Senior Analyst, North America Digital & Technology

Unilever•Hoboken, NJ

10d•$88,600 - $133,000

About The Position

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.

Requirements

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.

Nice To Haves

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

Responsibilities

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.
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.
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.
Prepare materials for governance forums, track Risks, Assumptions, Issues, and Dependencies (RAID) items, and document follow-ups and decisions.
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.
Assist in defining success measures, coordinating training, and supporting change management activities. Partner with business teams to monitor early adoption indicators.
Coordinate with third-party partners on deliverables, timelines, and quality expectations.
Apply analytics tools (e.g., pricing, promotion, Revenue Growth Management) to support actionable insights and contribute to data-driven decisions within assigned scope.