Product Director – Modelling Portfolio

Wood Mackenzie

. Set the strategy for what to model and why .

Posted 10/23/2026full-timeUnited StatesLead💰 $160,000 - $190,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading product strategy and investment decisions across commodities, with a strong focus on modeling methodologies, governance standards, and commercial viability of analytical assets. Proven ability to manage and develop product leads while ensuring quality and integration with engineering and market teams.

Highest-signal resume keywords

Linear ProgrammingEconometric ModellingMachine Learning ModellingProduct ManagementAPIs and Data Platforms

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Modeling StrategyInvestment Case DevelopmentAnalytical Asset ProductizationGovernance Standards EstablishmentQuality Standards Maintenance

Soft Skills

LeadershipObjective SettingCollaboration

Tools & Technologies

APIsData PlatformsWorkflow Integration

Industry Keywords

Commodity MarketsEnergy Market ContextChange ControlBacktestingCommercial Packaging

About the role

Key responsibilities & impact

Set the strategy for what to model and why
Own the commercial case for investment across commodities
Lead product leads responsible for each market
Decide which models to build, rebuild, retire or acquire across power, gas and oil
Own investment case sequencing and defend portfolio decisions
Productize analytical assets with versioning, documented methodology, reproducible outputs and defined release cycles
Hire, develop and set objectives for modelling product leads
Establish governance standards for validation, change control, backtesting and documentation
Determine commercial packaging and distribution through applications, APIs and data platforms
Work with commercial teams on pricing and packaging
Set requirements for central engineering and modelling functions, review implementations and maintain quality standards

Requirements

What you’ll need

A degree in a mathematical, engineering or scientific discipline
Real experience with linear programming, econometric or machine learning modelling
Ten years or more in product, including ownership of a multi-product portfolio and investment tradeoffs across it
Experience leading product managers, including senior ones
Track record of productizing analytical or research assets into something repeatable, documented and commercially viable
Experience with APIs, streaming, data platforms and workflow integration
Commodity or energy market context preferred
Ability to operate without direct control over development, data engineering and market expertise teams