Structured Data Senior Lead

Who You Will Be Working With

You’ll be part of PMG’s Applied Technology organization, focused on Structured Data and Product Feed strategy that powers product-driven media campaigns at scale. This team operates at the intersection of commerce, media, analytics, and platform innovation. You will work closely with:

• Vertical Business Leads and Client Strategy teams to align structured data decisions with commercial goals
• Media teams across Search, Social, Programmatic, and Retail Media to ensure feeds are built for performance
• Analytics and Measurement teams to improve product-level visibility and reporting
• Alli Product and Engineering teams to influence roadmap decisions around feed infrastructure, automation, and emerging AI capabilities

You’ll operate as a senior individual contributor with strong cross-functional influence—frequently internal client team–facing and external client-facing in strategic or technical conversations.

What You’ll Be Doing

• As a Structured Data Senior Lead, you will architect and evolve structured data solutions that directly impact media performance, personalization, and automation.
• Own and evolve structured data frameworks that support product-driven campaigns across search, social, programmatic, and retail media.
• Translate business and media objectives into scalable data models, schemas, and transformation logic.
• Identify and prioritize metadata enhancements that unlock measurable impact in match rates, impression quality, conversion performance, and automation inputs.
• Elevate product feed practices from operational execution to strategic advantage—ensuring feeds are designed for performance, not just platform compliance.
• Drive data augmentation and enrichment initiatives, including:
• Attribute expansion and optimization
• Product clustering and categorization strategies
• Integration of margin, inventory, or lifecycle data
• Contextual tagging to support bidding and creative logic
• Design structured data systems that anticipate automation and emerging “agentic commerce” use cases, such as AI-generated creative testing, automated product selection, and intelligent merchandising workflows.
• Partner with Alli Product and Engineering teams to influence feed infrastructure, governance standards, and automation capabilities.
• Establish structured data standards, validation frameworks, and QA protocols to ensure scalability, transparency, and long-term integrity.
• Mentor junior team members through guidance, review, and best-practice setting—raising the overall technical and strategic maturity of the function.
• Use AI and automation thoughtfully to improve feed workflows, reduce manual effort, and enhance structured data quality.

What You’ll Bring

• 6+ years of experience in structured data, product feeds, commerce data, or marketing data engineering.
• Hands-on experience supporting product-driven campaigns (e.g., Google Shopping, Meta Catalog, retail media networks, dynamic creative).
• Strong understanding of structured data logic, schema design, and transformation workflows.
• SQL proficiency strongly recommended; comfort working with feed management systems and rule-based transformations.
• The ability to translate business and media requirements into scalable data structures.
• Experience driving metadata enhancements or data enrichment initiatives tied to measurable outcomes.
• Familiarity with AI or automation applied to structured workflows, with sound judgment on where it adds real value.
• Comfort operating independently on highly complex initiatives involving multiple stakeholders.
• Strong communication skills and the ability to influence cross-functional partners without formal authority.
• Experience mentoring or guiding junior team members in a collaborative, hands-on way.
• Curiosity about emerging commerce models, including how structured data can enable intelligent and automated systems.