Senior IT Project Manager - Operations Data Hub in Pharma

Fusion Consulting

About The Position

Fusion Consulting is seeking a Senior IT Project Manager with Data Domain and Data Transformation experience to support delivery of an Operations Data Hub initiative in a regulated pharmaceutical environment. The role plans, coordinates, and delivers projects involving data governance, data architecture, metadata management, system integrations, and data transformation, working with business stakeholders, technical teams, and external partners. The project manager leads initiatives from initiation through delivery, coordinating cross-functional activities and ensuring that technical delivery aligns with business requirements and regulatory expectations. The role also supports assessment of the current data landscape, definition of data models and governance processes, integrations across manufacturing, laboratory, analytics, and enterprise systems, and rollout and adoption planning for new data management capabilities.

Requirements

Proven experience managing Data, Analytics, Data Platform, Data Governance, and Data Transformation projects end-to-end in complex global organizations.
Hands-on project management approach with active involvement in requirements gathering, integration delivery, testing, vendor coordination, and deployment activities.
Experience leading cross-functional teams including Data Engineers, Data Architects, Business Analysts, Reporting teams, and business stakeholders.
Strong knowledge of data governance, metadata management, data quality, data ownership, and regulatory/compliance requirements.
Proven ability to manage end-to-end delivery of data transformation initiatives, including roadmap planning, risk management, stakeholder engagement, and change management.
Experience working with integrations involving manufacturing, laboratory, and analytics platforms.
Experience in the pharmaceutical industry (GxP) is a must.
Delivery mindset.

Responsibilities

Lead IT projects within the Data Domain from initiation through delivery.
Manage project scope, timelines, milestones, risks, issues, and dependencies.
Coordinate activities across Data, IT, business teams, and external vendors.
Facilitate project meetings, workshops, and stakeholder discussions.
Drive assessment of the current data landscape, including data access, ownership, and contextualization.
Support definition of data models, metadata management processes, and governance frameworks.
Coordinate integration activities across MES, laboratory systems, analytics platforms, and enterprise applications.
Identify project risks and blockers and drive mitigation actions.
Ensure alignment between technical delivery, business requirements, and regulatory expectations.
Support rollout planning and adoption of new data management capabilities.
Manage requirements gathering, integration delivery, testing, vendor coordination, and deployment activities.
Lead cross-functional teams and manage roadmaps, stakeholder engagement, and change management.