Director of Product – Enterprise Data & Analytics
Listed on 2026-07-18
-
IT/Tech
Business Systems & Technology Analysis, Business Intelligence, Data Analyst, Data Science Manager
Director of Product
- Enterprise Data Analytics
The next part of your journey is right around the corner — with The Standard.
A genuine desire to make a difference in the lives of others is the foundation for everything we do. With a customer-first mindset and an intentional focus on building strong teams, we've been able to uphold our legacy of financial stability while investing in new, innovative technologies that support the needs of our customers. Our high-performance culture focused on operational excellence thrives thanks to remarkable people united by compassion and a customer-first commitment.
Are you ready to make a difference?
Job Summary
The Director of Product
- Enterprise Data Analytics leads the strategy, development, and ongoing success of enterprise data and analytics products. This role combines strategic product leadership with the development of high-performing global teams, including Product Managers, Product Owners, Product Analysts, and Scrum Masters.
Working closely with business, technology, and data leaders, the Director defines product vision, establishes priorities, and delivers trusted, scalable data and analytics capabilities that improve decision-making and business outcomes. This leader is responsible for ensuring product roadmaps are aligned with business objectives, informed by customer needs, and grounded in technical feasibility.
This leader will have experience in building and managing enterprise data product organizations that focus on:
Product Leadership, Strategy, and Delivery — Lead, coach, and develop global product teams while fostering a culture of collaboration, accountability, customer focus, and continuous improvement. Own the vision, strategy, roadmap, and delivery of enterprise data and analytics products, including the adoption and maturation of data-as-a-product practices. Drive product discovery, prioritization, and execution to ensure products are scalable, secure, governed, and deliver measurable business outcomes aligned to enterprise objectives.
Key Responsibilities:
Enterprise Data Product Portfolio Management — Serve as the steward of a portfolio of enterprise data products spanning analytical, and transactional products, Lead investment prioritization, and product lifecycle management. Establish product performance measures and continuously evaluate adoption, quality, business impact, and customer outcomes.
Stakeholder Engagement and Cross-Functional Collaboration — Build strong partnerships across business, data, and technology organizations to align product strategy with enterprise priorities. Communicate product vision, roadmap, priorities, and results to stakeholders and executive leadership. Partner closely with governance, architecture, engineering, security, and data management leaders to ensure data products are trusted, discoverable, secure, compliant, and well governed, while driving adoption and incorporating stakeholder feedback into future data product decisions.
Technical and Data Platform Leadership — Bring sufficient depth in modern data and analytics platforms, data engineering, APIs, event-driven architectures, and AI-enabled data capabilities to effectively partner with engineering and architecture leaders. Guide strategic decisions related to enterprise data platforms and data product design ensuring solutions are technically sound, scalable, and aligned with long-term enterprise architecture and business strategy.
Skills and Background You'll Need
Education:
A High School Diploma or GED is required. A Bachelor's or Master's degree in Computer Science, Product Management, Data Science, Analytics, Engineering, Business Administration, or relevant field is preferred.
Experience:
12+ years of progressive technology leadership experience, including 7+ years in senior management roles leading product portfolios and teams.
- Proven success in designing and building advanced analytics products ership of enterprise data products and data as a product practice.
- Ability to communicate clearly and concisely on complex technical topics, verbally and visually, across all levels of the organization.
- Experience with scaled Agile delivery, Scrum,…
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).