Associate CO Data & Analytics Product Manager

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
Bachelors 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 $88600 to $133000. 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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