Data & AI Delivery Lead

The Hartford•Hartford, CT

23h•Hybrid

About The Position

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future. As a Data & AI Delivery lead you will lead end‑to‑end delivery for high‑impact technology initiatives within EDS—spanning data platforms, integration, and analytics. Leveraging Agile best practices, you’ll orchestrate cross‑functional teams, partner with business and technology leaders, and ensure outcomes are delivered predictably, with quality, and aligned to strategy. Success in this role requires strong Agile leadership, crisp stakeholder communication, and hands‑on program execution.

Requirements

15+ years in technology delivery/program/project management with complex, multiteam initiatives.
Demonstrated Agile leadership (Scrum/Kanban/SAFe) and coaching skills.
Excellent communication and stakeholder management.
Proficiency with delivery tooling (Rally, dashboards) and SDLC governance.
Technology driven mindset with hands on as needed.
Experience in data and analytics delivery and cloud migration (AWS/Snowflake).

Nice To Haves

Certifications: SAFe (SPC/RTE), PMP, PgMP, CSM/PSM.
Background leading vendor/partner teams and optimizing onshore/offshore models.

Responsibilities

Own outcomes for programs/portfolios; establish delivery strategy, guardrails, and success metrics.
Drive execution from initiation through release and stabilization; manage scope, estimates, schedules, risks/issues.
Promote advanced Agile behaviors; coach teams toward self‑organization and continuous improvement.
Lead Implementation of best practices in reliability engineering, including redundancy, fault tolerance, and disaster recovery strategies.
Serve as a trusted point of contact for sponsors and leaders; proactively manage risks and dependencies.
Mentor Scrum Masters/APOs; coordinate partner resources; uphold engineering and documentation standards.
Align delivery with technical design; leverage knowledge of modern data stacks (AWS, GCP, Snowflake, ETL/ELT, BI), Agentic solutions, graph database solutions, CI/CD, and DevOps.
Review & guide in building data engineering principles in the modern data architecture.
Stay up to date with industry advancements in GenAI and apply modern technologies and methodologies to our systems.
Drive the culture of Innovative ideas to improve productivity, quality through GenAI, automation and process improvements.
Be a leader to share innovative ideas, solving customer problems or improving the developer productivity.
This includes leading prototypes (POCs), conducting experiments, and recommending innovative tools and technologies to enhance data capabilities enabling business strategy.