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AI Technical Project Lead​/Engineer - SFL Scientific

Job in Peoria, Maricopa County, Arizona, 85381, USA
Listing for: PowerToFly
Full Time position
Listed on 2026-06-18
Job specializations:
  • IT/Tech
    Data Science Manager, Data Analyst, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Our Deloitte Strategy & Transactions team helps guide clients through their most critical moments and transformational initiatives. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability. Work alongside clients every step of the way, helping them navigate new challenges, avoid financial pitfalls, and provide practical solutions at every stage of their journey-before, during, and after any major transformational projects or transactions.

SFL Scientific, a Deloitte Business, is a U.S. based, data science consulting firm specializing in building mission-specific, artificial intelligence (AI) technologies to support and transform our partners and clients. Our scientists and engineers partner with Deloitte to deliver custom AI capabilities.

Recruiting for this role ends on 8/31/2026.

Work you'll do

You'll operate at the intersection of delivery, technical coordination, and executive communication, ensuring AI work streams progress predictably while stakeholders have the visibility and decisions they need. In this role, you will translate business priorities into well-scoped work, manage delivery across cross‑functional technical teams, and provide clear, concise status and recommendations to clients and internal leaders. You will lead strategic planning and coordination, which may include development of comprehensive data strategies, data and AI governance frameworks, support testing and organizational change management plans, and the establishment of data science environments that allow technical teams to deliver novel products, tools, and services.

  • Technical Program Management & Coordination
    • Collaborate with technical leaders on end-to-end delivery for AI/GenAI and data work streams across one or more client engagements, managing scope, timeline, dependencies, budget and quality
    • Responsible for overall coordination, status reporting, and stability of project‑orientated work efforts within a program
    • Translate business requirements into user stories, technical tasks and drive backlog hygiene (acceptance criteria, prioritization, sizing, and definition of done)
    • Run standups, plan sprints and demos if required, retros to ensure teams are unblocked and delivering commitments
    • Partner with architects, engineers, MLOps, and data science teams to validate feasibility, sequencing, and integration dependencies (e.g., LLM integration, RAG, evaluation, model deployment)
    • Proactively manage RAID (risks, assumptions, issues, dependencies), change control, and release planning to maintain predictable delivery
    • Drive and evaluate estimates by deliverable and work with project teams to optimize program‑related deliverables, including critical path, related inter‑project dependencies, risks and issues
  • Executive Communication
    • Create weekly leadership updates (status, key decisions, risks, mitigations, and asks) tailored to executive audiences
    • Build and deliver clear, structured presentations that connect technical progress to outcomes, timelines, and tradeoffs
    • Facilitate decision‑making by surfacing options, impacts and recommendations—especially when scope, schedule, or technical constraints shift
    • Partner with engagement leadership to prepare steering committees, QBRs, and milestone reviews (talk tracks, visuals, and pre‑reads)
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 provide clear guidance to others
The Team

Our Strategy offering architects bold strategies to achieve business and mission goals, enabling growth, competitive advantage, technology modernization, and…

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