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Director, Product Management

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: United States Digital Space LLC
Full Time position
Listed on 2026-09-26
Job specializations:
  • Business
    AI Business & Operations, Change Management
  • Management
    AI Business & Operations, Change Management
Salary/Wage Range or Industry Benchmark: 120000 - 180000 GBP Yearly GBP 120000.00 180000.00 YEAR
Job Description & How to Apply Below

Reporting to the VP, Product for the company Market Intelligence, you will lead the strategy,roadmapand evolution of Stewardship Intelligence—one of DMI’s core data products. Stewardship Intelligence provides meeting, executive compensation, corporate governance and proxy-voting intelligence to institutional asset managers, stewardship and governance professionals, compensation advisers and consultants, and corporate issuers.

You will lead both Product Management and Research. This is a domain-led role: substantial experience in stewardship, proxy voting, corporate governance, executive compensation, investor relationsor a closely related capital-markets domain is required. You will translate customer and market needs into clear product priorities, improve how research is performed at scale, and ensure that Stewardship Intelligenceremainstrusted,timelyand valuable to its users.

Here’sa breakdown of whatyou’lldo

  • Own and continuously refine the product vision, strategy,roadmapand prioritisation for the Stewardship Intelligence portfolio, covering meeting, executive compensation, corporategovernanceand proxy-voting intelligence.
  • Lead, develop andorganisethe Product Management and Research teams,establishing clear priorities, effective ways of working (with an emphasis on AI integration where possible), strong collaboration and a culture of accountability and continuous improvement.
  • Be responsible for improving dataset coverage,methodology, quality, traceability and timeliness, using appropriate process redesign,automation and AI-enabled approaches without compromising accuracy or trust.
  • Partner closely with Engineering and UX to define, build and launch high-quality product experiences and Data-as-a-Service capabilities that make stewardship intelligence easy to find,understand and use.
  • Builddeepunderstanding of the needs of institutional asset managers, stewardship and governance professionals, compensation advisers and consultants, and corporate issuers. Use customer research, marketinsightand product data to guide decisions.
  • Partner with Commercial, Marketing, Sales and Customer Success to support product positioning, packaging, launch readiness,adoption and ongoing customer value.

These are the essentials you’llneed to get an interview

  • Significant experience in Product Management, Research Operations, Data Products or a related discipline, including experience leading teams and setting strategy for complex products or datasets.
  • Mandatory domain experience in stewardship, proxy voting, corporate governance, executive compensation, investor relationsor a closely related capital-markets domain, with the credibility to engage institutional investors, compensation advisers, governanceprofessionalsand corporate issuers. Candidates without substantial relevant domain experience will not be considered.
  • Demonstrated success owning and delivering B2B SaaS, data or intelligence products from customer discovery and strategy through roadmap execution,launchand ongoing performance improvement.
  • Proven experience leading research or data operations teams responsible for large-scale structured datasets and enterprise-grade quality standards.
  • A track recordof improving manual, people-intensive processes through operating-model redesign, automation or AI whilemaintainingquality,control and team engagement.
  • Exceptional communication, analyticaljudgementand stakeholder-management skills, with the ability to influence senior leaders and work effectively across Product, Engineering, UX, Commercial, Marketing,Salesand Customer Success.

It would be great if you had these too, butwe’llsupport you if youdon’t

  • Experience with Data-as-a-Service, data feeds, datalicensingor other data-product business models.
  • Hands-on experience applying LLMs,…
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