Product Owner II

Wood Mackenzie Limited; City of Edinburgh; Hybrid; GBP 70,000 - 100,000; Full time

Job summary

Wood Mackenzie Limited is seeking a delivery-focused Product Manager in Edinburgh to own the migration and onboarding of audited technology datasets into Snowflake, ensuring they are AI-ready and governed. The role sits at the intersection of product, data engineering and analytics, delivering data capabilities for AI-enabled experiences and DaaS offerings.

You will liaise with engineering, research and senior leadership, translating customer voice into prioritized requirements and maintaining a

Qualifications

• Proven experience as a Product Manager, ideally in a complex data/platform environment.
• Strong ability to translate data needs into actionable requirements and roadmaps.
• Experience with data pipelines and customer-facing data applications.

Responsibilities

• Own and prioritise the backlog for data tooling and onboarding into Snowflake.
• Collaborate with engineering and data teams to improve data capabilities and metadata.
• Drive pipeline improvements for performance, reliability and cost-efficiency.
• Translate strategic direction into sequenced, deliverable execution plans.

Skills

Excellent communication

Stakeholder management

Prioritisation & backlog

Cross-functional collaboration

Product management experience

Data pipelines familiarity

Tools

Jira

Amplitude

APIs / SQL

Snowflake

TypeScript / ReactJS

Job description

Job Description

Wood Mackenzie is the global leader in analytics, insights and proprietary data across the entire energy and natural resources landscape. For over 50 years our work has guided the decisions of the world’s most influential energy producers, utilities companies, financial institutions and governments. Now, with the world’s energy system more complex and interconnected than ever before, sector-specific views are no longer enough. That’s why we’ve redefined what’s possible with Intelligence Connected. By fusing our unparalleled proprietary data with the sharpest analytical minds, all supercharged by Synoptic AI, we deliver a clear, interconnected view of the entire value chain.

Our trusted team of 2,700 experts across 30 countries breaks siloes and connects industries, markets and regions across the globe. This empowers our customers to identify risk sooner, spot opportunities faster and recalibrate strategy with confidence – whether planning days, weeks, months or decades ahead.

Wood Mackenzie Intelligence Connected WoodMac.com Wood Mackenzie Brand Video Wood Mackenzie Values Inclusive - we succeed together Trusting - we choose to trust each other Customer committed - we put customers at the heart of our decisions Future Focused - we accelerate change Curious - we turn knowledge into action.

Wood Mackenzie’s Long Term Power product team is responsible for a suite of products that enables our customers to make decisions that matter across the energy value chain, delivered through Lens, our one-stop research and data analytics platform. Lens delivers insights at key decision points across end-to-end workflows, with the experience increasingly enhanced by AI and made accessible through agentic delivery mechanisms such as MCP (Model Context Protocol). Establishing a resilient, sustainable portfolio is critical for energy companies as they develop agile business models to meet net zero goals. We strive to be their partner of choice, offering a range of technical solutions - increasingly delivered through AI-enabled and agentic channels - to support the business needs of these companies. Our team delivers integrated analysis across the power sector, enabling customers to navigate energy industry dynamics, and make quicker, more effective decisions. We are seeking a delivery-focused Product Manager to help execute the next phase of our AI-ready data transformation journey. Working from an audited inventory of technology datasets, you will prioritise and drive their migration into Snowflake, ensuring they are structured, governed and ready to power new agentic AI experiences and Data-as-a-Service (DaaS) offerings. You will liaise closely with our engineering team, translating the voice of the customer into clear, prioritised requirements, and keeping delivery on track against an established roadmap. A key part of the role is understanding how our data connects - from the technologies that generate renewable power through to their impact on the wider energy mix - and turning that understanding into practical, sequenced execution plans. This role sits at the intersection of product, data engineering and analytics. It is a hands-on, execution-led role, critical to ensuring our data capabilities scale with the needs of the business while enabling high-quality, reliable and actionable data for our clients and internal research teams.

Main responsibilities

• Data Tooling & Infrastructure Own and prioritise the backlog for onboarding audited technology datasets into Snowflake, sequencing the work required to make them AI-ready.
• Collaborate with engineering and data teams to enhance our data capabilities - ensuring we have proper meta data.
• Work with engineering to prioritise and execute pipeline improvements for performance, reliability and cost-efficiency.
• Drive initiatives to improve data consistency, interoperability and quality across systems, tracking progress against plan.
• AI-Ready Data & Agentic Enablement Support the packaging of audited, AI-ready datasets into agentic AI experiences and Data-as-a-Service (DaaS) offerings, working closely with engineering to execute against the roadmap.
• Prioritise the backlog of dataset readiness work (schema, metadata, lineage) needed to unlock new agentic workflows.
• Coordinate with the Senior Product Manager to translate strategic direction into sequenced, deliverable execution plans.
• Data Discovery Support evaluation of new data sources identified by the portfolio product lead, and manage their onboarding into the delivery roadmap.
• Collaborate with research and modelling teams to sequence delivery work that balances their needs with those of external clients.
• Track delivery of new and enhanced data sources against the agreed roadmap, flagging risks and re-prioritising as needed.
• Cross-functional Collaboration Act as the day-to-day bridge between technical teams and business stakeholders, turning data needs into clear, prioritised product requirements.
• Advocate for data best practices and drive adoption of data products across the organization.
• Partner with stakeholders across departments to keep schema changes aligned with business needs and technical constraints, managing trade-offs as they arise.
• Measurement & Impact Track success metrics for data products and tooling against agreed targets.
• Monitor usage, performance and impact, and adjust delivery plans based on feedback and insights.

We are a hybrid working company and the successful applicant will be expected to be present in the office at least three days per week to foster and contribute to a collaborative environment, but this may be subject to change in the future. Due to the global nature of the team, a degree of flexible working will be required to accommodate different time zones.

Key Skills & Experience

• Excellent communication and stakeholder management skills
• Strong prioritisation skills, with a proven ability to sequence and manage a complex backlog to deliver against a roadmap
• Ability to collaborate with and align a wide range of stakeholders around a shared vision: product, research, data, engineering and senior leadership
• Proven experience as a Product Manager, ideally in a complex data or platform-focused role, with a track record of hands-on delivery
• Familiarity with data pipelines and customer-facing data applications
• Analytical mindset with a passion for solving complex data problems and turning them into clear, actionable execution plans

Preferred Skills

• Exposure to agile delivery practices and backlog management tools such as Jira, Producboard, Amplitude, etc.
• familiarity with APIs, SQL or notebook-based tools (e.g. Jupyter) is helpful, but not essential
• A background in software or data engineering is a plus - familiarity with technologies such as GraphQL, Snowflake, TypeScript or ReactJS is useful, but not required
• Background in the power, renewables or energy industry is a plus #LI-DB1

Equal Opportunities

We are an equal opportunities employer. This means we are committed to recruiting the best people regardless of their race, colour, religion, age, sex (including pregnancy, sexual orientation, and gender identity), national origin, disability or protected veteran status. You can find out more about your rights under the law at www.eeoc.gov.

If you like wild growth and working with happy, enthusiastic over-achievers, you’ll enjoy your career with us! Our Work Experience is the combination of everything that’s unique about us: our culture, our core values, our company meetings, our commitment to sustainability, our recognition programs, but most importantly, it’s our people. Our employees are self-disciplined, hard working, curious, trustworthy, humble, and truthful. They make choices according to what is best for the team, they live for opportunities to collaborate and make a difference, and they make us the #1 Top Workplace in the area.