Director, Product Management

Reporting to the VP, Product for Diligent Market Intelligence, you will lead the strategy, roadmap and 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 relations or 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 Intelligence remains trusted, timely and valuable to its users. 

Here’s a breakdown of what you’ll do 

• Own and continuously refine the product vision, strategy, roadmap and prioritisation for the Stewardship Intelligence portfolio, covering meeting, executive compensation, corporate governance and proxy-voting intelligence. 

• Lead, develop and organise the 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. 

• Build deep understanding of the needs of institutional asset managers, stewardship and governance professionals, compensation advisers and consultants, and corporate issuers. Use customer research, market insight and 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’ll need 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 relations or a closely related capital-markets domain, with the credibility to engage institutional investors, compensation advisers, governance professionals and 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, launch and ongoing performance improvement. 

• Proven experience leading research or data operations teams responsible for large-scale structured datasets and enterprise-grade quality standards. 

• A track record of improving manual, people-intensive processes through operating-model redesign, automation or AI while maintaining quality, control and team engagement. 

• Exceptional communication, analytical judgement and stakeholder-management skills, with the ability to influence senior leaders and work effectively across Product, Engineering, UX, Commercial, Marketing, Sales and Customer Success. 

It would be great if you had these too, but we’ll support you if you don’t 

• Experience with Data-as-a-Service, data feeds, data licensing or other data-product business models. 

• Hands-on experience applying LLMs, machine learning or intelligent automation to regulatory filings and other unstructured documents. 

• Familiarity with data provenance, research methodology, quality frameworks and governance of externally sourced data. 

• Experience in or working closely with organisations comparable market-intelligence providers.