Senior Director — AI-First Platform for Tax & Trade

Thomson Reuters Corp.

Frisco (TX)

Hybrid

USD 158,000 - 293,000

Full time

2 days ago

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Benefits offered by this job

Flexible vacation

Mental Health Days off

Headspace app access

Retirement savings

Tuition reimbursement

Employee incentive programs

Job summary

Thomson Reuters Corp. is seeking a Senior Director of Product Management to shape the Agentic Platform for Tax and Trade.

Lead a high-impact AI-first portfolio across ONESOURCE and related products, partnering with engineering, security, and commercial teams to deliver scalable, trusted solutions for tax, trade, and compliance professionals. You will own the platform strategy, define the roadmap, and drive governance while aligning with global product leaders.

Qualifications

10+ years of product management experience, including 5+ years in a senior leadership role managing platform, multiple product lines, or teams in B2B SaaS, workflow, data, AI, or enterprise software.
Experience with agent tooling and protocols such as MCP, model evaluation, data quality, and LLM cost drivers, along with responsible AI considerations.
Hands-on daily use of frontier AI tools and ability to prototype with agentic tools.
Strong commercial acumen with a track record of monetization, packaging, pricing, adoption, and retention.
Experience in cross-functional, matrixed environments with multiple product lines and familiarity with ERPs and related ecosystems.

Responsibilities

Define and evangelize a long-term platform vision and strategy for the Agentic Platform.
Own the platform roadmap, including orchestration, memory, tooling, identity, permissions, and governance.
Establish plans for functional and agentic AI across a broad ecosystem.
Sponsor market research, competitive analysis, and customer discovery for differentiation.
Create a single platform roadmap with shared priorities across product lines.
Collaborate with product-line VPs to align needs and priorities, resolving trade-offs.
Define developer experience, APIs, and service levels for teams building on the platform.
Set agent evaluation standards (accuracy, explainability, safety) and release gates.
Own unit economics for agentic workloads and pricing models in partnership with Finance.
Establish governance and human-in-the-loop controls for regulated tax, trade, and compliance workflows.
Define success metrics for adoption, reliability, developer satisfaction, and cost efficiency.