Marketing Data Steward Senior Lead

📌 Core Information

🔹 Job Title: Marketing Data Steward Senior Lead

🔹 Company: Mars

🔹 Location: Chicago, Illinois, United States & Newark, New Jersey, United States

🔹 Job Type: Full-Time, Hybrid

🔹 Category: Marketing

🔹 Date Posted: April 22, 2025

🔹 Experience Level: 7+ years

🔹 Remote Status: On-site/Hybrid

🚀 Job Overview

Key aspects of this role include:

• Transformative project-based role with an expected end date of December 31, 2026
• Leading the execution of a data and AI stewardship strategy for Marketing and Consumer Engagement
• Collaborating on data governance policies and ensuring data readiness for analytics models
• Cross-functional collaboration with global and regional data stewards
• Guiding regional data stewards to ensure effective management of data assets

ASSUMPTION: This role is part of Mars' transformation journey to nearly double the size of their snacking business by 2030, focusing on leveraging marketing data and AI to drive growth.

📋 Key Responsibilities

✅ Lead the charge in executing a bold data and AI stewardship strategy for Marketing and Consumer Engagement, aligning efforts with business goals

✅ Governance and quality champion: capture critical data mappings, collaborate on a logical data model, and ensure adherence to data governance policies while 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 technical expertise, strategic thinking, and strong communication skills to collaborate effectively with both technical and non-technical stakeholders.

🎯 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 at all levels

Preferred Skills:

• Experience in a similar role within a large organization
• Fluency in multiple languages

ASSUMPTION: Candidates with a strong background in data analysis, data management, and data governance, along with experience in marketing and consumer engagement data areas, will be well-suited for this role.

💰 Compensation & Benefits

Salary Range: USD 133,067.00 - USD 182,958.00 per year

Benefits:

• Medical, Dental, Vision, and Life Insurance
• Paid Parental Leave
• Vacation, Sick Time, and Paid Holidays

Working Hours: 40 hours per week, with flexibility for a hybrid work arrangement

ASSUMPTION: The salary range provided is an estimate based on industry standards for similar roles and experience levels. The total compensation package may also include other elements, such as variable pay and general allowances, depending on the position and employee's work schedule.

📌 Applicant Insights

🔍 Company Context

Industry: Mars is a global manufacturer of confectionery, pet care, and other food products, operating in more than 80 countries worldwide.

Company Size: Mars is a large, family-owned company with over 100,000 employees globally. This size offers opportunities for growth and diverse career paths.

Founded: Mars was founded in 1911 by Franklin C. Mars and is headquartered in McLean, Virginia, USA.

Company Description:

• Mars is guided by its Five Principles: Quality, Responsibility, Mutuality, Efficiency, and Freedom
• The company is committed to sustainability and has set ambitious goals to reduce its environmental impact
• Mars offers a range of products under various brands, including M&M's, Snickers, Twix, and Mars Petcare

Company Specialties:

• Confectionery
• Pet care
• Food

Company Website: Mars.com

ASSUMPTION: Mars' large size and global presence offer opportunities for career growth and international exposure.

📊 Role Analysis

Career Level: This role is at the senior leadership level, requiring strategic thinking and decision-making skills.

Reporting Structure: The Marketing Data Steward Senior Lead will report directly to the Global Director of Data and AI Stewardship.

Work Arrangement: This role follows a hybrid work arrangement, with a mix of on-site and remote work.

Growth Opportunities:

• Potential to take on additional responsibilities as the role evolves and the team grows
• Opportunities to work on high-impact projects and drive change within the organization
• Access to learning and development resources through Mars University

ASSUMPTION: This role offers opportunities for professional growth and development within Mars' data and AI organization.

🌍 Location & Work Environment

Office Type: Mars' offices are modern and collaborative workspaces, designed to foster innovation and teamwork.

Office Location(s): Chicago, Illinois, and Newark, New Jersey

Geographic Context:

• Chicago, Illinois: A major city with a diverse economy, offering numerous cultural and recreational opportunities
• Newark, New Jersey: A city with a rich history and a strategic location near New York City, offering easy access to urban amenities

Work Schedule: The hybrid work arrangement allows for flexibility in scheduling, with a mix of on-site and remote work.

ASSUMPTION: The hybrid work arrangement offers a balance between on-site collaboration and remote flexibility, allowing employees to optimize their work environment.

💼 Interview & Application Insights

Typical Process:

• Phone or video screening
• Behavioral and technical interviews with relevant stakeholders
• Final interview with the hiring manager

Key Assessment Areas:

• Technical expertise in data analysis, data management, and data governance
• Strategic thinking and problem-solving skills
• Communication and collaboration skills
• Cultural fit and alignment with Mars' Five Principles

Application Tips:

• Highlight relevant experience and achievements in data analysis, data management, and data governance
• Tailor your resume and cover letter to emphasize your fit for this role and Mars' company culture
• Prepare for behavioral and technical interview questions by reflecting on your past experiences and researching Mars' business and industry trends

ATS Keywords: Data Stewardship, Marketing Data, AI/Analytics, Data Governance, Data Quality, Cross-functional Collaboration, Strategic Thinking, Leadership, Hybrid Work

ASSUMPTION: Mars' interview process focuses on assessing candidates' technical skills, strategic thinking, and cultural fit with the organization.

🛠️ Tools & Technologies

• Collibra
• Informatica
• SAP
• Microsoft Purview
• AI/Analytics tools and platforms

ASSUMPTION: Familiarity with these tools and technologies is essential for success in this role.

👔 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 team-oriented
• Adaptable and responsive to change
• Data-driven and analytical

Self-Assessment Questions:

• Do you align with Mars' Five Principles, and how have you demonstrated these values in your past experiences?
• How do you approach working in a hybrid environment, and what strategies do you use to maintain productivity and collaboration?
• Can you provide an example of a time when you drove change or innovation through data analysis and strategic thinking?

ASSUMPTION: Candidates who demonstrate a strong fit with Mars' company culture and values will be more likely to succeed in this role.

⚠️ Potential Challenges

• The project-based nature of the role may require adaptability and flexibility in priorities and responsibilities
• Working with global and regional data stewards may present communication and cultural challenges
• The hybrid work arrangement may require additional effort to maintain productivity and collaboration
• Navigating a large, global organization may present challenges in building relationships and influencing change

ASSUMPTION: These challenges can be mitigated through strong communication, adaptability, and a focus on building relationships within the organization.

📈 Similar Roles Comparison

• Compared to other data stewardship roles, this position offers a unique opportunity to drive strategic change within a large, global organization
• Mars' focus on data and AI as a driver of growth sets this role apart from similar positions in other industries
• Career paths in data and AI stewardship may vary depending on the organization's size, industry, and data maturity

ASSUMPTION: This role offers a unique opportunity to work at the intersection of data, AI, and marketing within a large, global organization.

📝 Sample Projects

• Developing and implementing a data governance framework for marketing data across multiple regions
• Collaborating with data architects and scientists to ensure data readiness for AI/Analytics models
• Conducting a comprehensive data quality assessment and developing a roadmap for improvement

ASSUMPTION: These sample projects illustrate the strategic and technical aspects of the role and the impact it can have on the organization.

❓ Key Questions to Ask During Interview

• Can you describe the current state of data governance within the marketing and consumer engagement domains, and what are the key priorities for this role?
• How does this role collaborate with other data and technology teams within Mars, and what are the key dependencies for success?
• What are the key performance indicators (KPIs) for this role, and how will my progress be measured?
• How does Mars support the professional development and growth of its Associates, particularly in data and AI roles?
• What are the key challenges facing the data and AI organization at Mars, and how can this role contribute to addressing them?

ASSUMPTION: Asking these questions demonstrates a proactive approach to understanding the role, the organization, and the opportunities for growth and impact.

📌 Next Steps for Applicants

To apply for this position:

• Submit your application through this link
• Tailor your resume and cover letter to highlight your relevant experience and skills for this role
• Prepare for behavioral and technical interview questions by reflecting on your past experiences and researching Mars' business and industry trends
• Follow up with the hiring manager after your interview to express your interest in the role and reiterate your qualifications

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