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Director of Product Management, Analytics

Job in Denver, Denver County, Colorado, 80208, USA
Listing for: ZE
Full Time position
Listed on 2026-06-11
Job specializations:
  • IT/Tech
    Data Science Manager, Data Analyst, AI Engineer (Applied/Software), Business Systems/ Tech Analyst
Job Description & How to Apply Below
Location:

Vancouver, CAN or Denver, US (Please note that we are only considering candidates currently based in Vancouver or Denver. Applications from other locations will not be reviewed)

Location:

Director of Product Management, Analytics Position Type:
Full-time, Permanent Work model:
Hybrid (8 days in office per month) Industry: Commodities u0026 Energy

About us:

Founded in 1995, Zema Global Data Corporation empowers organizations to simplify complexity, reduce risk, and make faster, more confident decisions that drive measurable results. Over the past two years, Zema Global has accelerated its growth through strategic investment and acquisition to strengthen our global leadership. Together we're helping our customers gain a Decisioning Advantage - one bold idea at a time.

With a presence across global energy, commodity, and financial markets, Zema Global empowers customers to simplify complexity, reduce risk, and make faster, more confident decisions that drive measurable results. At Zema Global, we Think Big, Make It Happen, and Win as One. We thrive on collaboration, creativity, and respect, united by a shared drive to innovate and deliver meaningful impact for our customers and communities.

If you're inspired by solving complex challenges and contributing to a culture that values purpose and performance, we invite you to join us.

Position overview:

The Director of Product Management, Analytics is a senior leadership role responsible for defining and executing the product vision and roadmap across Zema Global's analytics capabilities. This spans the full analytics product surface - including cQuant.io 's quantitative modeling and risk tools, AI-driven analytical features, data visualization and reporting, and emerging analytics capabilities being developed across the broader Zema Global product portfolio.

This is a high-impact, cross-product role that requires a rare combination of domain expertise in energy and commodities markets, deep comfort with quantitative and AI-based analytics, and the leadership skills to align engineering, data science, and commercial teams around a coherent analytics strategy. The Director will serve as Zema Global's internal and external authority on analytics product direction - championing innovation while staying grounded in what clients need today.

Key responsibilities:

Product Strategy u0026 Roadmap
• Own the analytics product roadmap across Zema Global's portfolio, ensuring coherence and strategic alignment across cQuant.io and other products.
• Define a differentiated analytics vision that integrates traditional quantitative modeling with AI/ML-enhanced capabilities.
• Make disciplined prioritization decisions that balance near-term client needs, platform scalability, and longer-term innovation bets.
• Communicate roadmap direction clearly to executive leadership, engineering teams, and client-facing stakeholders. Customer u0026 Market Engagement
• Build deep relationships with key clients to understand evolving analytical workflows, decision-making processes, and unmet needs.
• Lead discovery interviews, design reviews, and beta programs to validate hypotheses before committing to build.
• Partner with Sales and Customer Success to support deal cycles and retention - acting as a product authority in strategic client conversations.
• Track the competitive landscape across energy analytics, commodities risk platforms, and adjacent AI-powered data tools. AI-Based Analytics
• Identify and prioritize high-value opportunities to apply machine learning, forecasting, natural language interfaces, and generative AI across Zema Global's analytics products.
• Shape how AI-driven insights are surfaced to users - ensuring outputs are explainable, trustworthy, and commercially compelling.
• Define product requirements for AI/ML features in collaboration with Data Science, including interpretability, confidence communication, and user controls.
• Stay current on applied AI developments in energy markets, quantitative finance, and enterprise analytics. Cross-Functional Leadership
• Collaborate with Engineering and Architecture to drive delivery of the analytics roadmap…
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