Global Data Acquisition Lead

Responsibilities

• Run the Global Commercial Data Office to enable all commercial data acquisition across global and 80+ affiliates, governed through a centralized model, in partnership with the procurement and finance teams
• Partner with stakeholders across GPS, PI, PD, PDMA, affiliates and Roche other divisions, serving as their data stewards/experts to drive fit-for-purpose data acquisition, training, adoption, monitoring usage/value and decommissioning
• Establish data as an enterprise asset by x-functional partnering & serving as the data steward / expert across the enterprise
• Lead major data acquisition contracts in partnership with procurement
• Work in sync with data governance to enable seamless integration of data purchases in the data catalog.
• Collaborate cross-functionally to design, build and operate an enterprise data marketplace, for easy access to information about data assets
• Serve as the in-house expert of the existing and evolving data assets in the industry
• Work closely with peers and senior leaders in - ecosystem insights, CI, global access, therapeutic area teams; affiliate leadership/data & insights champions;
  Genentech data office team - to develop and implement a harmonized data acquisition process, data on-boarding, and utilization considerations
• Engage with data vendors to evaluate their products and offerings in alignment to our business, drive data contracts and enable cost effective enterprise/above-country data procurement strategy, where possible, to maximize the value of data
• Serve as the internal expert for consulting on the existing data sources, along with the pros and cons of the different assets
• Organize knowledge sharing sessions, bringing in industry experts and vendor partners with information on trends and best practices
• Collaborate with data consumers as the data expert to help deliver actionable insights to the business
• Accountable for resource allocation and investments both in the near-term and long-term; work with affiliate leads and finance teams to make resourcing tradeoff decisions
• Operate with enterprise mindset, with a strong focus on outcome

• Bachelor's degree with 10+ years’ experience with extensive knowledge of pharma data and technology; or 6+ years with MBA/MS with extensive knowledge of pharma data and technology
• Strong understanding of the pharmaceutical data domain, both global and especially regional & country level ecosystem.
• Knowledge of commercial operations and analytics approaches in biopharma including descriptive and predictive analytics
• Understanding of emerging capabilities in natural language processing, unstructured data, etc. and potential application in pharma/health care
• Ability to help translate complex data insights into actionable business recommendations
• Excellent influencing and networking skills paired with stakeholder management experience in a multi-layered global environment
• Excellent communication and stakeholder management skills, with demonstrated success in facilitating cross-functional collaboration.
• Experience with Cloud platforms (like AWS) preferred
• Experience in Agile methodology and execution and design thinking
• Availability to travel internationally as required.

Demonstrates extensive knowledge of pharmaceutical data and technology, with a strong focus on data acquisition, governance, and analytics. Capable of translating complex data insights into actionable business recommendations while fostering cross-functional collaboration.