Director of Product Management, Analytics

About the role

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.

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.
• 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.
• Cross-Coordinate across product lines within Zema Global to ensure analytical coherence and avoid duplication of effort.
• 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

• 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.