Project Manager II

Role overview

Project Manager II at UST

The role will coordinate cross-functional teams across MSD Services and Corporate IT/Enterprise Data Platform teams to ensure the transformation is delivered to agreed scope, schedule, budget and quality.

Technical architecture or engineering expertise is not required; the role is accountable for successful program delivery.

Responsibilities

• Maintain RAID, decision and change-control processes.
• Manage resource and capacity requirements across participating teams.
• Coordinate activities across Prepare, Design, Plan, Migrate, Go Live and Aftercare.
• Ensure business continuity and stakeholder requirements are considered throughout migration.
• Manage handover to the long-term Run & Maintain / DevOps organization.

Preferred qualifications and skills

• Bachelor's degree or equivalent relevant experience.
• PMP, PRINCE2 or equivalent project-management certification preferred.
• Agile / SAFe experience desirable.
• Previous experience delivering a major data-platform or cloud transformation within a large global organization strongly preferred.

Employment details

• Senior Project Manager - Data Platform Transformation Business MSD Services Function Service Innovation & Transformation Duration Approximately 18 months Location Eindhoven / India Position Summary Thermo Fisher Scientific is undertaking a strategic Data Platform Transformation within MSD Services to modernize its data architecture and enable scalable digital services, analytics and future AI capabilities.
• Location: Bangalore [India]

About the employer

• Production cutovers with minimal business/customer disruption.

Benefits

• Controlled retirement of legacy capabilities following migration.

Additional role details

• We are seeking an experienced Senior Project Manager to lead the planning and delivery of the implementation and migration program.
• The role requires strong technology transformation and migration experience, with sufficient knowledge of cloud and modern data platforms to effectively manage technical teams, risks and dependencies.
• Key Responsibilities & Deliverables Project Planning & Governance
• Own the integrated implementation and migration plan, including milestones, dependencies, resources and critical path.
• Establish project governance, RACI, delivery cadence and executive reporting.
• Track delivery against scope, schedule, budget and agreed outcomes.
• Implementation & Migration Delivery
• Coordinate readiness of the Data Platform for production workloads.
• Lead planning and execution of D2i (device telemetry) and BI/data warehouse migrations.
• Establish migration waves, priorities, entry/exit criteria and delivery milestones.
• Manage testing, data reconciliation, UAT, defect resolution and production readiness.
• Own integrated cutover planning, migration runbooks and go/no-go governance.
• Coordinate legacy decommissioning following successful migration.
• Stakeholder & Dependency Management
• Act as the central coordination point across MSD Services, EDP/Corporate IT and technical teams.
• Manage cross-team dependencies, decisions, risks and escalations.
• Facilitate planning sessions, delivery reviews and steering meetings.
• Provide clear and concise status reporting to senior leadership.
• Operational Transition
• Ensure operational readiness is incorporated into migration planning.
• Coordinate documentation, runbooks and knowledge transfer.
• Ensure appropriate support and monitoring arrangements are established before go-live.
• Key Skills & Experience Essential
• 8+ years project/program management experience delivering complex enterprise technology transformations.
• Demonstrated experience leading data, cloud, data warehouse or application migration programs.
• Strong project planning, critical-path, dependency and risk-management skills.
• Experience managing multi-workstream programs with distributed/onshore-offshore delivery teams.
• Strong financial, resource and delivery management capability.
• Proven experience managing testing, production cutover and operational transition.
• Strong stakeholder management across business, engineering and enterprise IT organizations.
• Ability to drive accountability and delivery across teams without direct organizational authority.
• Technical Knowledge Sufficient technical knowledge to effectively manage and challenge engineering teams, preferably covering:
• Modern data platforms / Lakehouse architecture.
• Databricks and AWS or comparable technologies.
• Data lakes, data warehouses and ETL/ELT.
• Data migration, testing and reconciliation.
• CI/CD and DevOps.
• Data governance, security and data quality.
• Key Measures of Success
• Delivery against agreed scope, schedule and budget.
• Successful migration of D2i and BI workloads.
• Predictable milestones, resource requirements and financial forecasts.
• Effective management of cross-team dependencies and risks.
• Successful operational handover and knowledge transfer.