Structured Data Senior Lead

PMG

$100K — $130K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 7-10+ years in structured data, product feeds, or marketing data engineering.
  • Hands-on experience with product-driven campaigns like Google Shopping and Meta Catalog.
  • Strong understanding of structured data logic and schema design.
  • SQL proficiency and familiarity with feed management systems.
  • Experience in driving measurable outcomes through metadata enhancements.

Responsibilities

  • Architect and evolve structured data solutions for media performance.
  • Own frameworks supporting product-driven campaigns across multiple channels.
  • Translate media objectives into scalable data models and schemas.
  • Identify and prioritize enhancements for better performance metrics.
  • Elevate product feed practices to create a strategic advantage.
  • Drive data augmentation and enrichment initiatives for automation.
  • Establish structured data standards and mentor junior team members.

Benefits

  • Professional development and mentorship opportunities.
  • Generous paid time off and holiday allowances.
  • Paid parental leave support.
  • Competitive retirement and pension plans with matching.
  • Fertility benefits for all team members and spouses.
  • Comprehensive healthcare coverage tailored by geography.
  • Annual bonus eligibility for all employees.
  • Pet insurance and lifestyle spending accounts.
  • Commuter benefits where available.
  • Volunteering opportunities with 8 give-back hours.
  • Access to AI Enterprise accounts and training sessions.
Full Job Description
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.


What We Offer
  • Professional Development: Take advantage of our learning and development programs, mentorship opportunities, and career advancement support.
  • Generous Time Off: Enjoy generous paid time off and holiday allowances to recharge and spend time with loved ones.
  • Parental Leave: We provide paid parental leave to support your family during important life events.
  • Retirement & Pension Plans: Plan for your future with competitive retirement or pension programs, including contribution matching.
  • Fertility and Family Support: Access fertility benefits for all team members and their spouses.
  • Healthcare: Coverage and support for everyday medical expenses and routine care, tailored by geography.
  • Pet Insurance: Protect your pet's health and your finances.
  • Lifestyle Spending Accounts: Enjoy 100% company-funded accounts to promote healthy habits and well-being.
  • Commuter Benefits: Access support for travel and commuting needs, where available.
  • Annual Bonus: All employees are eligible for an annual bonus.
  • Volunteering Opportunities: Receive 8 give-back hours to volunteer in your local communities.
  • AI Enterprise License: Access AI Enterprise accounts and participate in weekly AI training sessions to empower and ensure AI safety.

Benefits vary by country, location, and geography to reflect local laws, norms, and expectations.

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