Lead Data Architect

nd reducing evaluation time & cost by building confidence to drive superior propositions across the portfolio.

• From traditional Innovation and scale-up protocols to innovative digital modelling which enables rapid scenario evaluation, accelerated development and scale-up, with increased agility and reduced costs/resources.

• From dispersed physical quality records to digitalised quality standards, capturing of data and trend predictions, which can be leveraged in order to proactively mitigate emerging risks and avoid non-quality Impacts.

• From fragmented legacy IT systems holding unreliable data to an integrated R&D and SUPPLY digital & data ecosystem with respective sub-domains to enact step-change operational efficiency and maximize business value by confidently utilising trustworthy data.

What are we looking for?

• Previous experience as a Senior Data Architect essential

• Proven experience as a senior data architect, or similar leadership role in data strategy.

• Strong background in data modelling, architecture frameworks, and modern data integration methods.

• Deep understanding of cloud-based data platforms, analytics solutions, and enterprise data governance.

• Excellent stakeholder management and communication skills, with the ability to influence and align across business and technology functions.

• Experience building and evolving data architectures that scale and adapt to changing business needs.

• Passion for coaching and enabling others with a collaborative leadership approach.

• Knowledge of data security, regulatory compliance, and GDPR best practices

• Previous experience in CPG industry would be ideal

What will be your key responsibilities?

As a Data Architecture Lead in the DDF team, your key responsibilities are as follows:

1. Technical Proficiency:

• Act as a thought leader and trusted advisor, supporting teams in understanding business objectives, data requirements, processes, and enabling technologies.

• Lead the definition and execution of data architecture strategies across multiple business domains and data platforms.

• Drive the development of scalable, integrated data models and architectures across raw, trusted, and harmonized zones.

• Define and execute the data product strategy for assigned business areas in collaboration with analytics and business teams.

• Proactively identify opportunities where data can drive business change and communicate them persuasively to stakeholders.

• Ensure all data architecture efforts are aligned with the broader business vision and strategic priorities and provide architectural oversight across delivery initiatives.

• Collaborate with other data architects to ensure consistent and integrated use of data assets across the organization.

• Identify cross-portfolio data dependencies or issues and lead resolution efforts.

• Provide strategic guidance on data domains, process analysis, data analysis, and modeling techniques.

• Develop and maintain current and future state data architectures, models, and roadmaps.

• Continuously monitor data models to ensure they remain relevant and actionable, adapting as business needs evolve.

• Promote awareness and understanding of data architectures across the organization.

• Mentor and coach solution / data product architects and modelers to build internal data architecture capability.

• Advocate for best practices, tools, and methods related to data architecture.

• Ensure compliance with data protection, security policies, and GDPR.

Key Deliverables Involvement:

• Canonical Models: Define and validate domain-wide data structures and models

• Reference Architectures: Own and maintain reusable architectural patterns

• High-Level Designs (HLDs): Review and approve HLDs from Solution Architects

• Key Design Decisions (KDDs): Own and govern major architectural decisions for alignment and bring it up to the Architecture Review Board and beyond (which I would like to setup going forward)

• Architecture Option Assessments: Lead decisioning on tooling, modelling, and patterns

Tool Responsibilities:

• Define modelling standards and templates within Erwin

• Review and validate high-level models and reference architecture libraries

• Approve changes to shared or enterprise-wide canonical models

2. Learning and Growth; Contribution to Solutions:

• Collaborate with the team to learn and apply the best practices in data architecture.

• Actively participate in projects, gaining experience in developing high-quality, scalable, and sustainable data solutions.

• Stay updated with emerging technologies and trends in data architecture, contributing to the team's knowledge base by sharing insights and ideas.

• Assist in the development of data solutions within the Pet Nutrition data platform, working on challenging aspects under the guidance of senior team members.

• Contribute to the management of data from various divisions to generate valuable data assets related to pets and pet owners.

• Support the maintenance of a semantic and intelligent data layer to contribute to the comprehensive leadership of the data solution within the environment.

3. Collaboration and Communication:

• Collaborate closely with analysts, data scientists, and other team members to understand their requirements and assist in translating them into actionable data solutions.

• Maintain effective communication with the Director of Data Architecture, actively participating in team discussions and sharing ideas to improve platform excellence.

What can you expect from Mars?

• Work with diverse and talented Associates, all guided by the Five Principles.

• Join a purpose driven company, where we're striving to build the world we want tomorrow, today.

• Best-in-class learning and development support from day one, including access to our in-house Mars University.

• An industry competitive salary and benefits package, including company bonus.

#TBDDT