Jobs · Minnesota

Director, AI Product Ops

Thomson Reuters · Eagan, MN · 4 wk ago
Hybrid$181k/yrFull-time

About the role

We are seeking an exceptional, transformative Director of AI Product Ops to lead the operational and cultural evolution of Thomson Reuters' Direct Tax & Audit product organization.

Responsibilities

  • Drive operational excellence across our entire software portfolio with "near-zero-overhead."

  • Own product operations across both the Core ("Bedrock") and Agentic ("Catalyst") portfolios, unifying them under a single, highly efficient, and modern operating rhythm.

  • Bridge multi-product dependencies: Own the dependency seam where product commitments break. Build automated tooling and visibility systems to expose cross-team dependencies, GTM milestones, and timelines across Catalyst and Bedrock applications.

  • Support modern SDLC workflows: Ensure that all operational processes and visibility tools integrate seamlessly with our suite of modern agile and AI tools (e.g., Linear, Slack, GitHub, Claude).

  • Collaborate with Customer Success to integrate large-scale customer migrations smoothly into the product-ops framework without interrupting core product execution.

  • Define & execute against metrics that matter: Move the organization away from vanity metrics toward metrics that drive the business forward. Execute a regular cadence that moves the metrics and the business.

  • Drive the AI-maturity roadmap: Lead Direct Tax & Audit's evolution from Level 1 AI usage (individual productivity tools) to Level 2 (shared team infrastructure: e.g., shared prompts, MCP integrations, shared skills) and toward Level 3 (agents acting on systems of record) and beyond.

  • Enable modern PM ways of working: Use the AI-maturity transformation as the vehicle to elevate the PM craft. Lead enablement of PMs on using modern AI tools (e.g., Cursor, v0, Claude Code) and AI-first product development.

  • Build shared capability playbooks: Establish and scale the internal playbooks (covering shared context, agentic workflows, model evaluations, and prompt libraries) that teams adopt as standard, reusable infrastructure.

  • Build and lead a high impact team: Recruit, mentor, and manage a high-performing, lean team of senior program-ops experts, establishing a strong operational cadence and a high bar for talent & execution.

  • Execute a Direct Tax & Audit -wide mandate: Act as an influential change agent across Direct Tax & Audit, brokering alignment and operational commitments with product, engineering, and design teams outside your direct reporting line.

  • Drive the transformation drumbeat & communications: In close partnership with the Head of Direct Tax & Audit Product and the Direct Tax & Audit Product Leadership Team, design and lead a comprehensive change-management communications strategy. Establish a regular, engaging organizational 'drumbeat' to share wins, spotlight successful AI-enabled behaviors, reinforce new ways of working, and maintain high transformation momentum across the division.

Qualifications

  • 10+ years of experience in program management, product operations, or technical operations leadership at scale.

  • Deep familiarity with modern product management practices (ideally within modern tech, high-growth startups, or progressive B2B SaaS), with a clear understanding of how modern PM, Engineering, and Design squads collaborate.

  • Proven experience implementing modern agile SDLC structures and automating project-tracking workflows.

  • Experience in regulated or professional software industries (e.g., tax, legal, audit, finance, or compliance) where data security, accuracy, and AI governance are critical is a strong plus.

  • Demonstrated track record of leading change-management and communication initiatives, upskilling teams, and inspiring cultural transformations to adopt modern, technical capabilities.

  • Demonstrated track record of leading change management initiatives, upskilling teams, and transitioning legacy roles into modern, technical capabilities.

  • Bachelor's degree in Computer Science, Business, Engineering, Management Information Systems, or a related field.

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