Team Leader Solution Delivery - Information Products; Enterprise Data & GenAI

Team Leader Solution Delivery - Information Products (Enterprise Data & GenAI) What You'll Do

• Lead and develop cross‑functional Agile teams composed of Product Owners, Scrum Masters, Software Engineers, Quality Engineers, and Data/Analytics roles (mix of full‑time and contingent).
• Own people leadership: coaching, development plans, performance management, hiring, team health, and building a trust‑filled culture.
• Drive delivery leadership: sprint health, capacity planning, dependency management, continuous improvement, and predictable execution against roadmap commitments.
• Define and drive product strategy for the team’s products/capabilities, manage OKRs, prioritize outcomes, and align roadmap with stakeholder needs.
• Deliver enterprise‑grade services and capabilities including:
• • Cloud‑native, event‑driven services and APIs
• • Curated data products for analytical consumption
• • Knowledge agents integrated into real business workflows
• • Agentic capabilities: implement repeatable engineering patterns and operating practices for building, running, and evolving agents (e.g., retrieval/knowledge agents, analytical agents, workflow automation).
• Guide modern engineering enablement: CI/CD pipelines, infrastructure‑as‑code, secure‑by‑design principles, and scalable service patterns.
• Build durable stakeholder relationships across the ART and enterprise forums; communicate progress clearly, surface risks early, and unblock delivery.
• Manage vendor contributions and budget guardrails, ensuring delivery remains sustainable and aligned with financial expectations.

• Build trust and clarity across the team: strong coaching cadence, role clarity, and visible growth plans for team members.
• Build trust with stakeholders through predictable execution, transparent communication, and clear roadmap/OKR ownership.
• Deliver tangible progress on delivering engineered AI and agentic enterprise data capabilities while maintaining essential "run and improve" commitments.
• Improve delivery confidence through measurable progress in automation and quality discipline (e.g., stronger automated testing maturity and pipeline reliability).
• Stay close enough to the technology to guide decision‑making, promote reuse, and help engineers solve complex problems — without becoming the bottleneck.
• Lead with curiosity, humility, and a bias toward responsible experimentation — fast learning loops with practical guardrails.

• Demonstrated success delivering enterprise‑scale platforms, services, or shared capabilities used by multiple teams.
• Understanding of event‑driven architecture, microservices, and distributed systems.
• Experience with modern delivery practices: CI/CD, automated testing strategy, observability, reliability engineering, and infrastructure‑as‑code.
• Proven ability to coach engineers and Agile roles to improve execution, quality, and team maturity.
• Strong stakeholder management skills; ability to align diverse priorities and drive outcomes in a matrixed environment.
• Experience leading blended teams (FTE + contingent) and working effectively with vendor partners.
• Strong conceptual understanding of data mesh, data fabric, and data product principles — with the ability to guide teams and stakeholders in applying these patterns to build scalable, domain‑aligned, and reusable data products.
• Familiarity with agentic patterns (tool use, orchestration, safety/guardrails, evaluation/testing approaches).

• Agile delivery tooling (e.g., Azure Dev Ops, Jira), source control + CI/CD fundamentals (e.g., Git Hub repos/actions), and quality/automation discipline.
• Experience in a Scaled Agile environment (SAFe) is a plus.

• Bachelor's degree or direct and applicable work experience.
• Minimum 4+ years of experience managing the implementation and support of a technical solution through the full software development life cycle. This includes experience in leadership, typically gained through formal or informal leadership that demonstrates knowledge of work processes, products and services, and leadership competencies.
• Demonstrated planning and implementation skills.
• Ability to apply job‑specific skills to…