Senior Manager Data Management and Analytics

Nestlé Professional is committed to providing the finest ingredients, operational knowledge, and uncompromised support to foodservice operations across the US. Our team of culinary experts and skilled product developers partner closely with foodservice professionals to generate creative, branded food and beverage solutions that address a wide variety of needs. As a business serving other businesses, we’re focused on performing with speed, service, and precision to cook up delicious ideas for our clients both small and large. Satisfy your appetite for an exciting career at Nestlé Professional.

This position is not eligible for Visa Sponsorship.

Position Overview
We are seeking a highly skilled and experienced Senior Manager to lead our newly formed data and analytics team ensuring the unlock of critical intelligence and consumption capabilities for the Nestle Out of Home business. 

The successful candidate will be responsible for overseeing the development, implementation, and maintenance of our data management systems and processes.  They will drive robust data-driven insights and analytics to support strategic business decision-making and also play an integral role in building long-term data driven analytic competencies and capabilities for the entire organization. This role requires a strong background in data management principles and processes and proven team leadership and development success.

Responsibilities Include
Data Management & Compliance

• Develop and implement data management strategies, policies, and procedures to ensure data quality, integrity, and security.  Ensure business architecture and plans align with organizational strategies adjusting and navigating change and evolution effectively.
• Oversee the design, implementation, and maintenance of data governance frameworks, including data standards, data dictionaries, and data classification and effectively ensure organization consumption and fluency.
• Collaborate with cross-functional teams to identify data requirements, define data models, and ensure data integration across systems and/or drive new innovation or tools to deliver services or support that accelerate business growth/efficiency.
• Monitor and optimize data governance principals (storage, retrieval, protection, privacy, etc.) are in place to ensure NUSA and legal compliance.
• Stay up-to-date with industry trends and best practices in data management, analytics, and data privacy, and drive continuous improvement initiatives.

Analytics & Insights

• Lead the development of deep analysis of multiple data sources to extract meaningful and applicable insights.
• Leverage meaningful techniques and predictive modeling to identify trends, patterns, and opportunities for business growth and optimization.
• Provide guidance and support to business units in leveraging data analytics to drive decision-making and improve operational efficiency.

Team Leadership

• Manage and mentor a team of data management and analytics professionals, providing guidance, training, and performance feedback.
• Foster a collaborative team culture, encouraging knowledge sharing and continuous learning.
• Set clear goals and objectives, ensuring alignment with organizational objectives and priorities.
• Collaborate with other departments and stakeholders to understand their data needs and build roadmap of growth opportunities in alignment with overall digital/ecommerce team priorities.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.
• Proven experience (5-8 years) in data management, analytics, or a similar role, preferably in a leadership capacity.
• Strong knowledge and experience of data management principles, data governance frameworks, and data quality management.
• Proficiency in data analytics tools and programming languages (e.g., SQL, Python, R) for data manipulation, analysis, and visualization.
• Experience with data visualization tools (e.g., Tableau, Power BI) to create interactive dashboards and reports.
• Familiarity with statistical techniques, predictive modeling, and machine learning algorithms.
• Excellent leadership and team management skills, with the ability to motivate and inspire a team.
• Strong problem-solving and critical-thinking abilities, with a keen eye for detail.
• Excellent communication and presentation skills, with the ability to convey complex data insights to non-technical stakeholders.

It is our business imperative to remain a very inclusive workplace.

To our veterans and separated service members, you're at the forefront of our minds as we recruit top talent to join Nestlé. The skills you've gained while serving our country, such as flexibility, agility, and leadership, are much like the skills that will make you successful in this role. In addition, with our commitment to an inclusive work environment, we recognize the exceptional engagement and innovation displayed by individuals with disabilities. Nestlé seeks such skilled and qualified individuals to share our mission where you’ll join a cohort of others who have chosen to call Nestlé home.

The Nestlé Companies are an equal employment opportunity and affirmative action employer seeking diversity in qualified applicants for employment. All applicants will receive consideration for employment without regard to race, ethnicity, color, gender, gender identity, age, religion, national origin, ancestry, disability, perceived disability, medical condition, genetic information, veteran status, sexual orientation, or any other protected status, as defined by applicable law. Prior to the next step in the recruiting process, we welcome you to inform us confidentially if you may require any special accommodations in order to participate fully in our recruitment experience. Contact us at accommodations@nestle.com or please dial 711 and provide this number to the operator: 1-800-321-6467.

This position is not eligible for Visa Sponsorship. 
 

Review our applicant privacy notice before applying at https://www.nestlejobs.com/privacy