Exec Director, Commercial Data Science and Data Management
Gilead Sciences
5 hours ago
Remote friendly (San Francisco Bay Area)
United States
IT
Job Responsibilities
- Manage the strategic direction, oversight of data management activities, and data science vision across Insights and Analytics, G9 core countries, and brands.
- Continue to build and evolve data science capabilities for US and Ex-US markets; serve as center of excellence at scale.
- Implement the Commercial data backbone and data science capability; evolve the Data Science and Data Management capabilities backbone for the Commercial organization.
- Lead data science vision and capabilities; build predictive sciences at scale using deep machine learning for investment allocation, Next Best Action, and patient/HCP journey for US and G9 markets.
- Provide oversight/advisory for statistical methodologies and best-practice sharing on data science algorithms.
- Partner with IT ML Ops teams to create operating processes for productionizing data science solutions at scale.
- Drive Omni-channel Analytics capabilities (e.g., automated micro-segmentation, decision engine, integrated patient/HCP journey).
- Provide leadership to operationalize commercial data governance aligned to the Global Data & Analytics backbone implementation.
- Design Data & AI governance and business rules governance; draft, implement, and own data usage policies.
- Define, implement, and manage operating model and change management for data governance across Commercial.
- Co-own leadership of the data office; steer commercial point of view to support impactful use cases.
- Co-own data budget with key affiliates; decide on key data purchases and contracting for simple-to-complex use cases (Omni-channel, digital quantitative patient journey, Next Best Action).
Partner
- Develop and implement harmonized data acquisition, data onboarding, and utilization considerations.
- Serve as internal expert for consulting on existing data sources (pros/cons).
- Organize knowledge-sharing sessions with industry experts and vendor partners.
- Collaborate with Marketing Sciences to deliver actionable insights.
Ensure Data Quality, Privacy and Protection
- Build a team delivering data governance and data quality with affiliates and IT.
- Publish data governance policies (e.g., data quality, data definition, data creation) with the cross-functional governance council.
- Partner with legal/compliance to uphold privacy and compliance requirements across geographies.
- Operationalize technology/process protections for data integrity, privacy, and regulatory compliance.
- Stay current on changing regulations relating to Pharma Commercial Data.
Leadership
- Be a credible commercial data and data science expert partnering with brand and country teams and cross-functional partners.
- Enable data scientists and Marketing Sciences colleagues with resources, tools, and training.
- Negotiate One Gilead contracts with third-party providers.
Basic Qualifications
- Bachelor’s degree with 16+ years experience, or 14+ years with an advanced degree (MBA/MS/Doctoral).
- Proven leadership in pharmaceutical and/or health tech; knowledge of biopharma analytics (descriptive/predictive) and primary research approaches for competitive intelligence and market research (quantitative/qualitative).
- Understanding of emerging capabilities in natural language processing and unstructured data for pharma/healthcare.
- Ability to translate complex data insights into actionable business recommendations.
- Experience recruiting, developing, mentoring executives and building teams of Data Analysts, Data Scientists, and Data Designers.
- Excellent influencing/networking; stakeholder management in a multi-layered global environment.
- Experience with Agile methodology and execution; design thinking.
- Ability to travel internationally as required.
Competencies
- Results orientation; define objectives/priorities, set milestones, assign accountability, and handle issues with contingency plans.
- Team leadership; build/develop/motivate teams; leverage diversity of thought; develop inclusive culture; construct succession plan.
Benefits (explicitly stated)
- Company-sponsored medical, dental, vision, and life insurance plans; position may be eligible for discretionary annual bonus and discretionary stock-based long-term incentives, plus paid time off.
Application Instructions
- Please apply via the Internal Career Opportunities portal in Workday.
- Manage the strategic direction, oversight of data management activities, and data science vision across Insights and Analytics, G9 core countries, and brands.
- Continue to build and evolve data science capabilities for US and Ex-US markets; serve as center of excellence at scale.
- Implement the Commercial data backbone and data science capability; evolve the Data Science and Data Management capabilities backbone for the Commercial organization.
- Lead data science vision and capabilities; build predictive sciences at scale using deep machine learning for investment allocation, Next Best Action, and patient/HCP journey for US and G9 markets.
- Provide oversight/advisory for statistical methodologies and best-practice sharing on data science algorithms.
- Partner with IT ML Ops teams to create operating processes for productionizing data science solutions at scale.
- Drive Omni-channel Analytics capabilities (e.g., automated micro-segmentation, decision engine, integrated patient/HCP journey).
- Provide leadership to operationalize commercial data governance aligned to the Global Data & Analytics backbone implementation.
- Design Data & AI governance and business rules governance; draft, implement, and own data usage policies.
- Define, implement, and manage operating model and change management for data governance across Commercial.
- Co-own leadership of the data office; steer commercial point of view to support impactful use cases.
- Co-own data budget with key affiliates; decide on key data purchases and contracting for simple-to-complex use cases (Omni-channel, digital quantitative patient journey, Next Best Action).
Partner
- Develop and implement harmonized data acquisition, data onboarding, and utilization considerations.
- Serve as internal expert for consulting on existing data sources (pros/cons).
- Organize knowledge-sharing sessions with industry experts and vendor partners.
- Collaborate with Marketing Sciences to deliver actionable insights.
Ensure Data Quality, Privacy and Protection
- Build a team delivering data governance and data quality with affiliates and IT.
- Publish data governance policies (e.g., data quality, data definition, data creation) with the cross-functional governance council.
- Partner with legal/compliance to uphold privacy and compliance requirements across geographies.
- Operationalize technology/process protections for data integrity, privacy, and regulatory compliance.
- Stay current on changing regulations relating to Pharma Commercial Data.
Leadership
- Be a credible commercial data and data science expert partnering with brand and country teams and cross-functional partners.
- Enable data scientists and Marketing Sciences colleagues with resources, tools, and training.
- Negotiate One Gilead contracts with third-party providers.
Basic Qualifications
- Bachelor’s degree with 16+ years experience, or 14+ years with an advanced degree (MBA/MS/Doctoral).
- Proven leadership in pharmaceutical and/or health tech; knowledge of biopharma analytics (descriptive/predictive) and primary research approaches for competitive intelligence and market research (quantitative/qualitative).
- Understanding of emerging capabilities in natural language processing and unstructured data for pharma/healthcare.
- Ability to translate complex data insights into actionable business recommendations.
- Experience recruiting, developing, mentoring executives and building teams of Data Analysts, Data Scientists, and Data Designers.
- Excellent influencing/networking; stakeholder management in a multi-layered global environment.
- Experience with Agile methodology and execution; design thinking.
- Ability to travel internationally as required.
Competencies
- Results orientation; define objectives/priorities, set milestones, assign accountability, and handle issues with contingency plans.
- Team leadership; build/develop/motivate teams; leverage diversity of thought; develop inclusive culture; construct succession plan.
Benefits (explicitly stated)
- Company-sponsored medical, dental, vision, and life insurance plans; position may be eligible for discretionary annual bonus and discretionary stock-based long-term incentives, plus paid time off.
Application Instructions
- Please apply via the Internal Career Opportunities portal in Workday.