Retail Personalization Lead Strategist (Targeted Offer Engine)

Solvd

5d

About The Position

Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes.
Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively.
Solvd is hiring a Retail Personalization Lead Strategist to lead strategy and discovery for an Always-On Targeted Offer Engine initiative. This project will enable personalized, eligibility-driven incentives across digital touchpoints by leveraging existing personalization platforms such as Salesforce Marketing Cloud Personalization (Interaction Studio) and Adobe Target.
You will help the client shift from campaign-based promotions to continuous, behavior-led engagement using real-time customer signals like browsing behavior, product affinity, visit frequency, and purchase intent. This is a highly client-facing role with clear discovery deliverables and tight milestones.

Requirements

• 5+ years in personalization, CRM strategy, or digital marketing strategy (retail/e-commerce strongly preferred)
• Proven experience designing enterprise-level offer or promotional governance frameworks
• Hands-on experience facilitating stakeholder workshops and translating outputs into actionable strategic documentation
• Strong understanding of customer lifecycle stages and behavioral trigger logic
• Experience partnering with MarTech/engineering teams and writing briefs that architects and engineers can execute against
• Working knowledge of A/B testing, experimentation design, and incrementality measurement principles
• Comfortable in a fast-paced, client-facing consulting environment with hard deliverable deadlines

Nice To Haves

• Direct experience with Salesforce Marketing Cloud Personalization (Interaction Studio)
• Familiarity with Adobe Target or similar experimentation platforms
• Background in premiumization or brand repositioning programs
• Experience with loyalty strategy, offer mechanics, and incentive structures
• Retail sector experience (apparel, footwear, or sporting goods preferred)
• Exposure to CDP architecture and how segment data flows into activation systems

Responsibilities

• Serve as the day-to-day strategic point of contact for the client’s Personalization Lead throughout the engagement
• Lead weekly status calls and milestone reviews; prepare stakeholder-ready materials for phase sign-offs
• Facilitate discovery workshops (Weeks 1–2) to capture business rules, constraints, approval workflows, and commercial objectives across Personalization, CDP, Marketing Ops, and Mobile App teams
• Frame offer strategy within the client’s premiumization journey so use cases move customers toward fuller-price behavior rather than reinforcing discount dependency
• Define and document the Offer Taxonomy, including: offer type, channel applicability, customer segment discount value ranges, trigger events, expiry logic stacking rules and priority tier hierarchy
• Build the Offer Governance Framework (versioned, living documentation) as the single source of truth for how offers are created, approved, distributed, and retired
• Define offer conflict logic for scenarios where customers qualify for multiple active offers simultaneously
• Establish suppression rules, including frequency caps, post-purchase suppression windows, and channel suppression logic
• Audit current promotions across email, web, and app to identify cannibalization risks and commercial conflicts before build begins
• Own discovery deliverables: offer audit report offer taxonomy governance framework v1 experimentation methodology document
• Translate strategy into structured, execution-ready briefs for the MCP Architect, SFMC Engineer, and Adobe Target Specialist
• Author the end-of-engagement Scale Recommendation document with evidence-backed go/no-go guidance for each offer use case
• Advise on loyalty integration, clarifying where loyalty sweeteners complement targeted offers vs. where they create conflicting incentive structures

Benefits

• Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation.
• Be part of a global team with equal opportunities for collaboration across continents and cultures.
• Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed