Executive Director, Commercial Data Science & GenAI

Job Description In alignment with our company strategy to enable innovation, growth and productivity by digital and data capabilities, Human Health (HH) has created the Human Health Digital, Data and Analytics (HHDDA) organization. This central organization is focused on using digital, data, and analytics capabilities across the end-to-end commercialization process to drive data-driven decision making on behalf of our patients and customers. As HHDDA continues its transformation to bring premier capabilities to Human Health, we are seeking a dynamic talent for the role of Head of Commercial Data Science & GenAI capability. As the Data Science & GenAI lead, this individual will drive & demonstrate patient, customer & business values and deliver on digital data analytics transformation across HH through rigorous & innovative data science methodologies & setting enterprise data science standards & reusability and leading a thriving data science talent community across HH. This individual will lead a cross functional team on the development and scale-up of AI/ML/GenAI powered products in support of commercial data and analytics activities for our HH portfolio in collaboration with cross functional team members across the enterprise. The combined role will lead a global team of data scientists & external partners and will evolve the team over the next 2-3 years in line with business priorities. The role is based in Rahway, NJ, and will report to the Head of Data Science & Visualization for Human Health in the US. The scope is to cover all therapeutic areas and prioritized markets across the globe. The preferred candidate will have an entrepreneurial spirit, consultative mindset, and an ability to develop analytics solutions to inform commercial strategies. They will have demonstrated consistently strong leadership skills and an ability to hire, motivate and manage large end-to-end analytics teams. This role will require interfacing and collaborating with many teams so strong communication and influencing skills are a must. Primary Responsibilities: Provide thought leadership, education and partnership to the business on the transformative potential of AI/ML and generative AI technologies to drive commercial strategies and decision-making Guide the development of data science-powered products and solutions in close collaboration with cross-functional business and technical teams, aligning to key priorities Lead the standardization and operationalization of advanced AI/ML, generative AI, MLOps, and LLMOps capabilities across our digital product ecosystem to support the Human Health business Develop and deploy comprehensive playbooks to enable analytics practitioners across the organization to rapidly deliver on prioritized use cases Build and lead a high-performing team of top-tier generative AI experts to develop and leverage our proprietary platform, supporting hundreds of use cases Deliver responsible & impactful Generative AI use cases using the proprietary platform, facilitating rapid innovation & capability development Build a motivated analytics team; promote top talent in analytics and at the interface of data science, technology, and business Shape the hiring criteria and development programs of the capability team to mature data science capabilities across regions in line with business demand Contribute to a data-centric organizational environment that enables for empowerment of data scientists across HHDDA & HH team members Drive Design Thinking discipline to shape business demand and co-develop digital solutions with cross-functional teams Keep abreast of emerging business and analytic trends in the industry and collaborate closely with capability team to apply new techniques to drive effective decision-making Understand stakeholders' priorities and help build solutions that support business objectives Contribute to innovative experiments, specifically to idea generation, idea incubation and/or experimentation Keep abreast of new trends and methodologies being implemented / considered within the broader digital, data, analytics industry ecosystem and with our key customers Establish and manage local relationships with vendor partner ecosystem Lead agile working teams, cross-functional stakeholder groups and act as a solution partner for product development efforts Lead the creation of a comprehensive talent strategy for data and analytics professionals that includes onboarding, upskilling, career paths, and community Embody our company's Ways of Working: Operate as One Team, Focus on What Matters, Act with Urgency & Treat Everyone with Dignity & Respect Education: Bachelor's Degree Required Experience and Skills: 12+ years of experience in consulting, data analytics project delivery and managerial roles 10+ years of relevant experience in AI, Machine Learning, quantitative methods, predictive modeling, and other analytics frameworks/techniques 8+ years direct people management experience with a proven track record in performance management, talent development, and coaching Deep understanding of the pharmaceutical industry, market dynamics, and commercial operations Recognized as a thought leader and innovator in the development of new tools, healthcare data ecosystems, and problem-solving approaches for data analytics Experience leading ideation and delivery of commercial decision support and insights platforms Excellent interpersonal, oral, and written communication skills, with the ability to convey complex ideas with clarity and focus Demonstrated ability to manage large, geographically distributed teams with matrix reporting lines Self-motivated, proactive, and able to work independently with minimal direction Proven leadership and influencing skills, along with good analytical / problem-solving skills Excellent organizational skills, with ability to navigate a complex matrix environment Demonstrated ability to collaborate and lead with diverse groups of work colleagues and positively manage ambiguity Strong compliance mindset and ability to lead a high performing compliant innovative organization. Brings high energy and passionate outlook to the role and has a strong sense of leadership Undergraduate degree in analytics/quantitative related discipline Proven ability to lead in a fast-paced, transformative environment Preferred Experience and Skills: Master’s degree in business administration, Analytics, Engineering, Computer science or relevant quantitative field Prior experience building and leading a large end-to-end commercial analytics organization NOTICE FOR INTERNAL APPLICANTS In accordance with Managers' Policy - Job Posting and Employee Placement, all employees subject to this policy are required to have a minimum of twelve (12) months of service in current position prior to applying for open positions. If you have been offered a separation benefits package, but have not yet reached your separation date and are offered a position within the salary and geographical parameters as set forth in the Summary Plan Description (SPD) of your separation package, then you are no longer eligible for your separation benefits package. To discuss in more detail, please contact your HRBP or Talent Acquisition Advisor. Employees working in roles that the Company determines require routine collaboration with external stakeholders, such as customer-facing commercial, or research-based roles, will be expected to comply not only with Company policy but also with policies established by such external stakeholders (for example, a requirement to be vaccinated against COVID-19 in order to access a facility or meet with stakeholders). Please understand that, as permitted by applicable law, if you have not been vaccinated against COVID-19 and an essential function of your job is to call on external stakeholders who require vaccination to enter their premises or engage in face-to-face meetings, then your employment may pose an undue burden to business operations, in which case you may not be offered employment, or your employment could be terminated. Please also note that, where permitted by applicable law, the Company reserves the right to require COVID-19 vaccinations for positions, such as in Global Employee Health, where the Company determines in its discretion that the nature of the role presents an increased risk of disease transmission. Current Employees apply HERE Current Contingent Workers apply HERE US and Puerto Rico Residents Only: Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here if you need an accommodation during the application or hiring process. We are an Equal Opportunity Employer, committed to fostering an inclusive and diverse workplace. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status, or other applicable legally protected characteristics. For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit: EEOC Know Your Rights EEOC GINA Supplement Pay Transparency Nondiscrimination We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively. Learn more about your rights, including under California, Colorado and other US State Acts U.S. Hybrid Work Model Effective September 5, 2023, employees in office-based positions in the U.S. will be working a Hybrid work consisting of three total days on-site per week, generally Tuesday, Wednesday and either Monday or Thursday, although the specific days may vary by site or organization, with Friday designated as a remote-working day, unless business critical tasks require an on-site presence. This Hybrid work model does not apply to, and daily in-person attendance is required for, field-based positions; facility-based, manufacturing-based, or research-based positions where the work to be performed is located at a Company site; positions covered by a collective-bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely. Please note, this Hybrid work model guidance also does not apply to roles that have been designated as “remote”. Under New York State, Colorado State, Washington State, and California State law, the Company is required to provide a reasonable estimate of the salary range for this job. Final determinations with respect to salary will take into account a number of factors, which may include, but not be limited to the primary work location and the chosen candidate’s relevant skills, experience, and education. Expected salary range: $243,500.00 - $383,300.00 Available benefits include bonus eligibility, long term incentive if applicable, health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and sick days. A summary of benefits is listed here. Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status: Regular Relocation: Domestic VISA Sponsorship: No Travel Requirements: 50% Flexible Work Arrangements: Hybrid Shift: Not Indicated Valid Driving License: No Hazardous Material(s): n/a Required Skills: Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Project Management, Software Development, Stakeholder Relationship Management Preferred Skills: Job Posting End Date: 09/5/2024 A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Job Posting End Date:09/05/2024 A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID:R309488