Director, Product Management
Employer · Diligent
R&D manager
IT managerSales and marketing managerFull-timeBudapest
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. You will lead both Product Management and Research, translating customer and market needs into clear product priorities and improving how research is performed at scale.
Tasks
- Own and continuously refine the product vision, strategy, roadmap and prioritisation for the Stewardship Intelligence portfolio.
- Lead, develop and organise the Product Management and Research teams, establishing clear priorities, effective ways of working with AI integration, and strong collaboration.
- Be responsible for improving dataset coverage, methodology, quality, traceability and timeliness using process redesign, automation and AI-enabled approaches.
- Partner closely with Engineering and UX to define, build and launch high-quality product experiences and Data-as-a-Service capabilities.
- Build deep understanding of the needs of institutional asset managers, stewardship and governance professionals, compensation advisers and consultants, and corporate issuers.
- Partner with Commercial, Marketing, Sales and Customer Success to support product positioning, packaging, launch readiness, adoption and ongoing customer value.
Conditions & benefits
Creativity is ingrained in our cultureWe are innovative collaborators by nature and thrive in exploring how things can be differently both in our internal processes and to help our clients.We care about our peopleDiligent offers a flexible work environment, global days of service, comprehensive health benefits, meeting free days, generous time off policy and wellness programs.
Requirements
- 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.
- 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.