Senior Director Analyst, Marketing DataOps (Remote-US)

About this role

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 and B2C 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 and B2C 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.

Successful candidates will leverage a deep understanding of B2B and B2C CMOs and demand generation leaders (and their teams) to advise those roles in enterprise or upper-midsize companies around:

Data Governance and Quality Strategy • 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.

Integration and Data Pipelines Across MarTech/AdTech • 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 and Audience Management • 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 broader customer data strategies and support regulatory and privacy mandates

Taxonomy and Metadata Management • Content and Data Classification: Establishing a logical categorization of data elements and marketing assets that align with organizational needs.

• Metadata Standards: Implementing consistent metadata descriptions and schemas, which aid in data discoverability, audit trails, and compliance with regulatory requirements.

• Interdepartmental Alignment: Working closely with product marketing, analytics, and IT teams to ensure that taxonomy structures reflect common business terminologies and practices, thus facilitating a unified marketing narrative

What you will do:  • Deliver high-quality actionable advice to an executive client audience through a variety of formats.

• Write evidence-based content that is clear and actionable.

• Create and deliver presentations for webinars and other client-facing Gartner events.

• Deliver outstanding sales and service support to retain and grow the Gartner business.

• Build credibility as an industry expert to represent Gartner research, methodology and strategy.

• Actively participate in innovation, ideation, and research discussions and collaborate effectively with peers in our research community.

• Be a mentor and a coach by supporting more junior team members

What you will need:  • Hands-on experience as a data operations professional for a B2B and/or B2C company (technology companies preferred), with a marketing focus either in a corporate or for large business unit or equivalent agency side including: 

-Experience architecting and deploying context layers and AI agents at scale within marketing environments -Deep knowledge of permissions management, data security, and regulatory compliance in the context of AI-driven marketing operation -Track record of building and scaling data operations that support advanced AI use cases, including context-aware personalization and autonomous agent workflows. -Establishing and enforcing robust lineage tracking, compliance frameworks, and permission/policy controls for all data and AI-driven processes, ensuring regulatory adherence and ethical use of data

• Bachelor's degree or equivalent experience; Graduate degree preferred

• 12+ years of relevant B2B and/or B2C market

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