What are the responsibilities and job description for the US E - GPS Consulting Services - Agentic Engineering Manager - AI&E - AI & Data - Internal Core - MySource 675138 position at Deloitte US?
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
As a Lead Software Engineer II on the Deloitte Government & Public Services AI & Data team, you will be responsible for…
- Lead intake, prioritization, sequencing, and delivery planning across AI-enabled software and engineering workstreams
- Translate stakeholder objectives into actionable requirements, user stories, acceptance criteria, and delivery plans
- Coordinate dependencies across technical teams and stakeholders to maintain delivery flow and resolve blockers
- Oversee quality, completeness, and readiness of deliverables before release to client stakeholders
- Guide teams on software development life cycle practices, prompt engineering approaches, systems thinking, and delivery execution
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 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.
Required:
- Bachelor's degree in Computer Science, Computer Engineering, Information Systems, Data Science, Business Analytics, or Mathematics
- 8 years of experience in software engineering, software delivery, or technical program delivery
- 3 years of experience leading engineering teams, delivery teams, or technical workstreams
- Experience defining requirements, user stories, acceptance criteria, and delivery plans for software or artificial intelligence solutions
- Experience with generative artificial intelligence, prompt engineering, software development life cycle processes, and systems-based problem solving
- Ability to travel 10-50%, 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 federal, state, local government, or higher education clients
- Experience with Agile, Scrum, or Kanban delivery frameworks
- Experience managing artificial intelligence, data, analytics, or platform implementation programs
- Experience using Jira, Azure DevOps, or similar work management tools
- Master's degree in Computer Science, Information Systems, Business Analytics, or Business Administration
- Project Management Professional (PMP), Certified ScrumMaster (CSM), or SAFe certification
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.