ABOUT CUSTOMER OPERATIONS DATA & ANALYTICS
Customer Operations Data & Analytics partners with business functions and global teams to deliver scalable, automated analytics solutions aligned with enterprise data strategy and One Source of Truth principles.
JOB PURPOSE
This role is critical to advancing Customer Operations toward a tech-forward, AI-enabled operating model, enabling the design and deployment of scalable analytics products that connect business strategy with enterprise data and technology capabilities. It drives faster and more accurate insight-led decision-making, improved service levels, and end-to-end visibility, strengthening our ability to deliver customer-centric, data-driven outcomes and respond to evolving market needs. Additionally, it accelerates experimentation, innovation, and adoption of AI/ML solutions while building sustainable internal capability and scaling reusable and certified analytics products. Ultimately, this role creates tangible value for the organization by enabling better service on shelf, stronger customer and consumer experiences, and measurable business outcomes that fuel profitable growth.
Drive the design, development, and deployment of scalable data and analytics products that enable business transformation across Customer Operations. This role connects business strategy with data and technology, embedding new ways of working, accelerating adoption, and delivering measurable impact through innovative analytics solutions.
KEY RESPONSIBILITIES
1. Capability Strategy & Deployment
• Define and drive the Data & Analytics capability strategy aligned to Customer Operations priorities, digital transformation goals, and enterprise data strategy
• Design, develop, and scale reusable, certified analytics products that enable faster, more accurate, insight-led decision-making across Customer Operations.
• Leverage enterprise data platforms, AI/ML capabilities, and modern analytics technologies to create scalable solutions that connect business strategy with data and technology.
• Partner with business stakeholders, product teams, and engineering teams to translate business needs into deployable, high-value analytics products.
• Establish standards, governance, and best practices to ensure sustainable product development, quality, scalability, and adoption.
2. Transformation Leadership
• Lead data, analytics, and AI-enabled transformation initiatives that advance Customer Operations toward a tech-forward operating model.
• Drive experimentation, innovation, and adoption of AI/ML, automation, and advanced analytics solutions to solve business challenges and unlock new opportunities.
• Act as the bridge between business, product, and engineering teams, ensuring alignment of priorities, roadmaps, and execution.
• Strengthen end-to-end business visibility and customer-centric decision-making through scalable digital and analytics capabilities.
• Build internal capability and foster a data-driven culture by championing modern analytics practices, innovation, and continuous learning.
3. Performance & Change Management
• Drive measurable business outcomes through analytics solutions, including improved service levels, operational efficiency, decision quality, and customer outcomes.
• Lead change management efforts to accelerate adoption of new analytics products, AI-enabled tools, and data-driven ways of working.
• Develop training, enablement, and upskilling programs to build sustainable internal analytics capability across Customer Operations.
• Establish governance frameworks to prioritize investments, track value realization, and manage the analytics product lifecycle.
• Continuously optimize products and solutions based on business feedback, performance insights, changing market needs, and emerging technology opportunities.
WHAT YOU WILL NEED TO SUCCEED
Experience and Qualifications
• Bachelor’s degree in data engineering, Supply Chain, Analytics, or related field
• 3+ years of experience in supply chain with a clear competence in analytics, digital technology (e.g., advanced analytics, AI-enabled platforms), and technology.
• Proficiency with programming languages (e.g., SQL, Python, PySpark, Scala)
• Experience with visualization platforms (e.g., Power BI, Tableau) and enterprise data ecosystems (e.g., Azure, Google Cloud)
• Familiarity with enterprise systems (e.g., SAP) is preferred
Skills
Product & Delivery Mindset
• Strong product-oriented mindset with experience delivering end-to-end analytics solutions from concept to deployment
• Ability to translate business needs into scalable, high-impact technical solutions
• Strong project management skills with the ability to manage multiple priorities and drive outcomes
Leadership & Influence
• Excellent communication skills with the ability to influence and collaborate across cross-functional teams
• Ability to work seamlessly across business, product, and engineering teams to drive aligned outcomes
• Strong stakeholder management with the ability to navigate complex environments
Ways of Working
• Results-oriented with a strong ownership mindset and accountability for delivery
• Proactive problem solver with the ability to develop dynamic, innovative solutions
• Continuous improvement mindset with a focus on collaboration, agility, and learning
• Self-starter with curiosity and a strong drive to learn and grow
Pay: The pay range for this position is $88,600 to $133,000. Unilever takes into consideration a wide range of factors that are utilized in making compensation decisions including, but not limited to, skill sets, experience and training, licensure and certifications, qualifications and education, and other business and organizational needs.
Bonus: This position is bonus eligible.
Benefits: Unilever employees are eligible to participate in our benefits plan. Should the employee choose to participate, they can choose from a range of benefits to include, but is not limited to, health insurance (including prescription drug, dental, and vision coverage), retirement savings benefits, life insurance and disability benefits, parental leave, sick leave, paid vacation and holidays, as well as access to numerous voluntary benefits. Any coverages for health insurance and retirement benefits will be in accordance with the terms and conditions of the applicable plans and associated governing plan documents.
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At Unilever, inclusion is at the heart of everything we do. We welcome applicants from all walks of life and are committed to creating an environment where everyone can thrive/succeed. All applicants will receive fair and respectful consideration, and we actively support the growth and development of every employee.
Unilever is an Equal Opportunity Employer/Protected Veterans/Persons with Disabilities.
For more information on your federal rights, please see Know Your Rights: Workplace Discrimination is Illegal
Employment is subject to verification of pre-screening tests, which may include drug screening, background check, credit check and DMV check.
If you are an individual with a disability in need of assistance at any time during our recruitment process, please contact us at [email protected]. Please note: This email is reserved for individuals with disabilities in need of assistance and is not a means of inquiry about positions or application statuses. The Protected Veterans or Individuals with Disabilities AAP narratives are available for inspection by any employee or applicant for employment Monday through Friday during normal business hours at establishment.
Skills Required
- Bachelor's degree in data engineering, supply chain, analytics, or related field
- 3+ years of experience in supply chain with competence in analytics and digital technology
- Proficiency with programming languages: SQL, Python, PySpark, Scala
- Experience with visualization platforms and enterprise data ecosystems: Power BI, Tableau, Azure, Google Cloud
- Familiarity with enterprise systems (e.g., SAP)
- Product-oriented mindset with experience delivering end-to-end analytics solutions from concept to deployment
- Strong project management skills with ability to manage multiple priorities and drive outcomes
- Excellent communication and stakeholder management skills, ability to influence cross-functional teams
Unilever Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Unilever and has not been reviewed or approved by Unilever.
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Healthcare Strength — Healthcare coverage is described as comprehensive, spanning medical, dental, vision, life insurance, and occupational health support alongside a 24/7 employee assistance program. Wellbeing offerings such as health checks, resilience tools, and counseling support the perceived depth of health-related benefits.
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Retirement Support — Retirement support includes a 401(k) match that reaches up to 5% of base salary, strengthening the overall value of the package. Share and savings options are also referenced as part of longer-term financial support beyond salary.
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Flexible Benefits — Benefits customization is enabled through tools such as a “My Reward” system and a “Benefits Envelope” that allows employees to personalize selections. Flexible working approaches are also associated with improved overall satisfaction, reinforcing perceived choice and adaptability in the total rewards offering.
Unilever Insights
What We Do
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