Senior IT Project Lead - Lead Analytics and Insights Engineer II

The Senior IT Project Lead leads the coordination and execution of complex AI development/implementation projects across the enterprise. 

Work you'll do

As an IT Project Lead on the AI & Data team, you will be responsible for:

• Lead the coordination and execution of complex AI development and implementation projects across the enterprise.
• Align project scope, milestones, and dependencies with mission priorities and stakeholder expectations.
• Coordinate cross-functional teams to remove blockers, maintain cadence, and keep delivery on track.
• Track progress, surface risks and issues early, and drive timely escalation and resolution.
• Ensure project outcomes are delivered with quality, governance, and operational readiness in mind.

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 workstreams
• 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 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.

The Project Delivery Talent Model is designed for professionals with specialized skills that align to a current client need. Team members focus on delivering services to clients, without additional expectations related to business development or promotion. Their employment is tied to their role on a project, and they are eligible for a benefits package that is competitive for project delivery-focused professionals.

Qualifications

Required:

• Bachelor's degree
• Active TS and SCI eligible
• 8+ years of project/program management experience
• 3+ years of project experience with AI architecture, AI Data Governance, data architecture and/or relevant
• Ability to travel 10-15%, 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:

• Experience supporting government or public sector clients
• Experience with artificial intelligence platform operations, governance, or use case enablement
• Experience with Amazon Web Services, Microsoft Azure, or Google Cloud Platform
• Experience coordinating cross-functional teams across product, engineering, and stakeholder groups

For individuals assigned and/or hired to work in Virginia, Deloitte is required by law to include a reasonable estimate of the compensation range for this role. This compensation range is specific to Virginia and takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $137,500 to $229,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.