Retail Personalization Lead Strategist (Targeted Offer Engine)

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.

What you’ll do

• 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

Who you are

• Commercially-minded: you connect personalization decisions to a clear revenue and margin thesis

• Precise communicator: you produce structured, unambiguous documentation that downstream teams can implement without guesswork

• Comfortable across audiences: you can lead a workshop with senior marketing leadership and also align in detail with engineers in Confluence/Notion

• Confident, constructive challenger: you push back when instincts conflict with data, without losing stakeholder trust

• Strong point of view on personalization: you can clearly articulate the difference between targeting and relevance

Required qualifications

• 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 have

• 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

Tech stack / tools

• Salesforce Marketing Cloud Personalization (MCP / Interaction Studio)

• Salesforce Marketing Cloud (SFMC)

• Adobe Target

• Constructor

• CDP (Salesforce or similar)

• Confluence / Notion

• Miro / FigJam

• PowerPoint / Google Slides

When you join Solvd, you'll…

• 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.

Ready to make an impact?

If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together.