Senior Manager Data Lead

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.

About the role

As an Associate Vice President, AI and Data Solutions on the AI & Data team, you will lead the design and delivery of AI solutions for client engagements. The AI & Engineering practice leverages cutting-edge engineering capabilities to build, deploy, and operate integrated sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions transform mission-critical operations and enable clients to stay ahead with the latest advancements.

Responsibilities

• Lead small engagements or key workstreams within large, complex data and analytics transformations for Healthcare clients
• Design and implement cloud and hybrid data architectures, migration approaches, and technology solutions across data and analytics platforms
• Manage day-to-day stakeholder relationships and align technical delivery to business and program objectives
• Oversee quality of team deliverables and recommendations while contributing to hands-on solution delivery across distributed teams
• Support practice growth through proposal development, thought leadership, and coaching junior practitioners

About 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.

Deloitte's Healthcare Consulting practice is one of the largest in the world, delivering distinctive services to major health plans, healthcare systems, and providers. Our practice transforms care delivery, modernizes the industry, and enhances clients' business and operational models. We enable healthcare providers to improve cost effectiveness and quality of care delivery.

Requirements

• 10+ years experience delivering AI and Data solutions for Healthcare Provider organizations, including enterprise-scale technical experience with cloud and hybrid infrastructures for data and analytics, architecture designs, migrations, and technology management
• 6+ years of hands-on experience modernizing enterprise data platforms and delivering solutions from ideation through production, including:
  • Cloud and on-premises data landscape (e.g., Snowflake, Databricks, BigQuery, Teradata)
  • ETL/ELT tools and data integration patterns within cloud ecosystems
  • Healthcare provider data ecosystems, such as Epic Clarity, Epic Caboodle, or Cerner/Oracle Health databases
  • Clinical data exchange and coding standards, including HL7, FHIR, and ICD
  • Data operations (e.g., orchestration, monitoring, data quality, production support, and incident resolution)
• 4+ years experience leading, managing, and delivering complex AI and Data engagements
• 2+ years of experience shaping executive-level conversations and providing strategic advice, including selling and solutioning data analytics professional services deals
• Ability to travel up to 50% on average, based on client needs
• Limited immigration sponsorship may be available

Preferred Qualifications

• Experience in consulting and client-facing delivery roles
• Experience creating critical collaterals for client workshops and customer interactive sessions
• Experience presenting technical content to both large and small audiences

Pay

The wage range for this role considers factors such as skill sets, experience, training, licensure, certifications, and business needs. The disclosed range estimate has not been adjusted for geographic differentials. A reasonable estimate of the current range is $193,725 to $322,875. You may also be eligible to participate in a discretionary annual incentive program based on individual and organizational performance.