Jobs and Careers

LSHC AI & Data, Manager

Deloitte

Morristown, United Statesfull_timeVerifiedPosted 10 Apr 2025

About the role

LSHC AI & Data, Manager

Data Analytics | Data Engineering

Morristown, New Jersey, United States

Position Summary

The Team
AI & Data is an integrated team of data and AI technologists working across Operate, AI, and Engineering. We serve as a trusted advisor and managed service provider bringing a mix of capability and capacity across data modernization, data ops, AI, and ML. Through our unrivaled breadth and depth of services across every major industry and domain, we help our clients run smarter, faster, and more efficiently. With Deloitte’s AI & Data, our clients have the support they need to continuously develop, innovate, automate, scale, and operate in service of organizational performance and growth.
AI & Data practitioners work with our clients to:

Design and modernize large scale data and analytics programs that promote organizational intelligence, provide embedded capacity, and implement as-a-service based subscription models at scale
Enable day-to-day operations, maintenance and ongoing enhancements of their data platforms and applications as well as managing and governing the underlying data leveraging standardized, automated and AI enabled Data Ops capabilities
Mature their AI and Analytics journey with fluid capacity and flexible capability of AI and Analytics experts complemented with experience hardened assets and curated data sets to experiment with AI and scale their AI and Analytics ambitions

About LSHC Throughout the health ecosystem, you’ll find courageous and inspiring people who are committed to driving transformation, advancing health equity, and leading a well-being revolution. Where you find innovators committed to sustainable progress, you’ll find Deloitte’s Life Sciences & Health Care practice. Our leaders work side-by-side to orchestrate and deliver on the business of science and health. We bring trusted, flexible approaches that foster innovation, harness new technologies, and formulate consumer-driven strategies to engineer a digitally enabled, equitable future of health – starting today.
Work You’ll Do Collaborating amongst team members across several geographies, as a Data Engineer you will design and implement data ingestion, integration & curation pipelines and ecosystems for the enablement and modernization of data warehouses, lakes and meshes leveraging packaged or custom technologies. Use your Life Science & Healthcare industry experience to design and develop industry focused assets.
As a Manager, you will lead and deliver small engagements, or components of large, complex engagements that identify, design and implement creative business and technology solutions for our clients. Using a combination of direct management and hands-on delivery, you will craft solutions for clients, guide and oversee the quality of your team’s deliverables and recommendations, as well as manage day-to-day stakeholder relationships. Managers also contribute to Deloitte’s thought leadership, play a significant role in business development activities (to include, the development and presentation of proposals), and own responsibility for the development of junior staff.
Qualifications
Required:

10+ years of relevant Life Sciences & Healthcare data analytics consulting experience designing and implementing scalable data pipelines
1+ years experience introducing technologies - such as GenAI/AI/ML and automation - into existing lifecycles and business processes
5+ years consulting experience leading, managing and delivering cloud-based data and analytics technology engagements end-to-end with resources in multiple locations
Bachelor’s Degree or equivalent professional experience
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:

Experience with emerging technologies (such as GenAI) and advanced data architectures (ie: Multimodal data management & model design, Data Mesh, Data Fabric, Data Products, etc.)
Experience with Microsoft Azure, Amazon Web Service (AWS) and/or Google Cloud Platform (GCP)
Ability to understand and communicate client strategic business drivers and operational process requirements AND link specific business requirements to AI & Data capabilities.
Demonstrated experience with both the sales c