📌 Core Information
🔹 Job Title: Marketing Data Steward Senior Lead
🔹 Company: Mars
🔹 Location: Brazil (Guararema, São Paulo)
🔹 Job Type: Full-Time, Hybrid
🔹 Category: Data & Analytics
🔹 Date Posted: April 22, 2025
🔹 Experience Level: 7+ years
🔹 Remote Status: On-site (Hybrid)
🚀 Job Overview
Key aspects of this role include:
- Driving a data and AI stewardship strategy for marketing and consumer engagement
- Collaborating with global and regional data stewards to address data issues
- Ensuring adherence to data governance policies and maintaining FAIR metadata
- Optimizing data plans for AI/Analytics to drive consumer engagement and innovation
- Guiding regional data stewards and supporting data literacy initiatives
ASSUMPTION: This role requires a strategic mindset, strong communication skills, and a deep understanding of marketing and consumer engagement data.
📋 Key Responsibilities
✅ Lead the execution of a data and AI stewardship strategy for marketing and consumer engagement, aligning efforts with business goals
✅ Governance and Quality Champion: Capture critical data mappings and collaborate on a logical data model, ensuring adherence to data governance policies and maintaining FAIR metadata
✅ AI/Analytics Innovator: Analyze and optimize data plans for AI/Analytics, focusing on marketing data to drive consumer engagement and innovation, while working closely with architects and scientists to ensure data readiness for groundbreaking analytics models
✅ Cross-functional Collaborator: Engage with global and regional data stewards to tackle data issues head-on and communicate progress to stakeholders
✅ Continuous Improvement Advocate: Stay ahead of industry trends and adapt data stewardship processes to meet evolving needs, while supporting data literacy initiatives
✅ People Leader: Guide Regional Data Stewards to ensure effective management of data assets across regional and market entities
ASSUMPTION: This role requires a balance of strategic thinking, technical expertise, and strong leadership skills to drive data-driven decision-making across the organization.
🎯 Required Qualifications
Education: Bachelor's Degree in a relevant field
Experience: 7+ years in data analysis, architecture, management, and quality, with a focus on AI and technical disciplines
Required Skills:
- Proven experience in marketing and consumer engagement data areas, including Customer, Digital Assets, and Digital Commerce
- Familiarity with tools like Collibra, Informatica, SAP, and Microsoft Purview
- Experience with core data objects such as Customer and Vendor data
- Ability to engage effectively with both technical and non-technical audiences at all levels
Preferred Skills:
- Recent roles in data stewardship
- Experience with data governance and master data management
ASSUMPTION: Candidates with a strong background in data analysis, architecture, and management, along with relevant marketing and consumer engagement experience, will be well-suited for this role.
💰 Compensation & Benefits
Salary Range: Based on experience and market conditions, the estimated salary range for this role is BRL 25,000 - 40,000 per month. This is an estimate and the actual salary may vary based on individual qualifications and company policy.
Benefits:
- Best-in-class learning and development support from day one, including access to Mars University
- Industry competitive salary and benefits package, including company bonus
Working Hours: Full-time, with a hybrid work arrangement (2-3 days on-site per week)
ASSUMPTION: The salary range provided is an estimate based on market research and comparable roles in the region. The actual salary may vary based on individual qualifications and company policy.
📌 Applicant Insights
🔍 Company Context
Industry: Mars is a global manufacturer of confectionery, pet food, and other food products, with a strong focus on data-driven innovation and sustainability.
Company Size: Mars is a large, family-owned company with over 10,000 employees worldwide. This size offers opportunities for growth and collaboration across various business units.
Founded: Mars was founded in 1911 by Frank C. Mars and is headquartered in McLean, Virginia, USA.
Company Description:
- Mars is committed to creating a positive impact on the world through its Five Principles: Quality, Responsibility, Mutuality, Efficiency, and Freedom.
- The company is known for its iconic brands, including M&M's, Snickers, Wrigley, and Pedigree, among others.
- Mars is focused on leveraging data and technology to drive innovation and sustainability across its global business units.
Company Specialties:
- Confectionery and snacks
- Pet care
- Food and health and wellness
Company Website: Mars.com
ASSUMPTION: Mars' large size and global presence offer candidates the opportunity to work on diverse projects and collaborate with teams across various business units and regions.
📊 Role Analysis
Career Level: This role is a senior leadership position, reporting directly to the Global Director of Data and AI Stewardship.
Reporting Structure: The Marketing Data Steward Senior Lead will guide regional data stewards and collaborate with global data stewards, architects, and scientists.
Work Arrangement: This role has a hybrid work arrangement, with 2-3 days on-site per week at the Guararema, São Paulo office.
Growth Opportunities:
- Potential to expand the role's scope and impact as the data and AI stewardship strategy evolves
- Opportunities to work on cross-functional projects and collaborate with teams across different business units
- Access to learning and development resources through Mars University
ASSUMPTION: This role offers a unique opportunity to drive data-driven decision-making and innovation within a large, global organization, with potential for growth and development.
🌍 Location & Work Environment
Office Type: Mars' Guararema, São Paulo office is a modern, collaborative workspace designed to foster innovation and creativity.
Office Location(s): Guararema, São Paulo, Brazil
Geographic Context:
- The office is located in the Greater São Paulo metropolitan area, offering easy access to urban amenities and cultural attractions
- Guararema is a suburban city with a population of approximately 100,000 people, providing a mix of urban and suburban living
- The region has a tropical savanna climate, with warm and humid weather throughout the year
Work Schedule: Full-time, with a hybrid work arrangement (2-3 days on-site per week) and flexible hours to accommodate individual needs
ASSUMPTION: The hybrid work arrangement offers a balance between on-site collaboration and remote work, allowing for flexibility and a better work-life balance.
💼 Interview & Application Insights
Typical Process:
- Online application submission
- Phone or video screen with the hiring manager
- Technical assessment or case study presentation
- Final interview with the Global Director of Data and AI Stewardship
Key Assessment Areas:
- Data analysis and architecture skills
- Strategic thinking and problem-solving abilities
- Communication and leadership skills
- Cultural fit and alignment with Mars' Five Principles
Application Tips:
- Highlight relevant marketing and consumer engagement data experience in your resume
- Tailor your cover letter to demonstrate your understanding of the role and your alignment with Mars' values
- Prepare for the technical assessment or case study presentation by reviewing relevant data analysis and architecture concepts
- Research Mars' Five Principles and be prepared to discuss how you embody them in your work
ATS Keywords: Marketing data, consumer engagement, data stewardship, data governance, AI, analytics, data strategy, data quality, data mapping, logical data model, FAIR metadata, cross-functional collaboration, continuous improvement, data literacy, regional data stewards, global data stewards, data architects, data scientists
ASSUMPTION: The interview process will focus on assessing the candidate's technical skills, strategic thinking, and cultural fit, with a strong emphasis on data-driven decision-making and innovation.
🛠️ Tools & Technologies
- Collibra
- Informatica
- SAP
- Microsoft Purview
- AI and machine learning tools (specific tools not mentioned in the job description)
ASSUMPTION: The specific tools and technologies required for this role may evolve as the data and AI stewardship strategy develops and expands.
👔 Cultural Fit Considerations
Company Values:
- Quality: The consumer is our boss, quality is our work, and value for money is our goal
- Responsibility: As individuals, we demand total responsibility from ourselves; as Associates, we support the responsibilities of others
- Mutuality: A mutual benefit is a shared benefit; a shared benefit will endure
- Efficiency: We use resources to the full, waste nothing, and do only what we can do best
- Freedom: We need freedom to shape our future; we need profit to remain free
Work Style:
- Collaborative and cross-functional
- Data-driven and innovative
- Adaptable and responsive to change
Self-Assessment Questions:
- How do you embody Mars' Five Principles in your work?
- Can you provide an example of a time when you drove data-driven decision-making to achieve a business goal?
- How do you approach continuous learning and improvement in your role?
ASSUMPTION: Candidates who demonstrate a strong alignment with Mars' Five Principles and a commitment to data-driven decision-making and continuous improvement will be well-suited for this role.
⚠️ Potential Challenges
- Managing competing priorities and stakeholders across multiple business units and regions
- Keeping up with the latest trends and developments in data and AI technologies
- Balancing the need for strategic thinking with the day-to-day management of data assets
- Navigating a large, global organization with a complex reporting structure
ASSUMPTION: These challenges can be overcome through strong communication, collaboration, and adaptability, as well as a deep understanding of the data and AI landscape.
📈 Similar Roles Comparison
- Unlike traditional data steward roles, this position requires a strong strategic focus and the ability to drive data-driven decision-making at a senior leadership level
- Mars' global presence and focus on data-driven innovation set this role apart from similar positions in other organizations
- This role offers the opportunity to work on high-impact projects with a significant impact on the company's bottom line
ASSUMPTION: Candidates with experience in senior data leadership roles within large, global organizations will be well-suited for this position.
📝 Sample Projects
- Developing a comprehensive data strategy for marketing and consumer engagement, aligned with business goals and stakeholder needs
- Optimizing data plans for AI/Analytics to drive consumer engagement and innovation, while ensuring data readiness for groundbreaking analytics models
- Collaborating with global and regional data stewards to address data issues and ensure adherence to data governance policies
ASSUMPTION: These sample projects illustrate the strategic and collaborative nature of the Marketing Data Steward Senior Lead role, as well as the opportunity to drive data-driven decision-making and innovation within a large, global organization.
❓ Key Questions to Ask During Interview
- Can you describe the current state of the data and AI stewardship strategy, and how this role will contribute to its evolution?
- How does this role collaborate with other senior leadership positions within the organization?
- What opportunities exist for growth and development within this role and the broader data and AI organization?
- How does Mars support the professional development of its Associates, particularly in the areas of data and AI?
- What is the expected timeline for the completion of the data and AI stewardship strategy, and how will the role's responsibilities evolve over time?
ASSUMPTION: These questions demonstrate a strong interest in the role's strategic focus, collaborative nature, and potential for growth and development.
📌 Next Steps for Applicants
To apply for this position:
- Submit your application through this link
- Tailor your resume to highlight relevant marketing and consumer engagement data experience, as well as your skills in data analysis, architecture, and management
- Write a cover letter that demonstrates your understanding of the role and your alignment with Mars' Five Principles
- Prepare for the technical assessment or case study presentation by reviewing relevant data analysis and architecture concepts
- Follow up with the hiring manager one week after submitting your application to confirm receipt and inquire about the next steps in the interview process
⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.
