Note: The job is a remote job and is open to candidates in USA. Government Tactical Solutions, LLC is seeking a Digital Product Manager for Personalization Intelligence to support BJ’s Wholesale Club in Marlborough, MA. The role focuses on defining and executing the product roadmap for AI-driven personalization, utilizing machine learning and data science to enhance customer engagement and revenue across various touchpoints.
Responsibilities
- Define and execute the product roadmap for Personalization Intelligence across all customer touchpoints
- Establish clear business goals, measurable outcomes, and prioritization strategies tied to incremental revenue and customer engagement
- Lead the transformation from campaign-based targeting to intelligent, model-driven personalization at scale
- Partner closely with Data Science to design, develop, and scale recommendation engines, propensity-to-buy models, predictive engagement models, and churn prediction models
- Own the end-to-end machine learning product lifecycle, including business case development, model training, testing, deployment, and ongoing optimization
- Translate machine learning outputs into actionable personalization strategies that can be tested and measured
- Develop experimentation frameworks and hypotheses to measure incremental business impact
- Collaborate with analytics teams to establish tracking, reporting, experimentation design, and performance measurement
- Monitor machine learning performance metrics alongside key business KPIs to continuously optimize personalization initiatives
- Drive accountability for product execution, business outcomes, and roadmap delivery
Skills
- 4+ years of Product Management experience
- Demonstrated experience delivering personalization platforms, recommendation systems, propensity-to-buy models, or other predictive machine learning products
- Strong understanding of product discovery, prioritization, roadmap development, and stakeholder management
- Experience partnering with cross-functional teams including Data Science, Engineering, Analytics, and Business leaders
- Excellent verbal and written communication skills with the ability to influence technical and non-technical stakeholders
- Proven ability to collaborate across product, engineering, data science, analytics, and business teams to align priorities and deliver measurable results
- Effectively manages competing priorities while driving multiple initiatives simultaneously
- Demonstrates ownership throughout the product lifecycle and uses data-driven decision making to maximize business impact
- Understands how AI-powered personalization supports broader business objectives, customer engagement, and revenue growth
- Balances customer needs, technical feasibility, and business priorities when making product decisions
- Retail or e-commerce experience strongly preferred
- Hybrid preferred; remote candidates in approved states will also be considered
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