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- Tasks: Lead data engineering teams to build scalable data platforms and drive data-driven solutions.
- Company: Join Mars Pet Nutrition, a leader in the vibrant FMCG sector.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Why this job: Make a real impact in transforming pet nutrition through innovative data solutions.
- Qualifications: Proven leadership in data engineering and expertise in DataOps principles.
- Other info: Collaborative culture with a focus on digital transformation and career advancement.
The predicted salary is between 48000 - 72000 ÂŁ per year.
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 engineering teams across growth products.
Technical LeadershipProvide 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.
Engineering Standards and FrameworksDefine, 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.
DataOps Enablement and OptimizationDrive 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.
Data Governance and Quality AssuranceEmbed 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.
Stakeholder EngagementCollaborate 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.
Knowledge / Experience- 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.
Product Engineer Lead (Demand) employer: Wm. Wrigley Jr.
Contact Detail:
Wm. Wrigley Jr. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Engineer Lead (Demand)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal project that highlights your data engineering expertise. This is a great way to demonstrate your capabilities beyond just a CV.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to data engineering and leadership. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Product Engineer Lead (Demand)
Some tips for your application 🫡
Show Your Passion for Data: Make sure to highlight your enthusiasm for Data and Analytics in your application. We want to see how excited you are about transforming businesses with data-driven solutions!
Tailor Your Experience: When writing your application, align your experience with the job description. Focus on your technical leadership skills and any relevant projects that showcase your ability to build scalable data platforms.
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language to describe your achievements and how they relate to the role. We appreciate clarity as much as we value creativity!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensure you’re considered for this exciting opportunity.
How to prepare for a job interview at Wm. Wrigley Jr.
✨Know Your Data Inside Out
Make sure you have a solid understanding of data engineering principles and practices. Brush up on your knowledge of data pipelines, storage solutions, and analytics tools relevant to the role. Being able to discuss specific examples of how you've implemented these in past projects will show your technical expertise.
✨Showcase Your Leadership Skills
As a Product Engineer Lead, you'll need to demonstrate strong leadership capabilities. Prepare to share experiences where you've led teams or projects, focusing on how you fostered collaboration and innovation. Highlight any instances where you’ve championed best practices in data engineering.
✨Understand the Business Context
Familiarise yourself with Mars Pet Nutrition's Digital First agenda and how it aims to transform the pet nutrition category. Be ready to discuss how your technical skills can align with their business goals, particularly in enhancing customer engagement and driving revenue through data-driven solutions.
✨Prepare for Stakeholder Engagement Scenarios
Expect questions about how you would engage with various stakeholders, from D&A leadership to product owners. Think of examples where you've successfully aligned technical priorities with business needs, and be prepared to discuss how you would approach stakeholder collaboration in this role.
