Product Engineer Lead (Demand)

ENGINEERINGUK; City Of London; On-site; GBP 80,000 - 100,000; Full time

Job summary

A global pet nutrition leader is seeking a Data and Analytics leader to drive data-driven solutions and support digital transformation. The role requires strong technical leadership in data engineering and collaboration across global teams to enhance analytical capabilities. The ideal candidate will have expertise in DataOps and a deep understanding of digital analytics tools. This position is vital for ensuring integrity and maximizing value through data utilization.

Qualifications

• Ability to lead global technical teams in building scalable data platforms.
• Skilled in implementing CI/CD pipelines and modern engineering workflows.
• Experience in defining and enforcing data engineering best practices.
• Capability in embedding governance and ensuring data integrity.
• Deep understanding of digital data sources and analytics tools.
• Familiarity with using data to support pricing and promotional strategies.
• Knowledge of analytical models evaluating marketing effectiveness.
• Experience supporting tools that enhance retail performance.
• Understanding of digital distribution strategies including D2C.
• Experience in supporting a product-based operating model.

Responsibilities

• Provide strong technical leadership to data engineers and DevOps engineers.
• Define, maintain, and evolve data engineering standards and frameworks.
• Drive the adoption of modern DataOps principles.
• Embed governance and data quality practices into engineering workflows.
• Collaborate with leadership to synchronize data priorities.

Skills

Data Engineering Leadership

DataOps & DevOps Enablement

Technical Standards & Frameworks

Data Governance & Quality

Digital Analytics Expertise

Strategic Revenue Management (SRM)

Marketing Mix Modelling (MMM)

Retail Business Solutions (RBS)

E-Route to Market (eRTM)

Stakeholder Engagement

Job description

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Employer Mars Location London, United Kingdom_crt:1762743546402 Salary Competitive Closing date 9 Dec 2025

Job Description

Are you passionate about Data and Analytics (D&A) and excited about how it can completely transform the way an enterprise works? Do you have the strategic vision, technical expertise, and leadership skills to drive data-driven solutions? Do you want to work in a dynamic, fast-growing category? If so, you might be the ideal candidate for the role in the Data and Analytics function for Global Pet Nutrition (PN) at Mars. Pet Nutrition (PN) is the most vibrant category in the FMCG sector. As we work to transform this exciting category, a new program, Digital First, has been mobilized by the Mars Pet Nutrition (PN) leadership team. Digital First places pet parents at the center of all we do in Mars PN, while digitalizing a wide range of business process areas, and creating future fit capabilities to achieve ambitious targets in top line growth, earnings, and pet parent centricity. The Digital First agenda requires Digitizing at scale and requires you to demonstrate significant thought leadership, quality decision making, deep technical know-how, and an ability to navigate complex business challenges while building and leading a team of world class data and analytics leaders. With Digital First, PN is moving to a Product based model to create business facing digital capabilities. Develop and maintain robust data pipelines and storage solutions to support data analytics and machine learning initiatives. Reporting to the Director-Data engineering solution, The role operates globally in collaboration with teams engineering teams across growth products.

Responsibilities

• Provide strong technical leadership to data engineers and DevOps engineers across growth product teams. Act as a thought partner in the design, implementation, and evolution of scalable data platforms and assets. Champion best practices in data engineering and foster a collaborative, innovative, and high-performance culture across teams.
• Define, maintain, and evolve data engineering standards, patterns, and frameworks that product teams can adopt. Ensure consistency, quality, and reusability across solutions. Serve as a point of accountability for technical decisions and architectural direction, while empowering product teams to execute effectively.
• Drive the adoption of modern DataOps principles to streamline engineering workflows. Partner with platform teams to establish CI/CD pipelines, observability standards that improve operational efficiency, reliability, and speed across data pipelines.
• Embed governance, security, and data quality practices into engineering workflows. Define guardrails and reference implementations for data access control, data lineage, and compliance. Promote consistent metadata management and enforce technical standards to ensure trust in data assets.
• Collaborate with PN D&A leadership, PN product owners, and segment D&A leadership to synchronize and formulate data priorities aimed at maximizing value through data utilization.

Qualifications

• Data Engineering Leadership Ability to lead global technical teams in building scalable data platforms, data pipelines, and infrastructure that supports advanced analytics and machine learning.
• DataOps & DevOps Enablement Skilled in implementing CI/CD pipelines, observability standards, and modern engineering workflows to enhance pipeline reliability, agility, and operational efficiency.
• Technical Standards & Frameworks Experience in defining and enforcing data engineering best practices, architectural patterns, and reusable frameworks across multiple product teams.
• Data Governance & Quality Strong capability in embedding governance, data lineage, access control, and compliance requirements into engineering processes to ensure data integrity and trust.
• Digital Analytics Expertise Deep understanding of digital data sources and analytics tools related to customer journeys, digital engagement, and business performance measurement.
• Strategic Revenue Management (SRM) Familiarity with using data to support pricing, promotions, and pack strategies that optimize revenue across multiple sales channels.
• Marketing Mix Modelling (MMM) Knowledge of analytical models that evaluate marketing effectiveness across digital, e-commerce, and traditional channels to guide investment decisions.
• Retail Business Solutions (RBS) Experience supporting or building tools that enhance retail execution, visibility, and performance tracking across both physical and online retail environments.
• E-Route to Market (eRTM) Understanding of digital distribution strategies including Direct-to-Consumer (D2C), marketplaces, and data-enabled logistics and supply chain solutions.
• Product-Based Model Implementation Experience in adopting or supporting a product-based operating model for digital and data capabilities that are directly aligned to business outcomes.
• Stakeholder Engagement Ability to collaborate effectively with business and technical stakeholders, aligning on priorities and translating data strategy into tangible business value.

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