Manager, North America Digital & Technology

Unilever•Hoboken, NJ

2d•$103,000 - $154,400

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 and release management.
Skilled in executive-ready communication, including authoring materials for steering committees and leading working-level decision forums.
Strong cross-functional execution with the ability to drive alignment, manage competing priorities, and navigate ambiguous problem spaces.
Hands-on experience with delivery governance tools (RAID logs, dependency mapping, integrated planning).
High emotional intelligence; able to motivate and influence teams without direct authority.
Track record of improving delivery operations (cadence, reporting, rituals).
Bachelor's degree required; business, computer science, engineering, or a related field preferred.
Experience in FMCG/CPG/retail and/or enterprise-scale technology programs

Nice To Haves

5+ years of experience in product management, management consulting, or technology transformation/strategy.
Demonstrated experience leading a digital product or data workstream end-to-end with measurable business impact.
Specialized skills in AI/ML, data engineering, or commercial analytics (pricing, Revenue Growth Management, promotion effectiveness).

Responsibilities

Own program planning for assigned workstreams — define scope, milestones, dependencies, and delivery cadence.
Drive execution and adoption of new tools and ways of working across delivery teams.
Translate business needs into solution requirements and communicate business value to stakeholders.
Manage day-to-day stakeholder interactions independently and escalate trade-offs with recommended options.
Drive alignment between North America needs and global product/data platform capabilities; lead translation of requirements into epics and user stories and ensure fit-for-market delivery.
Run working-level governance forums, own the RAID log for assigned workstreams, and ensure timely decisions and documented follow-through.
Manage cross-product dependencies for assigned workstreams, track delivery health, and lead resolution of blockers across teams.
Define success metrics for assigned workstreams, build and execute change management and training plans, and measure adoption and realized benefits.
Manage third-party deliverables, timelines, and quality; ensure smooth handoffs across partners.
Translate complex data into actionable commercial strategies, driving adoption of analytics tools (e.g., pricing, promotion, Revenue Growth Management) to deliver measurable growth and enable data-driven decision-making.