Senior Director Analyst, Marketing DataOps; Remote

About the role

Gartner Analysts are industry thought leaders who create must‑have research, market predictions and best practices for a broad range of world‑leading organizations. A Senior Director serves as a leader within Gartner's Business and Technology Insights group, establishing oneself as a credible voice within their designated market at local, regional, and global levels. Utilizing exceptional research and analytical skills, a Senior Director, Analyst plays a significant role in producing pragmatic and provocative research which Gartner clients consume and apply to propel their business toward key objectives.

They are a trusted source of advice for clients, reinforcing Gartner's value every day by engaging them via in‑person meetings, virtual meetings, sales support visits and Gartner conferences to discuss complex client challenges and offer appropriate recommendations.

This Analyst sits within Gartner's Marketing & Communications Tech Marketing practice and will guide B2B CMOs and demand generation teams in transforming their functions for business impact. As disruptive forces inside and outside the enterprise are resetting the expectations and objectives of Marketing Leaders, this role will focus on marketing data operations and governance strategy including workflows, technology, and particularly data readiness and the oversight needed for the AI agent transformation in B2B marketing practices.

In addition, this candidate will be expected to cover various aspects of marketing technology through evaluative research such as Magic Quadrants/Critical Capabilities as well as Market Guides and Hype Cycles. The technology coverage will include but is likely not limited to B2B content marketing.

Successful candidates will leverage a deep understanding of B2B CMOs and demand generation leaders (and their teams) to advise those roles in enterprise or upper‑mid‑size companies around:

• Policy Development:
  Crafting and enforcing policies that dictate data acquisition, cataloging, storage, and lifecycle management.
• Standardization and Quality Control:
  Implementing processes such as data cleansing, validation, deduplication, and routine audits to maintain high levels of data quality.
• Cross‑Functional Coordination:
  Collaborating with IT, data engineering, and business leads to ensure data definitions, metadata standards, and quality benchmarks are uniformly applied across the marketing organization.

• Data Consolidation:
  Establishing integration architectures that consolidate data into a single source of truth, such as a centralized data fabric, which enhances marketing personalization and measurement.
• Pipeline Management:
  Designing and monitoring reliable data pipelines that can support real‑time analytics, reporting, and feed into machine learning or AI‑driven decision‑making tools.
• API and Interoperability Standards:
  Ensuring that integration processes are designed with open API standards and event‑driven architectures that support modular and agile data flow between marketing and sales systems.

• Identity Resolution Frameworks:
  Implementing systems that reconcile data from various sources to construct a unified "customer 360" view, thereby enhancing targeted marketing efforts.
• Audience Segmentation:
  Utilizing identity resolution to feed sophisticated audience management tools that enable the creation of granular customer segments. This segmentation is critical for developing tailored content and optimizing campaign delivery.
• Collaboration with CRM and CDP Teams:
  Ensuring that identity resolution processes are integrated with…