Position Summary:

We are looking for a Program Manager to coordinate and govern the portfolio of Data Engineering, DevOps, and Platform Engineering initiatives across the enterprise. Rather than running a single project, you'll orchestrate multiple related projects toward broader business outcomes — owning program strategy, delivery governance, intake, financials, and risk. You'll be the bridge between engineering squads and business/leadership stakeholders, ensuring the right work is prioritized, planned, and delivered predictably. Reports into Data & AI leadership.

Key Responsibilities:

Program Strategy & Business Alignment:

• Translate business objectives into a coordinated program roadmap across Data, DevOps, and Platform teams.
• Ensure every initiative ladders up to a measurable business outcome.
• Partner with engineering leads to sequence work, balance capacity, and manage cross-squad dependencies.

Multi-Project Coordination & Delivery Governance:

• Govern delivery across concurrent projects using NXP's project management methodology.
• Facilitate sprint planning, backlog grooming, and cross-team ceremonies to keep squads unblocked.
• Run delivery governance — status cadences, milestone tracking, RAID logs, and steering reviews.
• Track program KPIs — predictability, milestone adherence, throughput, and quality.

Intake Coordination & Demand Management:

• Own intake for new demand — capturing, triaging, and prioritizing requests into the backlog.
• Coordinate the request desk, ensuring work is assessed, sized, and routed to the right team.
• Translate business requirements (BRD) into epics and user stories with engineering leads.

Financial & Resource Management:

• Own program financials — budget planning, tracking, forecasting, and variance management.
• Manage resource allocation and capacity planning and support headcount/vendor planning.

Risk & Stakeholder Management:

• Identify, assess, and mitigate risks and issues across all workstreams.
• Manage stakeholders across the program lifecycle, communicating progress, trade-offs, and decisions.
• Provide regular, executive-ready reports and dashboards to senior management.

What Success Looks Like (First 6–12 Months):

• In your first 6–12 months, you'll establish a clear program governance framework, stand up a reliable intake and prioritization process, improve delivery predictability across squads, and give leadership clear visibility into progress, risks, and spend.

Required Qualifications:

• Bachelor's/Master's in Engineering, Computer Science, or related field, or an MBA.
• 8+ years in project/program management, including multiple concurrent projects and teams.
• Proven experience with Agile delivery and sprint planning in a software/data engineering environment.
• Strong track record in delivery governance — status reporting, milestone tracking, and steering forums.
• Hands-on experience with intake coordination and demand management for engineering teams.
• Experience with program financials — budgeting, forecasting, and cost tracking.
• Strong risk management, stakeholder management, and executive communication skills.
• Certified project/program management credential (PMP, Prince2, SAFe etc) is preferred.

Preferred Qualifications:

• Experience managing catalog-based intake or a service catalog for engineering demand.
• Experience running a request desk / demand management function.
• Ability to translate BRDs into epics and user stories (BRD → Story).
• Familiarity with Data & AI, Databricks, cloud platforms, or DevOps delivery contexts.
• Working knowledge of tools such as Jira, Confluence, Azure DevOps, or ServiceNow.
• Background in semiconductor, manufacturing, or large-scale enterprise IT environments is preferred.

Competencies:

• Outcome orientation — focuses on delivering business outcomes, not just activity.
• Orchestration — coordinates teams, priorities, and dependencies with clarity and calm.
• Governance discipline — brings structure, cadence, and transparency to complex delivery.
• Stakeholder influence — drives alignment across engineering and business without direct authority.
• Clear communication — translates between technical detail and executive messaging.

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