Lead Project Data Engineering Manager

Location: City of Rochester

Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients’ success. You’ll work alongside talented professionals reimagining and reengineering 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.

Work You’ll Do

Lead complex Medicaid encounter and data delivery work streams that help government clients improve operations, decision-making, and mission outcomes. In this role, you will drive day-to-day project execution, coordinate cross-functional teams, and support leadership with clear reporting, risk management, and delivery oversight. You will also bring technical depth to client deliverables, code review, and team coaching across data and analytics efforts. This is an opportunity to combine project leadership, stakeholder coordination, and data engineering support in a high-impact environment.

As

a Lead Data Engineer II on the AI & Data team, you will be responsible for…

Lead day-to-day management of Medicaid encounter work streams, including workplan ownership, milestone tracking, and risk escalation with recommended mitigation actions.

Coordinate weekly status reporting across work streams, review submissions for completeness and accuracy, and support leadership review prior to delivery.

Manage staffing and delivery coordination, including competing priorities, team burn monitoring, and onboarding support for new practitioners.

Facilitate client and internal meetings, including recurring status meetings and ad hoc working sessions, and support invoice review and update coordination for leadership approval.

Provide technical and cross-portfolio support through deliverable review, SQL and code peer review, practitioner coaching, and promotion of data engineering best practices.

A successful candidate would possess these skills:

Ability to work independently and collaborate as part of a team Effective written and verbal communication skills

Meticulous attention to detail and quality of work product

Ability to build and sustain professional relationships

Ability to lead projects or work streams

Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment

Strong interpersonal skills and professional demeanor

Ability to meet deadlines

Ability to mentor and provide clear guidance to others

The team

Deloitte’s Government & Public Services (GPS) practice – our people, ideas, technology and outcomes – is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.

Qualifications

Required:

Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, Mathematics, Statistics, or a similar quantitative field

6+ years of experience in data engineering, data management, or technology delivery

3+ years of experience leading project workplans, milestone tracking, status reporting, and risk management for data or technology programs

2+ years of experience using Structured Query Language (SQL) for data analysis, validation, or code review

2+ years of experience supporting Medicaid, healthcare, or public sector data programs

Ability to travel 15-30%, on average, based on the work you do and the clients and industries/sectors you serve.

Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

Master’s degree in Computer Science, Engineering, Information Systems, Data Science, Mathematics, Statistics, or Public Health

2+ years of experience with Snowflake or another…