Manager E-Commerce Strategy

Nestle Operational Services Worldwide SA•Seattle, VA

33d•$130,000 - $184,000

About The Position

The eCommerce Strategy Manager, Emerging Channels and Capabilities, plays a critical role in shaping how the Coffee and Beverage Division grows and evolves across the digital commerce landscape. This role is responsible for building strategies, capabilities, and ways of working that strengthen digital shelf performance, improve conversion, support emerging channel expansion, and ensure the Division is prepared for the next wave of commerce across retailer platforms, social environments, fulfillment models, and AI-enabled shopping experiences. While Agentic Commerce and AI readiness will be a significant early focus, the role is broader than AI alone. The Manager will serve as a strategic connector across Brand, Sales, Category Development, Supply Chain, Digital Shelf, Retail Media, IT, Data Governance, Analytics, Global, and CDG teams to translate evolving shopper behaviors, customer requirements, technology shifts, and commercial priorities into clear action plans. This individual will help the Division test, scale, and operationalize new capabilities that improve visibility, availability, content quality, assortment execution, and overall eCommerce performance.

Requirements

Bachelor’s Degree required; advanced degree preferred.
5+ years in eCommerce, digital strategy, category leadership, or data-driven commercial roles preferred.
AI-Fluency and familiarity with retailer agents and external AI tools (e.g., Rufus, Sparky, ChatGPT, Gemini, Copilot, Claude) is required.
Experience with data modeling, metadata governance, digital shelf tools, and retail media preferred.
Strong analytical skillset with the ability to convert complex data into simple strategic stories.
Proven influence skills across cross-functional teams; ability to lead without authority.
Comfortable navigating ambiguity and building net-new capabilities.

Nice To Haves

Thinks several steps ahead; operates as a future architect, not a process executor.
Highly curious and proactive in understanding emerging AI retail technologies.
Translates ambiguity into structured frameworks and repeatable processes.
Balances strategic vision with hands-on execution.
Inspires cross-functional partners and elevates organizational digital maturity.

Responsibilities

Lead Agentic Commerce Strategy: Own the Division’s multi-year roadmap and execution plan for Agentic Commerce, ensuring readiness across retailer AI assistants, agentic shopping experiences, and external AI discovery ecosystems. Partner with IT, Digital Enablement, and Regulatory teams to define the structured data, metadata, product attributes, and clarity signals required for AI-based recommender engines to interpret and elevate C&B products. Be accountable for Leadership-aligned AI visibility metrics—including visibility ranking, recommendation frequency, attribute accuracy, digital completeness, and AI-generated product representation—and translate performance gaps into strategic priorities. Partner with SRM, Category, and CDCE to ensure data, content, commercial inputs, and annual resourcing needs are aligned to the Division’s Agentic Commerce strategy. Provide AI-informed commercial inputs for joint business planning, line reviews, and omni-category assessments.
Digital Shelf & Conversion Excellence: Set the Division’s standards for AI-ready digital shelf excellence, ensuring PDP content, taxonomy, navigation, variation structures, and product attributes improve both human conversion and machine readability. Partner with the eCommerce Enablement team to use Salsify, Syndigo, NIQ, and emerging AI visibility tools to diagnose performance gaps, prioritize interventions, and inform content, data, and technology needs. Connect content, paid search, retail media, reviews, availability, and external authority signals into a unified conversion strategy across the digital path to purchase. Translate digital shelf and AI visibility diagnostics into brand and customer action plans tied to visibility, share of voice, answer accuracy, recommendation rate, and conversion performance.
Capability & Channel Expansion: Define the Division’s capability expansion roadmap across Direct Fulfillment, Social Commerce, retail AI shopping assistants, next-generation routes-to-market, and eCommerce-specific pack and commercialization strategies. Evaluate and prioritize new platforms, AI shopping programs, personalization capabilities, and fulfillment innovations through business cases that assess size of prize, shopper behavior shifts, data requirements, operational complexity, and expected commercial impact. Determine where C&B should test, scale, or deprioritize emerging channels by assessing profitability, supply chain readiness, customer fit, technology requirements, investment needs, and planning implications. Capture learnings from pilots across retailer AI experiments, social commerce activation, agentic discovery, substitution logic, and new fulfillment models to inform future scaling decisions.
Cross-Functional Leadership & Integration: Act as the strategic integrator across Brand, CD, Supply Chain, Sales, Digital Shelf, Retail Media, IT, Data Governance, and Analytics—translating agentic commerce priorities into aligned decisions, clear ownership, and coordinated execution. Lead education and capability building on Agentic Commerce so teams understand changes in the shopper journey, the actions they own, and how AI visibility insights should inform planning. Drive enterprise alignment on data governance, retailer requirements, and operating model implications to ensure the Division has the standards and processes needed to keep product data, content, and performance signals accurate and actionable. Provide Leadership with strategic readouts on AI visibility performance, competitive gaps, emerging risks, investment needs, and recommended interventions. Establish a closed-loop KPI system aligned to Leadership-level AI visibility priorities, enabling teams to identify gaps, assign owners, measure impact, and optimize beyond traditional operational metrics.
Business Optimization & Assortment Execution: Serve as the Division’s conduit for business optimization, translating agentic commerce capabilities, digital shelf insights, customer needs, and commercial priorities into clear execution plans. Operationalize new eCommerce and AI-enabled capabilities by defining the processes, tools, handoffs, and ways of working needed to move from strategy to scalable execution. Partner cross-functionally to support assortment execution needs, including item setup, pack architecture, content readiness, availability considerations, and retailer-specific commercialization inputs. Identify capability gaps and execution barriers, then create simple playbooks, routines, and recommendations that help teams activate new capabilities more independently.