Mars Inc

Master Data Quality Lead

Mars Inc$134K — $184K *
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Business, Information Technology, or related field.
  • 10-12 years leading Master Data Management (MDM) and Data Quality initiatives in global environments.
  • Strong comprehension of data quality dimensions and technical lineage concepts.
  • Proven experience designing user-facing data monitoring and cleansing solutions.
  • Hands-on SAP Data Model expertise, particularly in Product, Customer, Vendor, and Finance areas.
  • Exceptional communication skills for translating complex data into business language.
  • Experience managing external integrators and large-scale projects.

Responsibilities

  • Partner with key leads to govern Critical Data Elements (CDEs) and quality rules.
  • Design and coordinate data profiling and cleansing initiatives for integration readiness.
  • Define and implement data quality KPIs and dashboards for stakeholder visibility.
  • Architect scalable monitoring solutions and draft business justifications for funding.
  • Manage technical development delivered by external partners through project execution.
  • Facilitate mapping of data lineages and documenting models in data catalog.
  • Maintain auditable documentation of governance and technical solutions across operations.
  • Monitor ERP shifts and adopt emerging ML/AI for data profiling automation.

Benefits

  • Work with a diverse and talented team.
  • Join a purpose-driven company focused on building a better future.
  • Access to best-in-class learning and development from day one.
  • Competitive salary and benefits package, including bonuses.
Full Job Description
Job Description:

This role is a project-based transformation role and has a current expected end date of '31st December 2028'. As we move closer to '31st December 2028' we will work with you to explore other opportunities for employment within the Mars family of companies. If a suitable alternative role is not available at that time, your employment will end

Master Data Quality Lead

Following our landmark acquisition of Kellanova, Mars Global Services (MGS) is establishing key capabilities in service of Mars Snacking to drive unified business processes and reporting across our global operations. We are seeking a Master Data Quality Lead for a high-impact, project-based role with an expected duration through December 31, 2028. Step into a collaborative, cross-functional environment at the intersection of business strategy, technology execution, and change management. In this role, you will proactively represent the Master Data team, championing data excellence across complex legacy ERP landscapes and establishing a resilient data governance foundation that directly enables our integration milestones.

This is a premier, time-bound opportunity to showcase your leadership, storytelling, and technical expertise by translating complex data challenges into tangible business value. Dotted-line to the Data Quality and Governance Officer, you will lead high-profile data quality assessments, design strategic cleansing initiatives, and partner with key stakeholders-including Integration Management Office (IMO) leads, global technology architects, and Master Data councils. If you are passionate about driving enterprise-level transformation, leveraging next-generation data tools, and delivering visible business impact within a defined, strategic roadmap, this role offers a career-defining platform to shape the future of Mars Snacking.

What are we looking for?
  • Educational Foundation: A Bachelor's degree in Business, Information Technology, or a closely related field.
  • Deep Domain Expertise: 10-12 years of experience leading Master Data Management (MDM) and/or Data Quality initiatives across multiple data domains in a complex, multi-national corporate environment.
  • Data Principles: A strong, comprehensive understanding of data quality dimensions, as well as data and technical lineage concepts.
  • Technical Track Record: Proven success in designing and delivering user-facing data monitoring, profiling, and cleansing applications or solutions.
  • ERP Experience: Considerable hands-on experience working with SAP Data Models, specifically in the areas of Product, Customer, Vendor, and Finance.
  • Influencing & Storytelling: Exceptional communication skills with the ability to translate highly complex data and technical concepts into clear, impactful business language.
  • Project & Partner Management: Demonstrated experience successfully managing external system integrators, third-party technical partners, and large-scale project execution.
  • Language Skills (Nice-to-Have): Fluency in written and spoken English is essential; proficiency in any additional language is considered a distinct advantage.


What will be your key responsibilities?
  • Define & Govern Rules: Partner with IMO leads, business process owners, and master data councils to identify, prioritize, and govern Critical Data Elements (CDEs) and data quality rules.
  • Lead Cleansing Initiatives: Design and coordinate targeted data profiling, cleansing, and ongoing monitoring initiatives to ensure data is "fit for purpose" ahead of major system integrations.
  • Establish KPIs & Reporting: Define and implement robust data quality KPIs and executive dashboards, providing stakeholders with real-time visibility into data health and integration progress.
  • Architect Scalable Solutions: Design comprehensive data quality and monitoring solutions, including drafting business cases and ROI justifications to secure leadership alignment and project funding.
  • Manage Strategic Partners: Oversee and manage the end-to-end technical development and project execution delivered by external system integrators and third-party development partners.
  • Enable Data Stewardship: Guide and facilitate business process owners to map end-to-end data lineages and document business glossaries and data models within the Collibra data catalog.
  • Standardize Documentation: Maintain and govern comprehensive, auditable documentation of all data quality rules, governance policies, and technical solutions deployed across Mars Snacking.
  • Anticipate & Innovate: Proactively monitor upcoming ERP and integration shifts to mitigate data model risks, while identifying and adopting emerging ML/AI capabilities to automate anomaly detection and predictive profiling.


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.


#TBdigital

The base pay range for this position at commencement of employment is between the range listed below, however, base pay offered may vary depending on multiple individualized factors, including but not limited to job-related knowledge, skills, and experience. The total compensation package for this position will include variable pay, medical and dental benefits, participation in 401k plan, and paid time off benefits. Details of participation in these benefit plans will be provided if an applicant receives an offer of employment.

The pay range shown is applicable to all US locations listed within the job posting:USD 134,400.00 - USD 184,800.00

About Mars Inc

Mars, Incorporated is an American multinational manufacturer of confectionery, pet food, and other food products. It was founded in 1911 and is headquartered in McLean, Virginia. Mars operates in six business segments: Petcare, Chocolate, Wrigley, Food, Drinks, and Symbioscience. Some of its most popular brands include M&M's, Snickers, Twix, Milky Way, Skittles, and Pedigree. The company is known for its commitment to sustainability and has set a goal to reduce its greenhouse gas emissions by 67% by 2050.
Learn more about Mars Inc
Size
125,000 employees
Industry
Founded
1911

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