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Thomson Reuters

Legal, financial data, and media services

Vice President, Talent Acquisition - Product Engineering

Technical RecruitingPosted on Nov 11
Full-time

About the Job

Requirements

  • At least 10 years of progressive Talent Acquisition experience, including significant experience leading technical, engineering, or other highly specialized recruiting.
  • Demonstrated success leading, building, scaling, or transforming recruiting teams in complex and competitive talent environments.
  • Deep understanding of recruiting specialized technology talent, including AI, machine learning, software engineering, research, architecture, cloud, or data.
  • Experience leading and developing experienced recruiters and building high-performing teams.
  • Ability to advise senior executives on talent strategy, external talent markets, recruiting capacity, workforce needs, and hiring risks.
  • Expertise in direct sourcing, talent mapping, passive candidate engagement, market intelligence, assessment, and closing, with ability to bring a search-oriented approach to in-house recruiting.
  • Analytical capability and experience using recruiting metrics and external talent-market insights to influence decisions and improve outcomes.
  • Executive-level communication, influence, judgment, and change leadership in a complex, global organization.

Responsibilities

  • Develop and lead the Talent Acquisition strategy for Product Engineering, aligning recruiting priorities, capacity, and capabilities with workforce plans and business priorities.
  • Lead, develop, and inspire the Product Engineering recruiting organization, including a team of highly experienced Principal Technical Recruiters.
  • Build a differentiated, search-oriented approach for attracting scarce AI, engineering, research, and other highly specialized technical talent.
  • Serve as a strategic talent advisor to Product Engineering leadership, bringing external market intelligence, talent availability, competitive insights, location considerations, and hiring recommendations.
  • Create an agile recruiting model that allows resources to shift across Product Engineering priorities as business needs and hiring demand evolve.
  • Partner across Product Engineering, HR, Total Rewards, regional Talent Acquisition, and TA Innovation to continually improve hiring strategy, assessment, technology, and candidate experience.
  • Leverage recruiting technology, AI, analytics, and talent intelligence to increase recruiter effectiveness and improve hiring outcomes.
  • Establish and monitor measures of success, including hiring velocity, pipeline quality, conversion, offer acceptance, candidate experience, hiring manager satisfaction, recruiter productivity, and quality of hire.

Desired Qualifications

  • Experience recruiting within technology, SaaS, AI, product engineering, or another highly competitive technical talent environment.
  • Experience developing specialized sourcing, talent intelligence, or search capabilities within an in-house Talent Acquisition organization.
  • Experience supporting globally distributed engineering organizations and recruiting across multiple geographies.
  • Experience developing workforce segmentation, talent mapping, or location strategies.
  • Experience leveraging modern recruiting technology and AI-enabled recruiting tools to improve recruiter productivity and hiring outcomes.
  • Experience strengthening structured technical assessment, interviewing, or candidate evaluation practices.

About the Company

Thomson Reuters

Legal, financial data, and media services

Thomson Reuters provides intelligent information and professional services for law, tax, finance, and media. It serves law firms, corporations, government agencies, and financial institutions with platforms like legal research (Westlaw), tax software (UltraTax CS), financial market data, and news services. These products are accessed through subscription-based platforms, ensuring ongoing updates and a steady revenue stream. The company also monetizes through advertising on media platforms and data analytics sales. It distinguishes itself by offering a broad, integrated suite of industry-specific tools combined with AI, cognitive computing, and machine learning to improve accuracy, efficiency, and predictive analytics in research and data insights. Its goal is to be a trusted partner that helps professionals make informed decisions by delivering reliable information and decision-ready tools while pursuing responsible, values-driven initiatives.

Company size
10,001+
Company stage
IPO
Headquarters
Toronto, Canada
Founded
1851

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