Agentic Software Engineering Solutions Lead
- 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
- 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 Engineering as a Service offering provides end-to-end design, implementation, and technology operations, leveraging our core engineering expertise. We help transform engineering teams, modernize technology, & deliver complex programs with a product engineering mindset. Our flexible delivery models- traditional teams, pools, or pods, are tailored for each client's needs, offering engineering-led Advise, Implement, & Operate capabilities to accelerate innovation. Qualifications 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
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
- Delivery Center Location & Travel Requirements:
- Hybrid Work Model: Operate under a hybrid system requiring residence within a commutable distance to one of the US Delivery Center locations (Gilbert, Lake Mary, or Mechanicsburg).
- Co-location Expectation: Spend up to 30% of working time co-located at an assigned office for orchestrated opportunities, including projects, practice sessions, training, and Moments That Matter at a Deloitte Delivery Center location, Geo-Hub location, approved site, or project location
- Travel Requirement: Maximum of 10% overnight travel for client or project purposes
- Relocation Requirement: If relocation is necessary, complete the move within 12 weeks from the start date to reside within a commutable distance
- 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.
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