Global Data Acquisition Lead (South San Francisco)

The PositionWho We areRoche - we advance science so that we all have more time with the people we love.The Advanced Analytics for Business Insights (AABI) team, part of the Portfolio Strategy & Insights function, is dedicated to solving complex healthcare challenges and improving patient outcomes. AABI enables our business partners across Global Pharma Strategy (GPS), Medical Affairs (PDMA), Pharma International (PI)and other functions to make impactful decisions by leveraging data, analytics, and AI to enable fast, targeted actions in rapidly evolving business contexts.In AABI, you will work as a trusted advisor and expert, recommending critical decisions and actions to be taken with credibility and a focus on driving measurable impact. You will be part of a diverse, inclusive team that reflects the world we serve, thriving in a welcoming culture built on collaboration and innovation.This role will report to the Head of Data Asset Management.The PositionAs the Global Data Acquisition Lead, you will be leading all data acquisitions across GTM, while also serving as the catalyst for innovation, with out-of-the-box thinking and external partnerships. This role will lead the global commercial data office (GCDO) responsible for driving the data strategy, assess market landscape, evaluate data vendors and source data assets that drive key business outcomes in support of One Pharma Strategy. You will act as a catalyst to enable the AI data ecosystem to drive key initiatives and global AI data products.The lead will operate with an enterprise mindset and work closely with Global Procurement (GP), Finance, Roche Digital Technology (RDT) to enable the platforms and solutions; Global Privacy Office (GPO) to drive compliance policies; key data vendors and partners across the globe to drive acquisition and operations.Key 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 teamsPartner 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 decommissioningEstablish data as an enterprise asset by x-functional partnering & serving as the data steward / expert across the enterpriseLead major data acquisition contracts in partnership with procurementWork 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 assetsServe as the in-house expert of the existing and evolving data assets in the industryWork 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 considerationsEngage 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 dataServe 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 practicesCollaborate with data consumers as the data expert to help deliver actionable insights to the businessAccountable for resource allocation and investments both in the near-term and long-term; work with affiliate leads and finance teams to make resourcing tradeoff decisionsOperate with enterprise mindset, with a strong focus on outcome Qualifications: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 technologyStrong 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 analyticsUnderstanding of emerging capabilities in natural language processing, unstructured data, etc. and potential application in pharma/health careAbility to help translate complex data insights into actionable business recommendationsExcellent influencing and networking skills paired with stakeholder management experience in a multi-layered global environmentExcellent communication and stakeholder management skills, with demonstrated success in facilitating cross-functional collaboration.Experience with Cloud platforms (like AWS) preferredExperience in Agile methodology and execution and design thinking Availability to travel internationally as required Location:This position can be based in South San Francisco or Basel and relocation benefits are not available.The expected salary range for this position based on the primary location of South San Francisco, CA is $160,900 - $298,900 USD Annual. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.Benefits#LI-NN1Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.Job SummaryJob number: 202607-118298Date posted : 2026-07-17Profession: Data Science & AI / MLEmployment type: Full time