Director of Data Science - Omnichannel & Customer Analytics - Kite Pharma
Burlingame, CA 94010
About the Job
For Current Kite Pharma Employees and Contractors:Please log onto your Internal Career Site to apply for this job.We’re here for one reason and one reason only – to cure cancer. Every moment is dedicated to developing treatments and every action moves us one step closer to our goal. We’ve made incredible scientific breakthroughs and our pioneering personalized CAR T-cell therapies have changed the paradigm. But we're not finished yet.Join Kite, as we make even bigger advances in cancer therapies, and help shape where our business and medical science goes next.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 Kite and help create more tomorrows.Job DescriptionAt Kite, we are embarking on a transformative journey through our Global Data & Digital Innovation (GDDI) team by delivering a premier healthcare provider (HCP) and patient experience by leveraging advanced data and digital capabilities.We are seeking an experienced and visionary Director of Data Science - Omnichannel & Customer Analytics to join our Advanced Analytics & Data Science team. In this key leadership role, you will be responsible for strategizing and leading data science and machine learning capabilities to support Kite’s omnichannel ambitions.The focus of the Director is to develop advanced data capabilities to enhance and elevate customer and patient experiences across various communication modes, including channels, content, and messaging. Such actions are crucial in helping us fulfill our overarching mission of expanding access to cell therapy for as many eligible patients as possible.Reporting to the Sr. Director of Advanced Analytics & Data Science within the Global Data & Digital Innovation (GDDI) team, the Director will work in close partnership with diverse stakeholders to support the Commercial Sales, Marketing, and Market Access teams. Utilizing an extensive skill set encompassing technical knowhow of advanced modelling techniques, functional expertise, therapeutic area knowledge, communication proficiency, leadership and influencing skills, this individual will strive to achieve impactful results. The Director, internally known as the Director of Marketing Sciences, will collaborate with cross-functional teams to develop analytical frameworks, translate data into strategic decisions and develop state of the art holistic solutions to support our omnichannel aspirations.Key Responsibilities of the Director of Data Science - Omnichannel & Customer Analytics include:
• Strategic and Value Realization: Provide creative and inspirational vision relating to data science in facilitating the development and implementation of best-in-class strategies for omnichannel customer engagement. Collaborate with cross-functional teams to align data science initiatives with overall business goals. Cultivate change and adoption in the organization.
• Omnichannel Orchestration: Develop, operationalize, and enhance omnichannel orchestration by leveraging data science and advanced analytics to address complex needs within HCP journeys.
• Production grade code deployment and ML Operations: This position will also be responsible for coaching a team of commercial ML Ops specialists to develop and maintain / monitor company grade models and production pipelines that can deliver optimized marketing strategies at an individual customer level at scale.
• Strategic Recommendations: Provide strategic recommendations to brand and marketing leads for optimizing key conversion points across sales and marketing channels based on quantitative testing and insight. Translate complex data analyses into actionable business strategies.
• Stakeholder Management: Manage relationships with internal stakeholders, including Sales, Marketing, Omnichannel team, brand teams and other commercial stakeholders. Act as an internal consultant, developing strategies to uncover business opportunities and drive growth.
• Internal Consultancy: Act as an internal consultant by proactively developing strategies to uncover business opportunities and actionable insights that can drive business growth and efficiency.
• Cross-Functional Collaboration: Collaborate with both internal and external vendors to coordinate cross-functional analytics projects. Ensure that advanced analytics is integrated into the front-line consideration of all related teams.
• Subject Matter Expertise and Evaluation: Maintain in-depth knowledge of commercial data sets and act as a subject matter expert in data science & AI capabilities. Stay abreast of emerging data science capabilities and industry trends to enhance personalization and customer engagement models. Evaluate and recommend new capabilities that can improve existing techniques and cultivate business growth.
• Statistical Storytelling: Develop and present data driven solutions and insights in a compelling manner to ensure stakeholder buy-in and support for data driven initiatives.
• Leadership: Provide visionary leadership in the role of data science, driving the development and execution of best-in-class strategies for omnichannel customer engagement. Collaborate with cross-functional teams to align data science initiatives with overall business goals and drive organizational change and adoption.
• Project Management: Assist in project prioritization, and overall project management to ensure the effective implementation of key initiatives.
• Data Ethics: Champion data ethics and ensure rigorous compliance with privacy regulations (GDPR, HIPAA), embedding ethical considerations into all data-related activities.AI/ML Model Development:
• Develop advanced machine learning (ML) models to leverage customer data and other data sources, enhancing customer engagement across various communication platforms such as digital platforms, social media, and CRM data.
• Lead advanced analyses of customer behavior patterns and preferences using cutting-edge techniques, including machine learning, data mining, and predictive analytics. Translate these insights into actionable recommendations for optimizing engagement strategies.
• Spearhead the creation of personalized customer experiences through sophisticated personalization models. Utilize thoughtful insights to tailor marketing content, product recommendations, and communication strategies.
• Create and implement measurement strategies and controlled experiments to understand the impact of our programs and refine them for maximum effectiveness.Basic Qualifications:Doctorate and 8+ years of experienceORMaster’s Degree and 10+ years of experienceORBachelor’s Degree and 12+ years of experienceORAssociate Degree and 14+ years of experienceORHigh School Diploma/GED and 16+ years of experiencePreferred Qualifications:
• +8 years of experience in the pharmaceutical or life sciences industry• Advanced Degree: A Ph.D. or Master’s degree in Data Science, Statistics, Computer Science, Mathematics, Operations Research or a related field is preferred. An MBA or equivalent business qualification is advantageous.• Extensive experience in data science, machine learning and analytics with a proven track record in the pharmaceutical or healthcare sector. • Prior experience in oncology, hematology, and/or rare disease in commercial is preferred.• Technical Proficiency: Deep programming experience in languages such as Python, R, or similar, with the ability to independently develop, test, and implement data programs. Proficiency in using data manipulation and visualization libraries.• Ability to influence and drive analytical projects end-to-end through collaboration. This role requires a high degree of collaboration with cross-functional stakeholders including Omnichannel/Digital teams, Marketing, Sales, Commercial Operations, and IT.• Possess a strong working knowledge of Data Science - tools and approaches, a strong customer orientation and focus, and the ability to thrive in a transformational environment.• Data Science: In-depth knowledge of advanced analytics, machine learning, AI techniques, and their practical applications is essential.• Experience in developing and supporting teams to develop end-to-end ML solutions and applications at large scale, preferably in a cloud environment. A deep understanding of ML Engineering and ML Operations is a plus.• Statistical Analysis: Ability to independently conduct various statistical tests such as correlation, decision tree, regression, and random forest to predict and assess customer behavior in the disease treatment journey (HCPs, patients, etc.).• Leadership Skills: Experience in developing teams to create end-to-end advanced analytics solutions and applications at large scale, preferably in a cloud environment.• Team Leadership: Deep leadership skills with a demonstrated ability to lead a team of external data scientists and analysts.• Data Management: Deep understanding of database structures, data wrangling, cleansing, and manipulation.• Collaborative Skills: Ability to influence and facilitate analytical projects end-to-end through collaboration with cross-functional stakeholders, including Marketing, Sales, Commercial Operations, and Market Access.• Communication Skills: Excellent communication and interpersonal skills, with the ability to convey complex technical concepts to non-technical stakeholders.• Business Acumen: Excellent business acumen and the ability to align data science strategies with overarching business goals.We welcome you to use your Data Science and Omnichannel expertise at Kite to cultivate a socially impactful change and help bring the promise of cell therapy to as many eligible patients as possible.Does this sound like you? If so, please apply today!#IND123#LI-ML1The salary range for this position is: $201,025.00 - $260,150.00. Kite considers a variety of factors when determining base compensation, including experience, qualifications, and geographic location. These considerations mean actual compensation will vary. This position may also be eligible for a discretionary annual bonus, discretionary stock-based long-term incentives (eligibility may vary based on role), paid time off, and a benefits package. Benefits include company-sponsored medical, dental, vision, and life insurance plans*.For additional benefits information, visit: * Eligible employees may participate in benefit plans, subject to the terms and conditions of the applicable plans.Kite is a biopharmaceutical company engaged in the development of innovative cancer immunotherapies with a goal of providing rapid, long-term durable response and eliminating the burden of chronic care. The company is focused on chimeric antigen receptor (CAR) and T cell receptor (TCR) engineered cell therapies designed to empower the immune system's ability to recognize and kill tumors. Kite is based in Santa Monica, CA. For more information on Kite, please visit . Sign up to follow @KitePharma on Twitter at .For jobs in the United States:As an equal opportunity employer, Gilead Sciences Inc. is committed to a diverse workforce. Employment decisions regarding recruitment and selection will be made without discrimination based on race, color, religion, national origin, gender, age, sexual orientation, physical or mental disability, genetic information or characteristic, gender identity and expression, veteran status, or other non-job related characteristics or other prohibited grounds specified in applicable federal, state and local laws. In order to ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veterans' Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact
• Strategic and Value Realization: Provide creative and inspirational vision relating to data science in facilitating the development and implementation of best-in-class strategies for omnichannel customer engagement. Collaborate with cross-functional teams to align data science initiatives with overall business goals. Cultivate change and adoption in the organization.
• Omnichannel Orchestration: Develop, operationalize, and enhance omnichannel orchestration by leveraging data science and advanced analytics to address complex needs within HCP journeys.
• Production grade code deployment and ML Operations: This position will also be responsible for coaching a team of commercial ML Ops specialists to develop and maintain / monitor company grade models and production pipelines that can deliver optimized marketing strategies at an individual customer level at scale.
• Strategic Recommendations: Provide strategic recommendations to brand and marketing leads for optimizing key conversion points across sales and marketing channels based on quantitative testing and insight. Translate complex data analyses into actionable business strategies.
• Stakeholder Management: Manage relationships with internal stakeholders, including Sales, Marketing, Omnichannel team, brand teams and other commercial stakeholders. Act as an internal consultant, developing strategies to uncover business opportunities and drive growth.
• Internal Consultancy: Act as an internal consultant by proactively developing strategies to uncover business opportunities and actionable insights that can drive business growth and efficiency.
• Cross-Functional Collaboration: Collaborate with both internal and external vendors to coordinate cross-functional analytics projects. Ensure that advanced analytics is integrated into the front-line consideration of all related teams.
• Subject Matter Expertise and Evaluation: Maintain in-depth knowledge of commercial data sets and act as a subject matter expert in data science & AI capabilities. Stay abreast of emerging data science capabilities and industry trends to enhance personalization and customer engagement models. Evaluate and recommend new capabilities that can improve existing techniques and cultivate business growth.
• Statistical Storytelling: Develop and present data driven solutions and insights in a compelling manner to ensure stakeholder buy-in and support for data driven initiatives.
• Leadership: Provide visionary leadership in the role of data science, driving the development and execution of best-in-class strategies for omnichannel customer engagement. Collaborate with cross-functional teams to align data science initiatives with overall business goals and drive organizational change and adoption.
• Project Management: Assist in project prioritization, and overall project management to ensure the effective implementation of key initiatives.
• Data Ethics: Champion data ethics and ensure rigorous compliance with privacy regulations (GDPR, HIPAA), embedding ethical considerations into all data-related activities.AI/ML Model Development:
• Develop advanced machine learning (ML) models to leverage customer data and other data sources, enhancing customer engagement across various communication platforms such as digital platforms, social media, and CRM data.
• Lead advanced analyses of customer behavior patterns and preferences using cutting-edge techniques, including machine learning, data mining, and predictive analytics. Translate these insights into actionable recommendations for optimizing engagement strategies.
• Spearhead the creation of personalized customer experiences through sophisticated personalization models. Utilize thoughtful insights to tailor marketing content, product recommendations, and communication strategies.
• Create and implement measurement strategies and controlled experiments to understand the impact of our programs and refine them for maximum effectiveness.Basic Qualifications:Doctorate and 8+ years of experienceORMaster’s Degree and 10+ years of experienceORBachelor’s Degree and 12+ years of experienceORAssociate Degree and 14+ years of experienceORHigh School Diploma/GED and 16+ years of experiencePreferred Qualifications:
• +8 years of experience in the pharmaceutical or life sciences industry• Advanced Degree: A Ph.D. or Master’s degree in Data Science, Statistics, Computer Science, Mathematics, Operations Research or a related field is preferred. An MBA or equivalent business qualification is advantageous.• Extensive experience in data science, machine learning and analytics with a proven track record in the pharmaceutical or healthcare sector. • Prior experience in oncology, hematology, and/or rare disease in commercial is preferred.• Technical Proficiency: Deep programming experience in languages such as Python, R, or similar, with the ability to independently develop, test, and implement data programs. Proficiency in using data manipulation and visualization libraries.• Ability to influence and drive analytical projects end-to-end through collaboration. This role requires a high degree of collaboration with cross-functional stakeholders including Omnichannel/Digital teams, Marketing, Sales, Commercial Operations, and IT.• Possess a strong working knowledge of Data Science - tools and approaches, a strong customer orientation and focus, and the ability to thrive in a transformational environment.• Data Science: In-depth knowledge of advanced analytics, machine learning, AI techniques, and their practical applications is essential.• Experience in developing and supporting teams to develop end-to-end ML solutions and applications at large scale, preferably in a cloud environment. A deep understanding of ML Engineering and ML Operations is a plus.• Statistical Analysis: Ability to independently conduct various statistical tests such as correlation, decision tree, regression, and random forest to predict and assess customer behavior in the disease treatment journey (HCPs, patients, etc.).• Leadership Skills: Experience in developing teams to create end-to-end advanced analytics solutions and applications at large scale, preferably in a cloud environment.• Team Leadership: Deep leadership skills with a demonstrated ability to lead a team of external data scientists and analysts.• Data Management: Deep understanding of database structures, data wrangling, cleansing, and manipulation.• Collaborative Skills: Ability to influence and facilitate analytical projects end-to-end through collaboration with cross-functional stakeholders, including Marketing, Sales, Commercial Operations, and Market Access.• Communication Skills: Excellent communication and interpersonal skills, with the ability to convey complex technical concepts to non-technical stakeholders.• Business Acumen: Excellent business acumen and the ability to align data science strategies with overarching business goals.We welcome you to use your Data Science and Omnichannel expertise at Kite to cultivate a socially impactful change and help bring the promise of cell therapy to as many eligible patients as possible.Does this sound like you? If so, please apply today!#IND123#LI-ML1The salary range for this position is: $201,025.00 - $260,150.00. Kite considers a variety of factors when determining base compensation, including experience, qualifications, and geographic location. These considerations mean actual compensation will vary. This position may also be eligible for a discretionary annual bonus, discretionary stock-based long-term incentives (eligibility may vary based on role), paid time off, and a benefits package. Benefits include company-sponsored medical, dental, vision, and life insurance plans*.For additional benefits information, visit: * Eligible employees may participate in benefit plans, subject to the terms and conditions of the applicable plans.Kite is a biopharmaceutical company engaged in the development of innovative cancer immunotherapies with a goal of providing rapid, long-term durable response and eliminating the burden of chronic care. The company is focused on chimeric antigen receptor (CAR) and T cell receptor (TCR) engineered cell therapies designed to empower the immune system's ability to recognize and kill tumors. Kite is based in Santa Monica, CA. For more information on Kite, please visit . Sign up to follow @KitePharma on Twitter at .For jobs in the United States:As an equal opportunity employer, Gilead Sciences Inc. is committed to a diverse workforce. Employment decisions regarding recruitment and selection will be made without discrimination based on race, color, religion, national origin, gender, age, sexual orientation, physical or mental disability, genetic information or characteristic, gender identity and expression, veteran status, or other non-job related characteristics or other prohibited grounds specified in applicable federal, state and local laws. In order to ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veterans' Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact
ApplicantAccommodations@gilead.com
for assistance.For more information about equal employment opportunity protections, please view the 'Know Your Rights' poster.NOTICE: EMPLOYEE POLYGRAPH PROTECTION ACTYOUR RIGHTS UNDER THE FAMILY AND MEDICAL LEAVE ACTPAY TRANSPARENCY NONDISCRIMINATION PROVISIONOur environment respects individual differences and recognizes each employee as an integral member of our company. Our workforce reflects these values and celebrates the individuals who make up our growing team.Gilead provides a work environment free of harassment and prohibited conduct. We promote and support individual differences and diversity of thoughts and opinion.For Current Kite Pharma Employees and Contractors:Please log onto your Internal Career Site to apply for this job.SummaryLocation: United States - California - Santa Monica; United States - California - Foster CityType: Full time
Source : Kite Pharma