Exec Director, Commercial Data Science and Data Management

At Gilead, we’re creating a healthier world for all people. For more than 35 years, we’ve tackled diseases such as HIV, viral hepatitis, COVID-19 and cancer – working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe. We continue to fight against the world’s biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference.
 

Every member of Gilead’s team plays a critical role in the discovery and development of life-changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions, and we’re looking for the next wave of passionate and ambitious people ready to make a direct impact.
 

We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations. Join Gilead and help create possible, together.

Job Description
 

As Executive Director, Commercial Data Science and Data Management, you will report to the VP of Global Decision Sciences and Insights. Based in either Foster City, CA, or Parsippany, NJ (although NJ location is preferable), you would hold responsibility for managing the strategic direction, oversight of all 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 and serve as center of excellence at scale. You would also work in close collaboration with Marketing Sciences, Affiliate Insights and Analytics leadership, the R&D organization, Procurement, Medical Affairs, IT, and other functions at Gilead and is expected to operate with a “one Gilead” mindset.

The ideal candidate will work well with these different functions and stakeholders, to implement the Commercial data backbone and Data science capability. Finally, you would be responsible for evolving the Data Science and Data Management capabilities backbone for our Commercial organization. Integrate and design data strategy of the enterprise to match the most complex use cases of data science to enable simplistic use cases to be managed organically. Create standards of excellence for data quality and work seamless with IT leadership and Affiliate leadership for effective use of process and infrastructure.

Job Responsibilities

• Lead data science vision and capabilities for Gilead commercial and work to build predictive sciences at scale, deep machine learning methodologies that can drive investment allocation, Next best action, Patient and HCP journey for US and G9 markets focused on strategic use cases

• Expert in predictive methodologies and developing applied data science to drive competitive edge for commercial organizations and can provide oversight and be an advisory for statistical methodologies and best practice sharing on data science algorithms

• Partner with IT ML Ops teams and create operating processes for productionizing data science solutions at scale.

• Experience in driving, building and rolling out Omni channel Analytics capabilities including but not limited to automated micro segmentation, decision engine and integrated patient and HCP journey.

• Deep understanding of consumer like digital analytics capability and measurement framework

• Provide leadership to operationalize commercial data governance, in sync with the Global Data & Analytics backbone Implementation & enterprise efforts

• Help design Data and AI governance & business rules governance. Draft, implement and own data usage policies for commercial organization.

• Define, implement and manage operating model and change management considerations for data governance across commercial

• Jointly own leadership of the data office and steer the commercial point of view to support impactful use cases

• Co-own the data budget with key affiliates and be the decision maker of key data purchases and contracting to enable simple to complex use cases including Omni channel, digital quantitative patient journey and next best action

Partner:

• Collaborate with other functional leads to develop and implement a harmonized data acquisition process, data on-boarding, and utilization considerations.

• Serve as the internal expert for consulting on the existing data sources, along with the pros and cons.

• Organize knowledge sharing sessions, bringing in industry experts and vendor partners with information on trends and best practices

• Collaborate with Marketing Sciences as the data partner to deliver actional insights to the business

• Operate and drive with Enterprise mindset, with a strong focus on outcome

Ensure Data Quality, Privacy and Protection:

• Build a team that will deliver data governance, data quality in partnership with affiliate and IT

• Publish key data governance policies (e.g. Data Quality, Data Definition, Data Creation policies), in collaboration with cross functional data governance council

• Partner with legal and compliance to account for and uphold diverse privacy and compliance requirements across geographies.

• Operationalize technology and process-based protections for data integrity, privacy, and regulatory compliance, including assurances for analysis validity

• Be abreast of the changing regulations relating to Pharma Commercial Data and ensure compliance with the regulations – from the systems and data consumption perspective

Leadership:

• Impeccable credibility as a commercial data and data science expert in the industry and partner to the brand teams, country teams and other cross-functional partners

• Enable internal and external data scientists and marketing sciences colleagues to leverage data & systems available by providing resources, tools, and trainings

• Negotiate “One Gilead” mindset to contracts with third party providers

Basic Qualifications

• Bachelor’s degree and a minimum of 16 years experience, or a minimum of 14 years’ with an advanced degree (e.g. MBA/MS or Doctoral degree)

• Proven leadership in the pharmaceutical and or/health tech industry. Knowledge of analytics approaches in biopharma including descriptive and predictive analytics as well as primary research approaches in competitive intelligence, quantitative and qualitative market research

• Understanding of emerging capabilities in natural language processing, unstructured data, etc. and potential application in pharma/health care

• Ability to translate complex data insights into actionable business recommendations

• Recruited, developed, mentored and motivated executives as well as built teams of Data Analysts, Data Scientists and Data Designers that deliver results and achieve objectives to support business needs

• Excellent influencing and networking skills paired with stakeholder management experience in a multi-layered global environment

• Experience in Agile methodology and execution and design thinking

• Availability to travel internationally as required

Competencies

• Results orientation. The ideal candidate will thrive in a fast-paced, high-growth environment. You will have a strong drive to meet and exceed goals, even under adverse circumstances, and is willing to take ownership of problems and make decisions in order to move forward. The candidate will be adept at clearly defining objectives and priorities and establishing appropriate milestones through a strong understanding of the market and innovative approaches. You will assign accountability and incorporate disciplined processes to ensure success and nimbly handle ‘derailments’ with contingency plans and coordination

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  Team leadership. The successful candidate will have demonstrated the ability to build, develop, and motivate a team as evidenced by effective hiring, coaching, and mentoring of direct reports. Additionally, this individual will have a track record of successfully leveraging diversity of thought to achieve the highest level of results. The ideal candidate will develop an inclusive culture comfortable with challenging current market paradigms to achieve and exceed goals. You will also have constructed an appropriate succession plan and process.

• Team leadership. The successful candidate will have demonstrated the ability to build, develop, and motivate a team as evidenced by effective hiring, coaching, and mentoring of direct reports. Additionally, this individual will have a track record of successfully leveraging diversity of thought to achieve the highest level of results. The ideal candidate will develop an inclusive culture comfortable with challenging current market paradigms to achieve and exceed goals. You will also have constructed an appropriate succession plan and process.

• Team leadership. The successful candidate will have demonstrated the ability to build, develop, and motivate a team as evidenced by effective hiring, coaching, and mentoring of direct reports. Additionally, this individual will