Genentech

Genentech

Data Product Manager, Analytical Data Products

South San Francisco

Sponsorship not specified$125k-$233kDetected 12 days ago
SQLAWSGCPAzureData ScienceProduct ManagementProject ManagementCRMCollaborationProblem SolvingAdaptability

About the role

  • Stakeholder Liaison: Act as the primary point of contact for inquiries and demand requests, effectively bridging the gap between business stakeholders and the data product technology team.
  • Architectural Guidance: Guide the team in adhering to data mesh, data fabric, Semantic Layer concepts, and FAIR (Findable, Accessible, Interoperable, Reusable) data principles.

Responsibilities

  • Manage execution from strategy through implementation for a portfolio of Analytical Data Products, driving roadmap development, release management, and continuous optimization.
  • Champion a product operating model mindset, participating in agile routines and collaborating within cross-functional data squads to deliver iterative value.
  • Partner with data owners and cross-functional teams to define and enforce data standards, ensuring data quality, testing, usability, and seamless workflow integration.
  • Maintain and prioritize the data product backlog for your designated portfolio to ensure it efficiently addresses the requirements of evolving business use cases.
  • As a Data Product Manager for Analytical Data Products, you will drive execution from strategy through implementation for a designated portfolio of analytical pipelines.
  • Product Lifecycle Ownership: Manage execution from strategy through implementation for a portfolio of Analytical Data Products, driving roadmap development, release management, and continuous optimization.
  • Agile Collaboration: Champion a product operating model mindset, participating in agile routines and collaborating within cross-functional data squads to deliver iterative value.
  • Data Standards & Quality: Partner with data owners and cross-functional teams to define and enforce data standards, ensuring data quality, testing, usability, and seamless workflow integration.
  • Backlog Management: Maintain and prioritize the data product backlog for your designated portfolio to ensure it efficiently addresses the requirements of evolving business use cases.
  • ​​​​​​​We're passionate about delivering on Our Promise to improve the lives of patients and create healthier communities for all.

Requirements

  • You possess a Bachelor's degree in Business, Technology, Operations, Marketing, Data Science, Information Systems, Business Analytics, Computer Science, or a related field.
  • You have 3+ years of combined experience in data product management, data management, AI, software development, or equivalent experience, with a track record of driving execution from strategy to implementation.
  • You possess working knowledge of Semantic Layer concepts, data governance frameworks, and FAIR data principles.
  • You have proven experience collaborating with Legal, Compliance, and Privacy teams to ensure adherence to governance and regulatory standards.
  • Advanced degree such as an MBA or related graduate-level qualification.
  • Professional experience in data management, technical project management, or business analysis within the pharmaceutical, biotechnology, finance, CPG, or management consulting industries.
  • Experience with omnichannel/digital marketing solutions or CRM systems.
  • Expertise in driving product enhancements based on measurement, optimization insights, and data usage metrics.

Compensation

  • The expected salary range for this position based on the primary location of CA is $125,200 - $232,600.

Benefits

  • We foster a culture of inclusivity, integrity and creativity while boldly pursuing answers to the world's most complex health challenges and transforming society.
  • No relocation benefits are available for this posting

Equal opportunity

  • equal opportunity employer.
  • If you have a disability and need an accommodation in relation to the online
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This listing is sourced directly from Genentech's careers page and normalized into a canonical job model.