Data Product Management Lead

Responsibilities

• Drive commercial excellence, overseeing the end-to-end data management and data architecture to deliver fit-for-purpose data products and services.
• Shape the data strategy that critically enables digital operations and transform the data stack for advanced analytics and AI needs.
• Lead a diverse team focused on developing and delivering data products, stewarding data, maintaining data quality, and leading data initiatives to meet business needs.
• Serve as the executive champion for the data assets and products, influencing enterprise decision-making, communicating value to stakeholders, and fostering a culture of innovation, accountability, and excellence.
• Collaborate with other functions to design and move towards a common data backbone that offers an integrated customer and patient experience.
• Manage data operations to ensure accurate, timely data delivery to business users across global and affiliates.
• Lead the development of data products addressing business performance needs and develop data solutions to enhance commercial operations.
• Foster a culture of innovation by exploring new technologies, machine learning, and AI to create next-generation data products.

• Bachelor's Degree (preferably in computer science, engineering, healthcare information systems, or similar technical discipline); MBA or other related graduate-level degree (preferred)
• 10+ years of experience in data management roles, with emphasis on commercial data management solutions
• Strong understanding of the pharmaceutical data domain, both global and especially regional & country level ecosystem
• Proven ability to own and manage the full product lifecycle, including visioning, roadmap creation, execution, and impact measurement
• Strong understanding of platforms including MDM (Reltio, Informatica Cloud or others), CRM (Veeva or Salesforce), Marketing Automation (Adobe or others)
• Understanding of Data Mesh architectures on cloud environments (e.g., Redshift, Snowflake, Databrick), to support the continuous deployment of analytical and AI data products
• Strong experience in designing and implementing complex global & cross-country data solutions; working in standard Dev Ops agile setting or bringing agile best-practice mentorship to the team
• Strong leadership and team management abilities, with experience in coaching, developing, and inspiring talent
• Excellent communication and stakeholder management skills, with demonstrated success in facilitating cross-functional collaboration.
• Analytical and problem-solving skills to interpret data insights and drive operational decisions.

Demonstrates expertise in data management and architecture, with a strong focus on commercial data solutions and the pharmaceutical data domain. Proven ability to lead teams in developing innovative data products and fostering cross-functional collaboration to enhance business performance.