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Diligent

Director of Product Management– Data Products

Reposted 3 Days Ago
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In-Office
2 Locations
200K-250K Annually
Senior level
Easy Apply
In-Office
2 Locations
200K-250K Annually
Senior level
Lead the strategy and execution of the Data Platform, partnering with engineering and data science teams to deliver a unified data fabric enabling AI-driven analytics and reporting. Drive adoption and governance of the data platform while mentoring and leading a PM team.
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About Us

Diligent is the AI leader in governance, risk and compliance (GRC) SaaS solutions, helping more than 1 million users and 700,000 board members to clarify risk and elevate governance. The Diligent One Platform gives practitioners, the C-Suite and the board a consolidated view of their entire GRC practice so they can more effectively manage risk, build greater resilience and make better decisions, faster. 

At Diligent, we're building the future with people who think boldly and move fast.  Whether you're designing systems that leverage large language models or part of a team reimaging workflows with AI, you'll help us unlock entirely new ways of working and thinking.  Curiosity is in our DNA, we look for individuals willing to ask the big questions and experiment fearlessly - those who embrace change not as a challenge, but as an opportunity.  The future belongs to those who keep learning, and we are building it together.  At Diligent, you’re not just building the future - you’re an agent of positive change, joining a global community on a mission to make an impact.

Learn more at diligent.com or follow us on LinkedIn and Facebook

Position Overview

The Director of Product Management, Data Products will lead the strategy, roadmap, and value realization for Diligent’s data assets. While our Engineering partners manage the underlying infrastructure and platform stability, this role focuses on the "Data as a Product." You will be responsible for transforming raw information into a high-value "Intelligence Fabric" that fuels AI-driven experiences, advanced analytics, and advanced tooling for our customers. 

As the primary champion for our Data-as-a-Service (DaaS) vision, you will ensure our data is discoverable, usable, and valuable across the entire GRC ecosystem. You will act as the bridge between business outcomes and technical execution, defining the semantic and logic layers that turn a data lake into a competitive advantage.

Key Responsibilities

  • Define the vision and roadmap for GRC data products to ensure our data is the most discoverable and valuable asset in the industry
  • Identify unmet needs in the market where Diligent’s unique data footprint can create entirely new revenue streams
  • Partner with Commercial and Marketing teams to package, price, and launch data-centric features. You will ensure our data products drive a high-margin, scalable business line
  • Collaborate closely with Engineering Leadership (who own the core data platform and infra) to ensure the technical roadmap is aligned with customer and product needs
  • Lead and mentor a high-performing team of Product Managers focused on data utility. You will be the primary champion for our Data-as-a-Product philosophy, influencing stakeholders across the organization to prioritize data-first thinking

 

Required Qualifications


  • 10+ years of product management experience, with 5+ years in high-impact leadership roles
  • Proven ability to identify high-value signals within massive, complex datasets
  • Built and delivered proprietary data products to large enterprise customers using a strategic combination of data curation and creation
  • Designed data features that become essential to the user experience, driving product adoption and long-term retention
  • Excellent at linking unrelated data points to create new, actionable narratives for stakeholders
  • Expert in creating and utilizing synthetic datasets to accelerate product development and AI model training
  • Experience combining publicly available information with semi-structured SaaS data to generate unique insights
  • Ability to translate complex data concepts into compelling "Whys" for executive stakeholders and non-technical customers
  • Deep understanding of data tech stacks such as Snowflake, Databricks, or Redshift, semantic layers, and vector databases to deliver value 


Preferred Qualifications

  • Experience with DaaS (Data-as-a-service) business models or monetizing data assets
  • Familiarity with regulatory and governance requirements (GDPR, SOC2) as they relate to data productization
  • Experience driving organizational AI transformation through structured data assets
  • Prior experience in GRC, FinTech, or Enterprise SaaS domains

U.S pay range
$200,000$250,000 USD

What Diligent Offers You 

  • Creativity is ingrained in our culture. We are innovative collaborators by nature. We thrive in exploring how things can be differently both in our internal processes and to help our clients
  • We care about our people. Diligent offers a flexible work environment, global days of service, comprehensive health benefits, meeting free days, generous time off policy and wellness programs to name a few
  • We have teams all over the world. We may be headquartered in New York City, but we have office hubs in Washington D.C., Vancouver, London, Galway, Budapest, Munich, Bengaluru, Singapore, and Sydney.
  • Diversity is important to us. Growing, maintaining and promoting a diverse team is a top priority for us. We foster and encourage diversity through our Employee Resource Groups and provide access to resources and education to support the education of our team, facilitate dialogue, and foster understanding.

Diligent created the modern governance movement. Our world-changing idea is to empower leaders with the technology, insights and connections they need to drive greater impact and accountability – to lead with purpose. Our employees are passionate, smart, and creative people who not only want to help build the software company of the future, but who want to make the world a more sustainable, equitable and better place. 

Headquartered in New York, Diligent has offices in Washington D.C.,  London, Galway, Budapest, Vancouver, Bengaluru, Munich, Singapore and Sydney.   To foster strong collaboration and connection, this role will follow a hybrid work model. If you are within a commuting distance to one of our Diligent office locations, you will be expected to work onsite at least 50% of the time. We believe that in-person engagement helps drive innovation, teamwork, and a strong sense of community.


We are a drug free workplace. Diligent is proud to be an equal opportunity employer. We do not discriminate based on race, color, religious creed, sex, national origin, ancestry, citizenship status, pregnancy, childbirth, physical disability, mental disability, age, military status, protected veteran status, marital status, registered domestic partner or civil union status, gender (including sex stereotyping and gender identity or expression), medical condition (including, but not limited to, cancer related or HIV/AIDS related), genetic information, or sexual orientation in accordance with applicable federal, state and local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Diligent's EEO Policy and Know Your Rights. We are committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at [email protected].

To all recruitment agencies: Diligent does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, Diligent employees or any other organization location. Diligent is not responsible for any fees related to unsolicited resumes.

Top Skills

Ai/Ml Ecosystems
Analytics
Data Architecture
Data Mesh
Data Pipelines
Databricks
Redshift
Semantic Layers
Snowflake
HQ

Diligent New York, New York, USA Office

111 W 33rd St, 16th, New York, NY, United States, 10001

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