Manager, Data & Information Marketplace

October 15, 2026

Hybrid

Middle

Warsaw

Indeed

Keep in mind

Work authorization required

Also worth knowing

Mandatory office attendance
3 days per week

Description

Enterprise AI function is hiring for the Data & Information Marketplace team, which helps people and AI-enabled tools discover, access, share and reuse valuable data responsibly. The Data Provisioning Operations team manages demand and supply of data across research and business teams, ensuring governance, quality and responsible analytical use. This is an operations, coordination and process-improvement role focused on evolving data provisioning from manual request handling towards a more automated, policy-led service. The position is based in Warsaw with a hybrid model of work.

Responsibilities

Operate and optimise data provisioning processes, improving speed, quality, consistency and efficiency as the service evolves towards automation
Assess requirements against governance, privacy and data-sharing standards and maintain policies, controls and workflows for automated access
Support data users and coordinate data owners, governance and technical teams on complex requests, risks and escalations
Track service activity, identify issues and trends, communicate progress and report on demand, delivery, quality and efficiency
Identify opportunities to simplify workflows, reduce manual effort and use automation and AI to improve productivity
Ensure requests, decisions, approvals, policies, actions and delivery outcomes are accurately recorded and traceable
Help ensure data is accessed and shared in accordance with legal, regulatory, contractual and ethical requirements

Requirements

Experience in operations, service delivery, project coordination or process improvement involving complex workflows or multiple stakeholders
Strong planning, prioritisation and information-management skills with ability to manage competing activities and maintain accurate records
Clear written and verbal communication with ability to build relationships, clarify requirements and progress work through collaboration
Critical thinking to identify information gaps, assess risks, manage exceptions and recognise when escalation is required
Customer and service focus: understanding user needs and delivering a responsive, reliable and increasingly efficient service
Process improvement mindset: simplifying processes, reducing manual effort, using metrics and improving quality and customer experience
Digital and AI curiosity to apply automation tools responsibly to improve productivity and team effectiveness
Familiarity with data governance, privacy, information management or regulated environments is desirable
Collaborative, proactive ownership with confidence to take responsibility, follow through on commitments and escalate issues appropriately
A bachelor's degree in a relevant discipline or equivalent professional experience
Experience in service delivery, shared services, workflow management or continuous improvement using operational metrics or standard operating procedures
Familiarity with data access, data quality, privacy or regulatory requirements such as GxP, GDPR or HIPAA
Experience using workflow automation, self-service models, policy-based access, service management platforms or AI tools
Experience working in pharmaceuticals, healthcare, life sciences or other regulated and geographically distributed organisations

Conditions

Hybrid model of work: 3 days in office, 2 remote per week
Opportunity to develop expertise in data operations, governance, automation and service optimisation
Collaborative team working at the intersection of data, technology, science and responsible innovation
Chance to help shape the future operating model for data provisioning