Structured Data Senior Lead

PMG•Dallas, TX

44d

About The Position

Named Ad Age Best Places to Work for 11 years in a row and Fast Company Best Workplaces for Innovators since 2022, PMG is a global independent marketing services and technology company that seeks to inspire people and brands that anything is possible. Driven by shared success, PMG leverages business strategy and transformation, creative, media, and insights—as well as its proprietary operating system, Alli—to deliver cutting-edge digital solutions and innovative media strategies. Our team comprises over 900 employees globally, and our work for ambitious brands like Apple, Nike, Sephora, Experian, Therabody, Best Western Hotels & Resorts, Creed Fragrances, BNY, Intuit, CKE Restaurants, Travelex, and Whole Foods spans 85+ countries. 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.

Requirements

7–10+ 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.

Responsibilities

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.

Benefits

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.