Senior Director, Marketing Data Services; Owned & Paid

Position: Senior Director, Marketing Data Services (Owned & Paid)
Job-:
Sales & Marketing

Location:

Bethesda, MD, United States

Schedule:

Full time Posted:
Closes:
Bonus Eligible?: YStock Package?: YAdditional Information:
Remote Pay Range: $146,000-$229,000 annually Bethesda, MD Pay Range: $151,100- $238,000 annually

Position Overview The Senior Director, Marketing Data Services owns the vision, roadmap and adoption of governed data services for Owned and Paid marketing on Marriott’s Data Services Platform. These services cover audiences, activation, contact pressure, media performance and measurement. This is a technical product leadership role and has a strong grounding in data engineering and architecture concepts, enough to frame technical requirements, evaluate design trade-offs, and bring teams up to speed on Marriott’s technologies.

They turn Owned and Paid marketing needs into clear product requirements and roadmaps for reusable data services on Snowflake, AWS and GCP, and serve as the main data partner to marketing stakeholders. As a senior leader within Enterprise Data, Analytics & AI, the role works as one team with the Digital Foundations pod and platform engineering, so marketing data is built once, governed consistently, and ready for AI and real-time decisioning.

Qualifications Required
12+ years in data product management, data strategy or data architecture, including 5+ years leading teams. A foundation in data engineering or analytics engineering is strongly preferred. Proven experience owning data products or platforms end to end: vision, roadmap, requirements, prioritization and adoption. Strong grasp of data engineering concepts, including pipelines, data modeling, data contracts, data quality and orchestration, and the ability to turn business needs into clear technical requirements.

Working knowledge of Snowflake and modern data tooling (e.g., dbt, Airflow). SQL proficiency to explore data and validate solutions. Cloud:
Strong understanding of AWS and GCP data services and architecture patterns, enough to frame requirements and weigh cost, security and scalability trade-offs with engineering. Feature and vector stores:

Understanding of how enterprise feature stores and vector stores are designed and used, and the ability to define requirements for them in ML and AI use cases such as marketing mix modeling (MMM). Graph, No

SQL and distributed databases:
Familiarity with graph, No

SQL and distributed databases (e.g., Neo4j or Neptune, DynamoDB, MongoDB or Bigtable) and when each fits better than the warehouse. Experience defining semantic layers, metric layers or certified KPI frameworks.

Experience with marketing data: CRM and lifecycle, paid media, audiences, attribution and spend. Working knowledge of martech and adtech, such as customer data platforms (e.g., Adobe Experience Platform), email/CRM platforms, search and programmatic platforms, and clean rooms. Strong understanding of privacy, consent and data governance in marketing activation. Proven record of setting direction and building trust across organizational lines, and aligning business and technology teams on consistent, scalable approaches.

Ability to explain technical concepts clearly to senior business stakeholders, and to explain business priorities clearly to engineers. Bachelor’s degree in Computer Science, Engineering, Information Systems or a related quantitative field required; advanced degree preferred. Preferred Prior hands-on experience as a data engineer, analytics engineer or data architect earlier in their career. Familiarity with streaming and event-based data (e.g., Kafka) and API-based data services.

Exposure to Snowflake AI capabilities (e.g., Cortex), ontologies, and data for AI agents. Applied GenAI experience, such as defining AI use cases, data…