Senior Product Lead

Job Title

Senior Product Lead

Job Description Summary

The Senior Product Lead is accountable for the end to end product lifecycle for one or more strategic GOS technology platforms—from vision and roadmap through delivery, adoption, and long term value realization.
This role goes beyond traditional product ownership. You will:
• Lead and mentor product owners and delivery partners
• Direct cross functional teams to deliver enterprise grade tools
• Drive AI enabled innovation through partnerships with Engineering, Data, and Business Intelligence teams
• Serve as a senior interface between business leadership and the TDS enterprise
You will also lead vendor relationships and select technology contracts, ensuring partners deliver high quality outcomes aligned to product strategy, security standards, and cost expectations.

Job Description

Key Responsibilities

Product Strategy & Vision

• Define and continuously evolve the product vision, roadmap, and success metrics for GOS technology platforms, aligned to enterprise TDS strategy and business priorities.
• Establish a clear point of view on how internal tools, data products, and AI capabilities enable operational efficiency, insight generation, and differentiated client outcomes.
• Balance near‑term delivery with long‑term platform sustainability, scalability, and interoperability across the TDS ecosystem.
• Identify opportunities to productize internal capabilities into reusable, scalable solutions across service lines and clients.

Leadership & Team Enablement

• Lead, mentor, and grow a high‑performing product team, setting clear expectations, standards, and outcomes.
• Create strong operating rhythms across product discovery, delivery, and release management.
• Provide clarity and direction that enables engineering, data, and design teams to deliver predictably and with high quality.
• Foster a culture of accountability, collaboration, and continuous improvement.

Execution & Delivery

• Translate complex business needs into clear epics, user stories, and acceptance criteria grounded in measurable outcomes.
• Partner with internal software engineering, data, and Business Intelligence teams, as well as third‑party vendors, to deliver secure, reliable, and scalable solutions.
• Drive delivery across multiple workstreams, managing dependencies, risks, and trade‑offs.
• Lead release planning, UAT, change management, and adoption strategies to ensure products land cleanly and deliver value.

AI, Data & Intelligent Automation

• Partner with Data, Business Intelligence, and Engineering teams to design and deliver AI agents, data products, and intelligent workflows that enhance decision‑making and operational efficiency.
• Ensure AI‑enabled solutions are secure, explainable, and aligned to enterprise data governance and privacy standards.
• Champion telemetry‑driven product management—using usage data, performance metrics, and insights to continuously improve products.

Enterprise & Stakeholder Partnership

• Act as a senior product partner across the TDS enterprise, aligning GOS priorities with shared platforms, architecture standards, and roadmaps.
• Partner closely with:
  • Sales & Solutions
  • TDS PMO
  • Product Leads across TDS
  • Business Intelligence
  • Software Engineering and Data Teams
• Provide crisp, executive‑ready communication on roadmap progress, KPIs/OKRs, risks, and investment trade‑offs.
• Serve as a trusted advisor to senior stakeholders, translating business strategy into technology execution.

Vendor & Contract Management

• Lead and manage strategic vendors and select technology contracts, ensuring delivery quality, cost effectiveness, and alignment to product objectives.
• Hold partners accountable to outcomes, security standards, and delivery commitments.
• Make informed build‑vs‑buy recommendations grounded in long‑term product and platform strategy.

Governance, Security & Standards

• Maintain authoritative product documentation including workflows, data flows, decision records, and release notes.
• Ensure products adhere to SDLC, security, compliance, and data privacy requirements.
• Drive lifecycle management including versioning, deprecations, and architectural alignment across platforms.

Qualifications & Experience

Education & Experience

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience).
• 8+ years of experience i