- Location
- Bangalore, India
- Type
- Full-time
- Department
- Management
- Seniority
- Manager
- Education
- Master
- Source
- Workday
Description
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.