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Director of Product Management, Analytics
Zema Global Data Corporation
Denver, KSA
Full Time
Director
Hybrid
3 weeks ago
Product ManagementAnalyticsQuantitative ModelingAI/MLData VisualizationEnergy Markets
Free
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Product ManagementAnalyticsQuantitative Modeling
About the Role
Zema Global Data Corporation seeks a Director of Product Management, Analytics to define and execute the product vision and roadmap across analytics capabilities, including quantitative modeling, AI-driven features, and data visualization.
Key Skills for This Role
Product ManagementAnalyticsQuantitative ModelingAI/MLData VisualizationEnergy Markets
Responsibilities
- 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
- 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
- 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
Requirements
- 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
Full Job Posting
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 stra
Key Responsibilities
- 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.
- 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.
- 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.
Qualifications
- 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.
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.
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