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AI Solutions Manager, Life Sciences R&D Pharmaceutical - Regulatory
AI Solutions Manager, Life Sciences R&D Pharmaceutical - RegulatoryDeloitte • Cleveland, OH, US
AI Solutions Manager, Life Sciences R&D Pharmaceutical - Regulatory

AI Solutions Manager, Life Sciences R&D Pharmaceutical - Regulatory

Deloitte • Cleveland, OH, US
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AI & Engineering Manager

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated / verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Recruiting for this role ends on 11 / 15 / 2025.

Work You'll Do

As a Manager you will lead and deliver engagements, or components of large, complex engagements. These projects identify, design, and implement creative business and technology solutions for clients. Using direct management and hands-on delivery, you will craft solutions for clients. You will guide and oversee your team's deliverables and recommendations. You will also manage daily stakeholder relationships. Managers contribute to Deloitte's thought leadership. Managers play a key role in business development activities, including developing and presenting proposals. Managers are also responsible for developing junior staff.

The Team

Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.

Across life sciences you'll find innovators who are developing therapies, treatments, devices, and cures to meet society's most pressing health challenges and deliver wellness for all. Alongside them, you'll find our leaders, the professionals of Deloitte's Life Sciences practice, who are orchestrating and delivering the business of science and health. We help drive impact through deep industry experience and insights; transformative strategies; trusted, flexible approaches; and new technologies. We help accelerate action and create connections that empower a digitally enabled, equitable future of health.

Qualifications

Required :

  • 6+ years Life Sciences consulting or industry technology experience driving digital transformation and innovation by delivering impactful data and AI analytics solutions
  • 4+ years of experience with Life Sciences Pharmaceutical R&D regulatory data lifecycle . Experience to include introducing new technologies like GenAI, AI / ML, and automation into existing R&D business processes and across workflows
  • 2+ years experience with Python, SQL and AI / ML
  • 1+ years experience leading, managing and delivering complex engagements with resources in multiple locations
  • Bachelor's Degree
  • Ability to travel up to 50% on average, based on the work you do and the clients and industries / sectors you serve
  • Limited immigration sponsorship may be available

Preferred :

  • Understanding of pharmaceutical regulatory data and regulatory filing requirements and generating submissions packages
  • Experience with submissions management, labeling, CMC change control and / or LCM processes
  • Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud)
  • Understanding of emerging technologies and advanced data architectures is important. This includes multimodal data management, model design, Data Mesh, Data Fabric, and Data Products
  • Ability to create critical collaterals for client workshops and customer interactive sessions
  • Presentation skills with a high degree of comfort with both large and small audiences
  • Demonstrated experience with the sales cycle by helping frame client opportunities. Participated in the pursuit team by creating proposal content for client discussions.
  • An advanced degree in an area of specialization
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    Manager Life Science • Cleveland, OH, US

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