependenciesacross software engineering, data/BI/integration, and DevOps/cloud engineeringroles, proactively resolving blockers

• Own stakeholder communication:executive status updates, steering committee reporting, and risk/issueescalation

• Partner with architects ontechnical roadmap alignment with business priorities

• Ensure delivery quality,compliance, and security requirements, including HIPAA-aware practices, areembedded into program execution

• Mentor and guide engineeringleads on program management fundamentals and on driving AI-first deliverywithin their teams

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Required Qualifications:

• Bachelor's degree in Computer Science, Engineering, Business, or a related field; PMP, PMI-ACP, CSM, or SAFe certification is a plus

• 12–15 years of experience in technical program or project management, including delivery of complex,multi-team software engineering programs

• Strong working knowledge of AWSservices and cloud architecture concepts, sufficient to engage credibly withengineering and architecture teams on technical trade-offs

• Proven experience managing programs spanning distributed systems/backend engineering, data engineering/BI, and DevOps/cloud engineering disciplines

• Strong command ofprogram/project management tools and methodologies (Agile/Scrum/Kanban, JIRA,Confluence, MS Project, or similar), including building and tracking projectplans, RAID logs, and status reports

• Demonstrated ability tounderstand customer and business context and translate business requirementsinto actionable technical direction for engineering teams

• Strong analytical andproblem-solving skills to track progress, surface risks early, and driveresolution across multiple concurrent workstreams

• Strong verbal and writtencommunication skills, including experience presenting to senior stakeholdersand clients

• Experience managing andcoordinating distributed onshore/offshore delivery teams

• Strong stakeholder managementskills across business, engineering, and executive audiences

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AI-First Leadership (Required):

• A genuine AI-first mindset: able to identify, champion, and drive adoption of AI-assisted engineering practices (AI coding assistants, agentic workflows, AI-assisted testing and documentation) across every team and every solution under their management

• Practical, hands-on familiarity with AI coding/assistant tools (e.g., Claude Code, GitHub Copilot, Cursor, or similar), sufficient to credibly set expectations and coach teams on effective, responsible usage

• Able to define and track AI-adoption goals and metrics across engineering teams (e.g., proportion of AI-assisted work, cycle-time improvement, quality impact) as part of program governance

• Understanding of responsible and compliant AI usage in a health-insurance context, including data-privacy safeguards such as never exposing PHI or sensitive member/client data to external AI tools, and the ability to enforce these standards across teams

• Able to evaluate where AI can be applied across the full solution lifecycle, requirements analysis, design, coding, testing, documentation, and operations, and build these expectations into program plans

• Comfortable partnering with architects and engineering leads to embed AI-first practices into technical roadmaps and solution designs

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Preferred Qualifications:

• Experience in the US health insurance or payer domain: claims, eligibility, enrollment, provider/member data, and HIPAA-aware program delivery

• Experience managing programs supporting health plan clients in a consulting or professional services environment

• Familiarity with the specific technologies used by the teams under management: Go, Python, Node.js, AWSEKS/OpenShift, AWS Glue, Power BI, IBM Message Broker/ACE, and cloud DevOps tool chains (Terraform, CI/CD)

• AWS Certified Cloud Practitioner or AWS Certified Solutions Architect (Associate)

• Experience establishing AI governance frameworks or an AI center-of-excellence function within an engineering organization

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