Senior Director Analyst, B2B Marketing Data Ops (Remote-US)

Gartner•Irving, TX

7d•$172,000 - $202,500•Remote

About The Position

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-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

Requirements

Hands-on experience as a data operations professional for a B2B 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 marketing data experience
Deep understanding of data management, data integration architectures, API standards, data pipeline development, and familiarity with emerging technologies in AI agents
An informed understanding of the challenges facing marketing leaders within the enterprise and drivers of business impact
Ability to translate complex technical requirements into actionable business insights. This includes strong analytical capabilities to align data operations with broader marketing strategies and revenue goals
Demonstrated executive presence; can immediately establish credibility with executives and additional stakeholders
Strong organizational skills; ability to work under tight deadlines and produce high quality deliverables
Strong written and verbal proficiency, analytical and presentation skills; ability to engage clients and respond effectively to questions
Proficient in analyzing and synthesizing data; can effectively apply patterns and frameworks while drawing and defending conclusions to client challenges
Strong communicator who is able to explain complex concepts concisely and simply
Subject matter expert comfortable presenting at large and small-scale speaking engagements
Ability to work independently, while also being intrinsically motivated to collaborate across teams and support the workflow of others, in a multicultural global team
Ability to represent Gartner's research methodology and strategies effectively at all levels

Responsibilities

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