Sr Mgr Project Management - Data Platforms

ABOUT THE ROLE

Role Description:

Amgen is seeking a dynamic Portfolio Manager to lead the development and management of the Data Platforms capabilities within our AI&D organization. As the Portfolio Manager, you will play a critical role in shaping the strategy for the Data Platforms platform, working closely with business stakeholders, data architects, Data/BI Engineers, and IT teams to deliver high-impact solutions that drive data-driven decision-making. This role requires a high level understanding of Cloud Data Platforms, Data Fabric, analytics processes, and project / portfolio management principles to effectively deliver the platforms.

Roles & Responsibilities:

Project & Portfolio Delivery

• Lead the execution of initiatives across the data platforms portfolio, ensuring projects are delivered on time, within scope, and to expected quality standards.
• Coordinate cross-functional teams (Business, engineering, architecture, operations, governance) to deliver tools, technologies and platforms.
• Lead the initiatives for evaluating latest market technologies in the area of data Engineering & Management & Governance

Financial Management

• Own and manage project and portfolio budgets, including tracking actuals vs forecasts, accruals, and reporting on financial performance to stakeholders.
• Partner with Finance, Procurement, and Vendor Management teams to support contract reviews, Platform costs.
• Proactively monitor financial risks and ensure alignment of project spend with approved business cases and funding models.
• Prepare financial summaries and variance reports for leadership and program steering committees.

Planning & Governance

• Maintain integrated plans and roadmaps across projects within the data platforms portfolio.
• Run governance forums, manage stakeholder expectations, and ensure project artifacts, status reports, and RAID logs are consistently maintained.

Stakeholder & Communication Management

• Serve as the central point of contact between technical teams, business stakeholders, and vendors.
• Lead project steering committee meetings and provide clear and concise updates to senior leadership.

Agile & Hybrid Delivery

• Apply agile, SAFe or hybrid delivery methods based on project needs, support backlog grooming, sprint planning, and release planning.
• Promote continuous improvement in delivery through retrospectives and feedback loops.

Must Have skills:

• Demonstrated experience managing project financials (budgeting, forecasting, variance analysis, cost optimization)
• Experience working in large, complex enterprise environments with cross-functional stakeholders
• Familiarity with modern data platforms such as Azure Data Lake, Databricks, Snowflake, Synapse, Kafka, Delta Lake, etc.
• Strong understanding of data management lifecycle, data architecture, and platform components (ingestion, processing, governance, access)
• Excellent interpersonal, presentation, and negotiation skills
• PMP, PMI-ACP, SAFe, or equivalent certifications are a plus

Basic Qualifications and Experience:

• Master s degree with 8-10+ years of experience in Business, Engineering, IT or related field OR
• Bachelor s degree with 10-14+ years of experience in Business, Engineering, IT or related field OR
• Diploma with 14+ years of experience in Business, Engineering, IT or related field

Good-to-Have Skills:

• Strong understanding of Cloud Infrastructure, Data & Analytics tools like Databricks, Informatica, PowerBI, Tableau and Data Governance technologies
• Experience with cloud (e. g. AWS) and on-premises compute infrastructure
• Experience with Databricks platform.

Professional Certifications:

• Project Managerment Certifications
• Agile Certified Practitioner (preferred)
• AWS certification

Soft Skills:

• Excellent interpersonal, presentation, and negotiation skills
• Strong analytical abilities to assess and improve data processes and solutions.
• Excellent verbal and written communication skills, with the ability to convey complex data concepts clearly to technical and non-technical stakeholders.
• Effective problem-solving skills to address data-related issues and implement scalable solutions.
• Ability to work effectively with global, virtual teams