Job Summary

We are seeking a Senior Project Manager to support a large-scale Data Warehouse Modernization Program (~200,000 hours, multi-year). This role will partner closely with the Program Manager leadership team to drive parallel workstreams, manage cross-functional dependencies, and ensure predictable delivery within cost and timeline commitments.

The ideal candidate will have strong experience managing complex data transformation programs, handling multi-stream execution, and driving governance in hybrid ( Agile + Waterfall ) environments.

Location: Bangalore

Key Responsibilities Delivery Execution Management

- Own end-to-end delivery of multiple parallel workstreams (35 streams)
- Develop and manage integrated master schedule (IMS) and delivery plans
- Track milestones, critical path, and deliverables
- Drive execution to ensure on-time, high-quality delivery

Dependency Workstream Orchestration
- Identify and manage cross-workstream dependencies
- Enable safe parallelization / shift-left execution strategies
- Conduct dependency reviews, execution war rooms, and alignment forums
- Resolve integration bottlenecks and sequencing conflicts

Financial Effort Governance
- Track effort burn vs baseline (200K+ hours program)
- Monitor:
- Resource utilization
- Budget adherence
- Cost variances

- Support forecasting, re-baselining, and cost optimization

Risk, Issue Change Management
- Maintain and actively manage RAID logs
- Identify risks related to:
- Parallel execution
- Data migration
- Integration dependencies

- Drive proactive mitigation and escalation management

Stakeholder Management Reporting
- Interface with:




- Program Manager
- Client stakeholders
- Architecture Data teams

- Provide:

- Executive-level status updates
- Insightful reporting (risks, trends, decisions needed)

Agile Hybrid Delivery Governance
- Manage delivery across:
- Agile teams (ETL, pipelines, reporting)
- Waterfall phases (migration, platform setup)

- Support:

- Sprint planning, PI planning
- Milestone-based governance

Quality Release Management
- Define entry/exit criteria for key phases
- Oversee:
- Integrated testing coordination
- Release readiness across streams

- Ensure data quality and validation checkpoints

Team Leadership
- Lead large distributed teams (3080+ resources)
- Coordinate workstream leads and delivery pods
- Foster accountability, collaboration, and delivery discipline

Required Experience Must-Have

- 1218 years of overall experience
- 7+ years in Project/Delivery Management roles
- Proven experience in:
- Large-scale programs (>100K hours / $10M+)
- Data Warehouse / Data Lake / Cloud Modernization initiatives

- Experience managing parallel workstreams and complex dependencies

Preferred
- Experience in:
- Cloud data platforms (Azure, AWS, Snowflake, Databricks)
- Data migration / legacy modernization programs




- Multi-vendor or global delivery environments

Required Skills Delivery Governance
- Integrated planning (MS Project / Smartsheet / Primavera)
- Dependency critical path management
- Earned Value Management (EVM)

Technical Awareness
- Data warehousing concepts
- ETL/ELT pipelines
- Data modeling (dimensional / lakehouse)
- Familiarity with modern cloud data ecosystems

Parallel Execution Expertise
- Managing scaled delivery with multiple concurrent streams
- Handling shift-left execution challenges
- Conflict and dependency resolution at scale

Financial Commercial Acumen
- Budget management and forecasting
- Effort tracking and variance analysis
- Cost control and optimization

Communication Leadership
- Excellent stakeholder communication
- Executive reporting and storytelling
- Strong negotiation and conflict resolution skills

Agile / Hybrid Delivery
- Experience in Agile (Scrum / Secure)
- Ability to manage hybrid delivery models

Key Success Traits
- Structured, execution-focused mindset
- Ability to anticipate risks early
- Strong ownership and accountability
- Comfortable operating in ambiguous, fast-paced environments
- Ability to challenge assumptions and drive fact-based decisions

Screening Criteria (Nice to evaluate early)
- Has managed parallel workstreams at scale
- Demonstrates financial and effort governance maturity
- Has handled data transformation programs (not just generic IT PM)

Reporting Structure

Reports to: Program Manager

Works closely with: Workstream Leads, Architects, Data Engineers, Client Stakeholders

📌 Project Manager / SM (Bengaluru)
🏢 NTT DATA Business Solutions
📍 Bengaluru