Director of Product Management, Data & AI

Swiftly

1d • $200,000 - $250,000 • Remote

About The Position

Swiftly is seeking a Director of Product Management, Data & AI to lead the vision, strategy, and execution of our data platform and AI-driven capabilities. This leader will own the end-to-end product lifecycle for data infrastructure, telemetry, measurement, experimentation, and machine-learning–powered solutions that drive retailer, advertiser, and internal business outcomes.
This role sits at the intersection of Product, Engineering, Data Science, Analytics, Revenue, and Customer Success. The Director will shape how data is collected, governed, modeled, activated, and monetized across a complex multi-tenant retail media and commerce ecosystem. The ideal candidate combines strong product leadership, deep data fluency, and the ability to translate ambiguous business needs into scalable, high-impact platforms and products.

Requirements

• Bachelor’s degree in Computer Science, Data Science, Business, or related field (MBA preferred)
• 8–12+ years in Product Management, with significant experience in data platforms, analytics, or AI/ML-driven products
• Proven experience managing data-driven products and leading cross-functional teams
• Strong understanding of data ingestion processes, ETL, data warehousing, and reporting technologies
• Experience with personalization algorithms, recommendation systems, and machine learning applications
• Excellent analytical skills with the ability to make data-informed decisions
• Exceptional leadership, communication, and collaboration skills
• Proven ability to influence and coordinate cross-functional teams to achieve strategic priorities
• Strong communication skills, with the ability to convey technical details and high-level strategy to a diverse audience
• Experienced in addressing executive leadership, supporting the sales cycle, and handling sensitive customer issues
• Solid understanding of the software development lifecycle and online services management
• Skilled at collaborating across diverse teams and complex organizations to drive results
• Experience leading technology discussions related to product decisions and strategy
• Demonstrated experience in managing roadmap strategy, feature delivery, and product trade-offs
• This position is not eligible for visa sponsorship. Applicants must be authorized to work in the U.S. without the need for current or future sponsorship

Nice To Haves

• Background in retail media, ad tech, martech, ecommerce, or multi-tenant SaaS platforms
• Prior experience in the advertising technology space is a strong plus
• Experience with attribution modeling, incrementality testing, or performance marketing analytics
• Familiarity with modern analytics stacks, feature stores, and ML lifecycle tooling
• MBA or equivalent business and technical leadership experience
• Passion for technology, curiosity to dive deep into Swiftly’s suite of technical products and commitment to learning and expanding technical knowledge

Responsibilities

• Define and execute the multi-year roadmap architecture for ETL pipelines, telemetry, identity, storage, transformation, and activation layers
• Partner with Engineering and Analytics Engineering to evolve scalable, reliable, and cost-efficient data architecture
• Establish product requirements for client telemetry, event tracking standards, and data quality frameworks
• Drive governance, privacy, and compliance alignment across retailer and advertiser data flows
• Lead initiatives that improve data completeness, accuracy, and trust, especially where incomplete or inconsistent data impacts business KPIs
• Develop and scale reporting, dashboards, and self-serve analytics capabilities for internal teams and external partners
• Balance foundational platform investments with high-revenue product domains such as audience optimization, personalized advertising, rebates, and promotional systems
• Align data strategy with adjacent domains including loyalty, rewards, ecommerce, challenges, and catalog intelligence
• Evaluate trade-offs between technical debt reduction and new feature development to maximize long-term platform health and business impact
• Partner with Data Science to deliver ML-powered personalization, audience optimization, and predictive insights
• Translate experimentation, modeling, and algorithmic outputs into usable and explainable product features
• Identify and prioritize AI opportunities that drive revenue growth, operational efficiency, and competitive differentiation
• Mentor Product Managers focused on data and AI initiatives
• Serve as the connective tissue between Product, Engineering, Data Science, Design, Revenue, and Operations
• Establish intake, prioritization, and roadmap governance processes for data-related initiatives across the organization
• Communicate vision, progress, and outcomes to executive leadership and stakeholders with clarity and credibility

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level