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Marketing Data Steward Senior Lead

Mars
Full-time
On-site
Guararema, SΓ£o Paulo, Brazil
πŸ“ˆ Marketing Analytics

πŸ“Œ Core Information

πŸ”Ή Job Title: Marketing Data Steward Senior Lead

πŸ”Ή Company: Mars

πŸ”Ή Location: Guararema, SΓ£o Paulo, Brazil

πŸ”Ή Job Type: Full time, Hybrid

πŸ”Ή Category: Data & Analytics

πŸ”Ή Date Posted: April 22, 2025

πŸ”Ή Experience Level: 7+ years

πŸ”Ή Remote Status: On-site with hybrid flexibility

πŸš€ Job Overview

Key aspects of this role include:

  • Transforming marketing data governance and quality
  • Driving AI and analytics innovation through data readiness
  • Collaborating cross-functionally to tackle data challenges
  • Guiding regional data stewards and supporting data literacy

ASSUMPTION: This role is part of Mars' Chief Data Office (CDO) Organization, focusing on marketing and consumer engagement data. It requires a blend of data expertise and leadership skills to drive strategic decisions and fuel business growth.

πŸ“‹ Key Responsibilities

βœ… Lead the execution of a data and AI stewardship strategy for marketing and consumer engagement, aligning efforts with business goals

βœ… Ensure adherence to data governance policies and maintain FAIR metadata

βœ… Analyze and optimize data plans for AI/Analytics, focusing on marketing data to drive consumer engagement and innovation

βœ… Engage with global and regional data stewards to tackle data issues and communicate progress to stakeholders

βœ… Stay ahead of industry trends and adapt data stewardship processes to meet evolving needs, while supporting data literacy initiatives

βœ… 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 proficiency, and strong communication skills to succeed in a dynamic, global environment.

🎯 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
  • Data stewardship experience, with a knack for capturing business data requirements
  • Familiarity with tools like Collibra, Informatica, SAP, and Microsoft Purview
  • Experience with core data objects such as Customer and Vendor data
  • Strong communication skills to engage effectively with both technical and non-technical audiences

Preferred Skills:

  • Experience in a similar role within a global organization
  • Fluency in English and Portuguese

ASSUMPTION: Given the global nature of this role, proficiency in English is essential. Familiarity with Portuguese is beneficial for working effectively in Brazil.

πŸ’° Compensation & Benefits

Salary Range: Based on industry standards for a senior data role in Brazil, the estimated salary range is R$ 25,000 - R$ 40,000 per month. This range is inclusive of base salary and variable compensation.

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, typically 40 hours per week, with flexible hybrid work arrangement

ASSUMPTION: The salary range provided is an estimate based on market research and may vary depending on the candidate's experience and qualifications.

πŸ“Œ Applicant Insights

πŸ” Company Context

Industry: Mars operates in the Food and Beverage Manufacturing industry, with a focus on confectionery, pet care, food, and drinks. The company generates over $40 billion in annual sales and employs over 150,000 associates worldwide.

Company Size: Mars is a large, family-owned company with over 10,000 employees in Brazil alone. This size offers opportunities for growth and exposure to diverse teams and projects.

Founded: Mars was founded in 1911 by Frank C. Mars and is headquartered in McLean, Virginia, USA. The company has a long history of innovation and commitment to its Five Principles.

Company Description:

  • Mars is a global leader in confectionery, pet care, food, and drinks, with iconic brands like M&M's, Snickers, Wrigley, and Pedigree
  • The company is committed to sustainability and has set ambitious goals to reduce its environmental impact and create a positive influence on the world
  • Mars fosters a culture of responsibility, mutuality, efficiency, freedom, and quality, as reflected in its Five Principles

Company Specialties:

  • Confectionery (Mars Wrigley)
  • Pet care (Mars Petcare)
  • Food (Mars Food)
  • Health and wellness (Mars Edge)

Company Website: Mars.com

ASSUMPTION: Mars' large size and global presence provide ample opportunities for career growth and development. The company's commitment to its Five Principles ensures a consistent and values-driven work environment.

πŸ“Š Role Analysis

Career Level: This role is a senior leadership position, reporting directly to the Global Director of Data and AI Stewardship within the Chief Data Office (CDO) Organization.

Reporting Structure: The role will oversee regional data stewards and collaborate with global data stewards, architects, and scientists to ensure data readiness for AI and analytics models.

Work Arrangement: This is a hybrid role, with a mix of on-site and remote work. Associates can expect to work on-site for a portion of the week, with the remainder of the time being flexible.

Growth Opportunities:

  • Potential to advance to a global leadership role within the CDO Organization
  • Chance to work on high-impact projects that drive business growth and innovation
  • Opportunity to develop leadership skills and mentor regional data stewards

ASSUMPTION: Given the project-based nature of this role, with an expected end date of December 31, 2026, candidates should be prepared to explore other opportunities for employment within the Mars family of companies as the end date approaches.

🌍 Location & Work Environment

Office Type: The primary office for this role is located in Guararema, SΓ£o Paulo, Brazil. The office is designed to foster collaboration and innovation, with state-of-the-art facilities and amenities.

Office Location(s): Guararema, SΓ£o Paulo, Brazil

Geographic Context:

  • Guararema is a city in the Greater SΓ£o Paulo metropolitan area, offering a mix of urban and suburban living
  • The region is known for its vibrant culture, diverse food scene, and rich history
  • SΓ£o Paulo is the largest city in Brazil and the Americas, with a population of over 22 million people

Work Schedule: The work schedule for this role is typically Monday to Friday, with flexible hours to accommodate the hybrid work arrangement.

ASSUMPTION: While the primary office is located in Guararema, the hybrid work arrangement allows for some flexibility in work location, depending on the needs of the role and the associate.

πŸ’Ό Interview & Application Insights

Typical Process:

  • Online application submission
  • Phone or video screen with the hiring manager
  • In-depth behavioral and technical interviews with cross-functional stakeholders
  • Final interview with the Global Director of Data and AI Stewardship

Key Assessment Areas:

  • Data analysis and management skills
  • Strategic thinking and problem-solving abilities
  • Leadership and communication skills
  • Cultural fit and alignment with Mars' Five Principles

Application Tips:

  • Highlight relevant data experience and achievements in your resume, focusing on marketing and consumer engagement data areas
  • Tailor your cover letter to demonstrate your understanding of the role and your fit with Mars' culture and values
  • Prepare examples of your data analysis and management work, as well as any leadership or mentoring experiences
  • Research Mars' Five Principles and be prepared to discuss how you embody them in your work

ATS Keywords: Marketing data, data stewardship, AI, analytics, consumer engagement, data governance, data quality, data management, leadership, collaboration, hybrid work, Brazil, SΓ£o Paulo, Guararema

ASSUMPTION: Given the global nature of Mars' operations, candidates can expect a thorough and comprehensive interview process that assesses both technical skills and cultural fit.

πŸ› οΈ Tools & Technologies

  • Collibra
  • Informatica
  • SAP
  • Microsoft Purview
  • AI and machine learning tools (e.g., Python, R, TensorFlow)
  • Data visualization tools (e.g., Tableau, Power BI)

ASSUMPTION: The specific tools and technologies required for this role may evolve as Mars' data and AI capabilities grow and change.

πŸ‘” 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 driving results through teamwork
  • Agile and adaptable, with a willingness to embrace change and learn from failures
  • Data-driven and analytical, with a strong focus on using data to inform decision-making

Self-Assessment Questions:

  • How do you embody Mars' Five Principles in your work, and can you provide specific examples?
  • How do you approach collaborating with diverse teams and stakeholders to drive data-driven decisions?
  • How do you stay up-to-date with industry trends and adapt your data stewardship processes to meet evolving needs?

ASSUMPTION: Mars' Five Principles serve as the foundation for the company's culture and values. Candidates should be prepared to demonstrate their alignment with these principles and provide specific examples of how they embody them in their work.

⚠️ Potential Challenges

  • Navigating a large, global organization with complex data landscapes and stakeholders
  • Balancing strategic thinking with hands-on data management and analysis
  • Managing remote and hybrid teams across different time zones and cultures
  • Adapting to a project-based role with a defined end date, requiring proactive career management

ASSUMPTION: Given the dynamic and global nature of this role, candidates should be prepared to face and overcome challenges that require strong problem-solving skills and adaptability.

πŸ“ˆ Similar Roles Comparison

  • Unlike traditional data steward roles, this position focuses on driving strategic data and AI initiatives within a specific business unit (marketing and consumer engagement)
  • Mars' global presence and commitment to data-driven decision-making provide unique opportunities for growth and impact
  • This role offers a blend of leadership, technical, and strategic responsibilities, making it an attractive fit for candidates with diverse skill sets

ASSUMPTION: While this role shares similarities with other data steward positions, its focus on marketing and consumer engagement data and its placement within Mars' Chief Data Office Organization make it a unique and exciting opportunity.

πŸ“ Sample Projects

  • Developing and implementing a data governance framework for marketing and consumer engagement data, ensuring compliance with relevant regulations and best practices
  • Collaborating with data architects and scientists to optimize data plans for AI and analytics, driving consumer engagement and innovation
  • Conducting a comprehensive data quality assessment and developing a roadmap for improvement, focusing on critical marketing and consumer engagement data objects

ASSUMPTION: These sample projects are intended to illustrate the types of initiatives the Marketing Data Steward Senior Lead might undertake, rather than representing a comprehensive list of potential responsibilities.

❓ Key Questions to Ask During Interview

  • How does this role fit into the broader data and AI strategy for Mars' marketing and consumer engagement business units?
  • What are the key priorities for the first 90 days in this role, and how can I contribute to driving early wins?
  • How does Mars support the professional development and growth of its data and AI talent, and what opportunities exist for growth within the CDO Organization?
  • What are the most pressing data challenges facing Mars' marketing and consumer engagement teams, and how can this role help address them?
  • How does Mars foster a culture of data-driven decision-making, and what resources are available to support data literacy and upskilling?

ASSUMPTION: These key questions are designed to help candidates better understand the role, the organization, and the opportunities for growth and impact. Candidates should feel free to tailor these questions to their specific interests and concerns.

πŸ“Œ Next Steps for Applicants

To apply for this position:

  • Submit your application through this link
  • Tailor your resume to highlight relevant data experience and achievements, focusing on marketing and consumer engagement data areas
  • Write a cover letter that demonstrates your understanding of the role and your fit with Mars' culture and values
  • Prepare examples of your data analysis and management work, as well as any leadership or mentoring experiences
  • Follow up with the hiring manager one week after submitting your application to express your interest and reiterate your qualifications

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