Marketing Data Steward Lead

📌 Core Information

🔹 Job Title: Marketing Data Steward Lead

🔹 Company: Mars

🔹 Location: São Paulo, São Paulo, Brazil

🔹 Job Type: Full-Time, Hybrid

🔹 Category: Marketing

🔹 Date Posted: 2025-07-29

🔹 Experience Level: 7+ years

🔹 Remote Status: On-site (Hybrid)

🚀 Job Overview

Key aspects of this role include:

• Driving data stewardship strategy for marketing and consumer engagement
• Ensuring data quality and governance while fostering data literacy
• Collaborating with cross-functional teams to address data challenges
• Staying ahead of industry trends and adapting data stewardship processes

ASSUMPTION: This role requires a high level of expertise in data analytics, insights, or AI, with a strong focus on marketing and consumer data. It also demands excellent communication skills to engage effectively with both technical and non-technical audiences.

📋 Key Responsibilities

✅ Lead the execution of a data and AI stewardship strategy for marketing and consumer engagement

✅ Ensure data quality and governance while collaborating with cross-functional teams

✅ Map complex data flows and develop conceptual data models to inform technical model development

✅ Analyze and optimize data plans for AI/Analytics to drive consumer engagement and innovation

✅ Engage with global and regional data stewards to address data issues and communicate progress

✅ Stay ahead of industry trends and adapt data stewardship processes to meet evolving needs

✅ Guide Regional Data Stewards in managing data assets across regional and market entities

ASSUMPTION: This role involves a significant amount of stakeholder engagement, requiring strong communication skills and the ability to influence others.

🎯 Required Qualifications

Education: Bachelor's degree in a relevant field (e.g., Statistics, Mathematics, Computer Science, or a related discipline). Advanced degrees are a plus.

Experience: 7+ years of experience in data analytics, insights, or AI within large organizations, with a focus on marketing and consumer data.

Required Skills:

• Proven experience with marketing and/or consumer data in a large enterprise setting
• Recent roles in data stewardship, with a strong understanding of business data challenges
• Solid grasp of data models, flows, and structures, ideally from hands-on experience
• Ability to develop and enforce data governance policies; familiarity with cataloging tools like Collibra is a plus
• Strong communication skills to engage effectively with both technical and non-technical audiences

Preferred Skills:

• Familiarity with AI/ML tools and techniques
• Experience working in a global, matrixed organization

ASSUMPTION: Candidates should have a proven track record in data analytics or AI, with a strong background in marketing data. Excellent communication skills are essential for success in this role.

💰 Compensation & Benefits

Salary Range: Based on industry standards for a senior data role in Brazil, the estimated salary range for this position is R$ 25,000 - R$ 40,000 per month. This estimate takes into account the candidate's experience level, the company's size, and the location.

Benefits:

• Company Bonus
• Learning and Development Support

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 may vary depending on the candidate's experience and qualifications.

📌 Applicant Insights

🔍 Company Context

Industry: Mars operates in the Food and Beverage Manufacturing industry, with a strong focus on confectionery, pet care, and food products.

Company Size: Mars is a large, privately-held company with over 10,000 employees globally. This size offers opportunities for growth and diverse experiences.

Founded: Mars was founded in 1911 by Frank C. Mars and is now led by the fourth generation of the Mars family.

Company Description:

• Mars is a global business with a diverse range of products and brands, including M&M's, Snickers, Wrigley's, and Pedigree
• The company is guided by its Five Principles: Quality, Responsibility, Mutuality, Efficiency, and Freedom
• Mars is committed to sustainability and has set ambitious goals to reduce its environmental impact and improve its social performance

Company Specialties:

• Mars Petcare
• Mars Food
• Mars Edge
• and Mars Wrigley

Company Website: www.mars.com

ASSUMPTION: Mars is a well-established company with a strong commitment to its values and sustainability goals. This provides a stable and supportive work environment for employees.

📊 Role Analysis

Career Level: This role is at the senior management level, reporting directly to the Global Director of Data and AI.

Reporting Structure: The Marketing Data Steward Lead will have global and regional data stewards reporting to them, with a matrixed reporting structure across various business units.

Work Arrangement: This role has a hybrid work arrangement, with 2-3 days on-site per week.

Growth Opportunities:

• Potential to expand the role's scope and impact as the data and AI function grows within Mars
• Opportunities to work on cross-functional projects and gain exposure to different aspects of the business
• Access to learning and development resources through Mars University

ASSUMPTION: This role offers significant growth potential, both in terms of career progression and the impact the role can have on the organization.

🌍 Location & Work Environment

Office Type: Mars' São Paulo office is a modern, collaborative workspace with a mix of open-plan and private spaces.

Office Location(s): The role is based in São Paulo, Brazil, with the possibility of occasional travel to other Mars locations.

Geographic Context:

• São Paulo is the largest city in Brazil and the Americas, with a vibrant cultural scene and diverse food offerings
• The city is known for its bustling nightlife, numerous museums, and historical sites
• São Paulo has a tropical savanna climate, with mild winters and warm summers

Work Schedule: The role follows a standard full-time work schedule, with a hybrid work arrangement (2-3 days on-site per week).

ASSUMPTION: São Paulo offers a dynamic and multicultural work environment, with numerous opportunities for personal and professional growth.

💼 Interview & Application Insights

Typical Process:

• Phone or video screen with the hiring manager
• Technical assessment or case study
• Final interview with the global director and/or other stakeholders

Key Assessment Areas:

• Data analytics and AI skills
• Communication and stakeholder engagement skills
• Problem-solving and strategic thinking

Application Tips:

• Highlight relevant data analytics, AI, and marketing experience in your resume
• Tailor your cover letter to demonstrate your understanding of the role and how your skills and experience make you a strong fit
• Prepare for behavioral and situational interview questions that focus on your problem-solving, communication, and leadership skills

ATS Keywords: Data stewardship, data governance, data literacy, marketing data, consumer engagement, AI/Analytics, cross-functional collaboration, industry trends, data quality

ASSUMPTION: Mars' application process is designed to assess candidates' technical skills and cultural fit, with a focus on problem-solving, communication, and leadership abilities.

🛠️ Tools & Technologies

• Collibra (data cataloging tool)
• AI/ML tools (e.g., Python, R, TensorFlow, PyTorch)
• Data visualization tools (e.g., Tableau, Power BI)

ASSUMPTION: The specific tools and technologies used in this role may vary depending on the candidate's background and the team's needs.

👔 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, with a focus on stakeholder engagement
• Data-driven and analytical, with a strong emphasis on continuous improvement
• Fast-paced and dynamic, with a focus on delivering results and driving business impact

Self-Assessment Questions:

• Do you thrive in a collaborative, cross-functional environment, and enjoy working with diverse stakeholders?
• Are you comfortable analyzing complex data flows and developing conceptual data models?
• Do you have a proven track record of driving data-driven transformation and improving data quality?

ASSUMPTION: Mars' company culture is centered around its Five Principles, which guide decision-making and behavior at all levels of the organization.

⚠️ Potential Challenges

• Managing data quality and governance across a large, global organization
• Balancing the need for data-driven decision-making with the need for agility and speed
• Navigating a matrixed reporting structure and engaging with diverse stakeholders
• Keeping up with rapidly evolving data and AI technologies

ASSUMPTION: This role presents significant challenges, but also offers substantial opportunities for growth and impact.

📈 Similar Roles Comparison

• This role is unique in its focus on marketing and consumer data, as well as its global scope and matrixed reporting structure
• Compared to other data stewardship roles, this position offers a broader range of responsibilities and a greater level of strategic influence
• Career progression in this role could lead to senior leadership positions within Mars' data and AI function or other business units

ASSUMPTION: While this role shares similarities with other data stewardship positions, its unique focus and global scope set it apart from other opportunities in the market.

📝 Sample Projects

• Developing a comprehensive data governance framework for marketing and consumer engagement data
• Optimizing data plans for AI/Analytics to drive consumer engagement and innovation in a specific market or product category
• Leading a cross-functional team to address a critical data quality issue and implement a sustainable solution

ASSUMPTION: These sample projects illustrate the strategic and impactful nature of the work required in this role.

❓ Key Questions to Ask During Interview

• How does this role fit into Mars' overall data and AI strategy, and how will my work contribute to its success?
• What are the key priorities for this role in the first 30, 60, and 90 days?
• How does Mars support the professional development and growth of its data and AI talent?
• What are the key challenges facing the data and AI function at Mars, and how can this role help address them?
• How does Mars' matrixed reporting structure work in practice, and what support will I receive to navigate it effectively?

ASSUMPTION: Asking these questions will help you better understand the role's context, priorities, and opportunities for growth and impact.

📌 Next Steps for Applicants

To apply for this position:

• Submit your application through this link
• Tailor your resume to highlight your relevant data analytics, AI, and marketing experience
• Write a cover letter that demonstrates your understanding of the role and how your skills and experience make you a strong fit
• Prepare for the phone or video screen, technical assessment or case study, and final interview with the global director and/or other stakeholders
• Follow up with the hiring manager one week after your final interview to express your continued interest in the role

⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.