Build our future together:
Regeneron is founded on the belief that the right idea, combined with the right team, can lead to significant transformations. Our growing global network is dedicated to inventing, developing, and commercializing medicines that change lives for those with serious diseases. In doing so, we are pioneering innovative approaches to science, manufacturing, and commercialization, as well as redefining our understanding of health.
At Regeneron, we are accelerating the adoption of Artificial Intelligence, advanced analytics, and digital innovation to transform how we discover, develop, manufacture, and deliver medicines. We are seeking a Senior Director, AI, Data & Solutions to provide strategic leadership for our enterprise AI, Data, and Digital Solutions organization. In this role, you will shape and implement the enterprise AI and data strategy, build and lead high-performing multidisciplinary teams, drive the delivery of transformative AI and analytics solutions, and partner with executive team members to create measurable business and scientific value. You will play a critical role in helping Regeneron remain at the forefront of innovation while ensuring responsible, scalable, and secure adoption of AI and data technologies.
When & where:
Hyderabad (Hybrid)
Discover your role:
Develop and implement a comprehensive AI, Machine Learning, and Data strategy aligned with enterprise priorities across research, development, manufacturing, commercial, and corporate functions.
Serve as an enterprise leader with vision and advocate for AI, analytics, and advanced digital solutions, translating emerging technologies into business and scientific outcomes.
Accelerate the adoption of Machine Learning, Generative AI, and advanced computational capabilities that support scientific discovery, clinical development, and operational excellence.
Design and implement scalable, cloud-native AI and data platforms that enable self-service analytics, governed data access, and rapid deployment of AI solutions.
Partner with executive leadership to shape technology and business strategy while providing trusted guidance on AI and data investments.
Lead executive communications, strategic briefings, and governance forums that provide insight into portfolio performance, business impact, and future opportunities.
Build, mentor, and inspire a diverse team of AI/ML scientists, data engineers, analytics professionals, and solution architects, fostering a culture of innovation, accountability, and continuous learning.
Establish strong operating models, communities of practice, and talent development programs to support long-term organizational growth and capability building.
Oversee the end-to-end delivery of AI, Data, and Digital Solutions programs from concept through implementation and value realization.
Define and implement delivery standards, engineering procedures, and operating methodologies including Agile, MLOps, and DataOps.
Establish KPIs and performance metrics to measure solution adoption, operational performance, and business outcomes.
Lead enterprise data governance, architecture, and compliance initiatives to ensure quality, security, scalability, and regulatory compliance across data and AI platforms.
Drive innovation and continuous improvement by evaluating emerging technologies, optimizing investment portfolios, and seeing opportunities to create enterprise value through AI and data-driven solutions.
This role requires:
Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or a related technical discipline.
Advanced degree or equivalent experience (Master's or PhD) in AI, Data Science, Engineering, or a related field preferred.
15+ years of progressive experience in AI, Data Analytics, Digital Engineering, or advanced computational technologies.
10+ years of leadership experience managing large-scale teams and senior managers within complex, global organizations.
Proven experience developing and accomplishing enterprise AI, Machine Learning, and Data Analytics strategies.
Demonstrated success delivering AI and data platforms and solutions from strategy through production deployment and business value realization.
Deep expertise in AI/ML technologies including Generative AI, Natural Language Processing, Computer Vision, Agentic Systems, and MLOps platforms.
Strong experience with cloud-native data platforms and modern data architecture patterns across AWS, Azure, or Google Cloud environments.
Expertise in enterprise data governance, data quality, metadata management, and regulatory compliance requirements.
Broad technology acumen spanning data engineering, solution architecture, infrastructure, security, and API-based integrations.
Exceptional strategic thinking, executive presence, communication, stakeholder management, and organizational leadership capabilities.
Experience in life sciences, biotechnology, pharmaceutical, healthcare, or other highly regulated industries.
Experience working with GxP-regulated environments and healthcare data regulations.
Relevant certifications such as AWS/Azure/GCP Machine Learning certifications, PMP, SAFe, CDMP, or related credentials.
Proven track record of converting emerging technologies into measurable business outcomes and enterprise transformation initiatives.
Ability to influence senior collaborators and lead complex digital transformation programs across global organizations.
Does this sound like you? Apply now to take your first step towards living the Regeneron Way! We are committed to building a workplace with an inclusive culture. Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, sexual orientation, gender identity or expression, gender reassignment, marital or civil partnership status, civil status, pregnancy or parental status, age, disability, nationality, citizenship status, ethnic or national origin, membership of the Traveler community, familial status, genetic information, military or veteran status, or any other characteristic protected under applicable law. Where required, we will provide reasonable accommodation to applicants with known disabilities or chronic illnesses during the recruitment process, unless such accommodation would impose undue hardship.
Where necessary, we disclose salary ranges for roles in all countries in which we operate. The final offer will be determined within the relevant range based on the country of employment, specific role level, and your skills and experience. In some countries, collective bargaining agreements (CBAs) may apply and influence certain elements of pay or benefits. Regeneron offers a competitive and comprehensive total rewards package which may include, depending on country and role: annual bonuses or other incentive plans, equity awards, pension or retirement benefits, 401(k) company match, health and wellness programs, fitness centers, insurance benefits (e.g. medical, dental, vision, life and disability), paid time off, and family support benefits. For additional information about Regeneron benefits in the U.S., please visit https://careers.regeneron.com/en/working-at-regeneron/total-rewards/. For other locations, additional information will be provided during the recruitment process. If you have any questions, please speak with your recruiter.
Please be advised that at Regeneron, we believe we do our best work when we are together. For that reason, many roles are required to be performed on‑site. Please speak with your recruiter and hiring manager for more information about on‑site expectations for your role and location.
As part of the recruitment process, certain background checks may be conducted in accordance with the laws of the country where the position is based. The purpose of such checks is to verify certain information prior to the commencement of employment such as identity, right to work and educational qualifications.
For jobs in Canada: this posting is for an existing position.
Skills Required
- Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or related technical discipline
- Advanced degree (Master's or PhD) in AI, Data Science, Engineering, or related field
- 15+ years progressive experience in AI, Data Analytics, Digital Engineering, or advanced computational technologies
- 10+ years leadership experience managing large-scale teams and senior managers in complex, global organizations
- Proven experience developing and accomplishing enterprise AI, Machine Learning, and Data Analytics strategies
- Demonstrated success delivering AI and data platforms and solutions from strategy through production deployment and value realization
- Deep expertise in AI/ML technologies including Generative AI, NLP, Computer Vision, Agentic Systems, and MLOps platforms
- Strong experience with cloud-native data platforms and modern data architecture patterns across AWS, Azure, or Google Cloud
- Expertise in enterprise data governance, data quality, metadata management, and regulatory compliance requirements
- Broad technology acumen across data engineering, solution architecture, infrastructure, security, and API-based integrations
- Define and implement delivery standards and operating methodologies including Agile, MLOps, and DataOps
- Exceptional strategic thinking, executive presence, communication, stakeholder management, and organizational leadership
- Experience in life sciences, biotechnology, pharmaceutical, healthcare, or other highly regulated industries
- Experience working with GxP-regulated environments and healthcare data regulations
- Relevant certifications such as AWS/Azure/GCP Machine Learning certifications, PMP, SAFe, CDMP, or related credentials
- Ability to influence senior collaborators and lead complex digital transformation programs across global organizations
Regeneron Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Regeneron and has not been reviewed or approved by Regeneron.
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Healthcare Strength — Medical, dental, and vision coverage is positioned as comprehensive, with Regeneron prescription drugs covered at 100% for those enrolled in the medical plan. Mental health support is also emphasized through EAP access and tools like Talkspace and the Journey app.
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Equity Value & Accessibility — Stock grants are described as available to all employees, strengthening the overall total-rewards package beyond base pay. Long-term incentives and stock-related rewards are repeatedly framed as meaningful components of compensation.
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Parental & Family Support — Paid parental leave is paired with fertility/adoption assistance and childcare-related support such as discounts and nanny services. Additional family-oriented resources extend to elder care, pet care, and education support like college coaching and tutoring.
Regeneron Insights
What We Do
At Regeneron we believe that when the right idea finds the right team, powerful change is possible. As we work across our expanding global network to invent, develop and commercialize life-transforming medicines for people with serious diseases, we’re establishing new ways to think about science, manufacturing and commercialization. And new ways to think about health. Connect with us so we can learn more about you, and you can learn more about our biopharmaceutical medicines. And join us, as we build a future we believe in. Please visit www.regeneron.com/social-media-terms for information on how to engage with us on social media. An important note about privacy: Regeneron is committed to your privacy and will not ask for sensitive personal information such as social security number, date of birth or bank account details via email or social media.







