Senior Analyst, North America Digital & Technology

About this role

JOB PURPOSE

At Unilever, Digital and Technology is helping shape the next chapter of growth for one of the world’s leading consumer goods companies. This is an opportunity to work on the highest-value applications of technology across a North America business with scale, complexity, and global influence. You will use cutting edge technology, data, digital products, and artificial intelligence to transform how we operate, serve customers, and connect with consumers.

This role offers exposure to transformational change. You will contribute to priority initiatives that sit on the leadership agenda, including artificial intelligence-enabled capabilities that are attracting significant investment and visibility across the business. As part of a rotational model, you will build breadth across strategic digital priorities, moving across high-impact opportunities where technology will unlock measurable value, accelerate decision-making, and strengthen competitive advantage.

North America is a lighthouse market for Unilever globally, giving this role a unique platform to help prove, scale, and shape solutions that can influence the wider enterprise. You will partner across business and technology teams, translate complex needs into practical delivery, and help create smarter, faster, and more connected ways of working — while building the experience, relationships, and commercial understanding needed to grow as a digital business leader.

KEY RESPONSIBILITIES

​​Program planning and change management — Support program planning by helping define scope, key milestones, and delivery needs across workstreams, under direction of team leads. Maintain updated plans and help keep teams aligned to timelines.

​Stakeholder coordination — Work with business and technology partners to clarify priorities and share status updates. Flag risks and trade-offs to senior team members for decision-making.

​Cross-team alignment — Coordinate between North America teams and global product/data platform groups under guidance. Translate local requirements into clear user stories and support delivery teams in meeting market needs.

​Governance support — Prepare materials for governance forums, track Risks, Assumptions, Issues, and Dependencies (RAID) items, and document follow-ups and decisions.

​Product dependency coordination — Work with related product teams to support management of dependencies, track delivery progress, and flag scope changes. Escalate day-to-day blockers to keep work moving.

​Benefits & adoption support — Assist in defining success measures, coordinating training, and supporting change management activities. Partner with business teams to monitor early adoption indicators.

​Vendor coordination — Coordinate with third-party partners on deliverables, timelines, and quality expectations.

​Data analytics and insight generation — Apply analytics tools (e.g., pricing, promotion, Revenue Growth Management) to support actionable insights and contribute to data-driven decisions within assigned scope.​

KEY CAPABILITIES

Product & Artificial Intelligence (AI) Fluency — Support product and AI initiatives by translating business requirements into solutions under guidance. Build fluency in emerging technology.

Program Delivery Support — Assist delivery across programs by tracking progress and supporting change management activities so teams execute with quality.

Business & Consumer Alignment — Ground daily work in business outcomes; support business cases and apply consumer insights to inform team decisions.

Value Realization & Storytelling — Support tracking of measurable outcomes and help communicate impact to cross-functional partners.

Collaboration & Teamwork — Work effectively across teams and contribute to high-performing delivery squads.

Cross-Functional Learning — Build understanding of supply chain, R&D, marketing, and customer operations to support alignment.

Insights & Analytics Expertise — Apply data and analytics tools to develop actionable insights; support adoption of customer and analytics tooling.

REQUIRED QUALIFICATIONS

​​Experience coordinating delivery across product, engineering, and business teams; working knowledge of Agile practices, sprint ceremonies, and release management processes.

​Skilled in executive‑ready communication, including preparing materials for leadership updates, steering committees, and decision‑making forums.

​Strong cross‑functional leadership with the ability to drive alignment, manage competing priorities, and support teams navigating ambiguous problem spaces.

​Hands‑on experience with delivery governance tools such as RAID logs, dependency mapping, and integrated planning for multi‑team programs.

​High emotional intelligence and strong collaboration skills

​Track record of improving delivery operations, including cadence, reporting, and scaling repeatable ways of working across teams.

​Bachelor’s degree required; in business, computer science, engineering, or a related field preferred.

​Experience in FMCG/CPG/retail and/or enterprise‑scale technology programs

​Curiosity and demonstrated learning agility in a fast-paced commercial environment.

​​PREFERRED QUALIFICATIONS

​​2+ years of relevant experience in product management, consulting, or technology delivery.

Knowledge of supply chain operations and manufacturing process

Experience in digitization and automation in the supply chain

​1–2 years of hands-on experience with analytics platforms (e.g., Power BI, Tableau, Structured Query Language [SQL]).

​Exposure to AI/Machine Learning (ML) concepts or product environments ​ 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 bon

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