Director of Product Management, Analytics

Director of Product Management, Analytics @ Zema Global

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Director of Product Management, Analytics

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Job details

Department

Denver, Vancouver

Full-time

$130,000 USD - $150,000 USD

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 & 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 & 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 & 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 with quality, velocity, and technical sustainability.
• Work with Design to make complex analytics intuitive and accessible across user personas - from quantitative analysts to executives.
• Partner with Marketing on go-to-market strategy, product launch plans, and thought leadership positioning for analytics capabilities.
• Coordinate across product lines within Zema Global to ensure analytical coherence and avoid duplication of effort.

Team Leadership

• Mentor and develop product managers within the analytics domain, building a culture of rigor, curiosity, and customer focus.
• Establish and refine product management practices: discovery frameworks, PRDs, success metrics, and roadmap communication cadences.
• Represent analytics product strategy in executive and, where appropriate, board-level conversations.

Qualifications:

Required

• 10+ years of product management experience, with at least 5 years focused on analytics, data, or quantitative platforms.
• Demonstrated successful monetization of New Product Introductions spanning through Product Go-To-Market and sales enablement.
• Demonstrated success owning complex B2B SaaS product roadmaps from concept through delivery and adoption.
• Strong understanding of energy markets, commodities trading, risk management, or related quantitative finance domains.
• Experience leading cross-functional teams in fast-paced, high-growth environments.
• Ability to communicate fluently across technical, commercial, and executive audiences.
• Working familiarity with AI/ML concepts and their application in data-intensive products.

Preferred

• Direct experience with energy market fundamentals: power, natural gas, renewables, or commodities trading and risk.
• Hands-on background in quantitative finance, data science, or computational modeling.
• Prior experience at an energy software, commodity trading, or financial technology company.
• Experience building or managing AI-enhanced product features, including generative AI or NLP applications.
• Familiarity with cloud-native analytics infrastructure, APIs, and enterprise data platforms.

How success is measured:

• Client Impact - Analytics capabilities that drive measurable improvements in client workflows, satisfaction, and retention.
• Platform Differentiation - Roadmap progress on capabilities that strengthen Zema Global's competitive position in analytics.
• AI Integration - Successful delivery of AI-powered features that clients adopt and trust.
• Revenue Contribution - Product-led growth through new logo acquisition and account expansion.
• Team Excellence - A high-performing, well-aligned analytics product team operating with clarity and speed.

Why Join us?

• Be part of a rapidly growing company revolutionizing energy analytics, shaping how data drives decision-making across the energy and commodities markets.

• Work with cutting-edge technology alongside a team of industry experts who are redefining market intelligence.

• Significant opportunity to make a measurable impact on product strategy, revenue growth and customer success, with clear paths for career advancement.

• Join a company culture that values innovation, collaboration and customer-centric thinking, giving you the autonomy to drive meaningful change.

How to Apply

Please submit your PDF CV highlighting your relevant experience (English CVs only). Only shortlisted candidates will be contacted. No agency submissions, please.

• No visa sponsorship is available for this position *

Equality and Diversity: We're all about creating equal opportunities for everyone - no matter your background, abilities, or experiences. If you need any adjustments during the recruitment process to help you shine, just let us know! Our Talent Team is here to support you and ensure everything goes smoothly.

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AI disclaimer

This application process may use AI-enabled systems to support candidate evaluation based on factors such as experience, technical skills, and qualifications. All processing is carried out in accordance with applicable data protection, AI governance, and labour laws. Human oversight is maintained at all stages, and final hiring decisions are made by people. Personal data submitted as part of this application is not used to train AI models.

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