Job responsibilities

• Develop and implement strategic technical program plans and roadmaps aligned to organizational goals, OKRs, and customer outcomes
• Lead end-to-end execution of complex technology programs across multiple workstreams, managing scope, timelines, dependencies, resources, and budgets while addressing roadblocks and risks
• Translate customer and stakeholder needs into clear delivery artifacts (e.g., requirements/PRDs, epics, milestones, acceptance criteria) and maintain a prioritized backlog aligned to value, effort, and regulatory needs
• Establish and run an effective operating cadence (standups, backlog grooming, sprint reviews/demos, stakeholder office hours, production health checks), ensuring transparent delivery and fast issue resolution
• Drive governance and executive engagement through steering committees, stakeholder newsletters/updates, quarterly planning, and structured escalation paths
• Partner with Engineering, Infrastructure, Architecture, Operations, Security, and Risk/Compliance to ensure solutions are reliable, scalable, and aligned to firm standards and controls
• Maintain program transparency through live dashboards (delivery health, adoption, operational metrics) and a decision log documenting key decisions and rationale
• Champion continuous improvement by identifying process optimization opportunities, incorporating best practices, and improving intake, prioritization, and delivery predictability
• Support adoption and enablement by coordinating release readiness and creating/overseeing onboarding materials, user documentation, and production showcases
• Uses enterprise-authorized AI capabilities within the work environment to accelerate program planning, dependency/risk synthesis, and executive-ready reporting, validating outputs and handling data according to sensitivity requirements. 
• Promotes reuse-first, AI-assisted practices for program governance and continuous improvement routines, ensuring human review and alignment to delivery standards. 

Required qualifications, capabilities, and skills

• 7+ years of experience or equivalent expertise in technical program management, leading complex technology projects and programs in large organizations
• Demonstrated ability to manage resources, budgets, timelines, and multi-team dependencies across concurrent workstreams/programs
• Strong technical fluency with the ability to engage credibly with engineering and architecture teams, guide trade-offs, and drive execution in modern technology environments
• Advanced analytical reasoning and problem-solving skills, breaking down ambiguous business/technical objectives into structured plans with measurable outcomes
• Proven ability to lead through change and ambiguity, applying disciplined risk/issue management and controlled change practices in fast-moving environments
• Advanced stakeholder management and influencing skills, building productive partnerships and driving alignment across senior sponsors, partners, and customer communities
• Strong written and verbal communication skills, including executive-ready status reporting, governance facilitation, and decision-making support
• Understanding of standard ML Model development life cycle and Ml flow concepts.
• Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support technical program management workflows with strong validation habits and awareness of data sensitivity.  
• Ability to review and validate AI-assisted plans, risks, and recommendations before use, escalating when uncertain and following data handling expectations. 

Preferred qualifications, capabilities, and skills

  Technical fluency in:

• Cloud: AWS (Lambda, DynamoDB/DAX, ECS), serverless, containers (Kubernetes, Docker)
• CI/CD: Git/GitHub, Jenkins, Maven; infrastructure automation and release orchestration
• Data: Databricks
• Languages/tools: Python, SQL, Spark; collaboration tools (Confluence, Slack)