Sr. Director Analyst, CIO - Data & Analytics Platform Strategy

About the role:

Gartner Analysts are industry thought leaders who create must-have insights, 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 (BTI) 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 plays a significant role in producing pragmatic and provocative insights 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.

The analyst will focus on the priorities shaping the CIO for the D&A agenda, including D&A and AI strategy and operating models, measurable value realization, data and AI governance, AI-ready data, modern data platforms, analytics delivery models, and the impact of agentic and composite AI. The role will help clients translate these topics into practical decisions about organization design, governance, architecture, skills, investment, vendor selection and execution.

What you will do:

• •Support and advise CIOs on relevant D&A challenges
• •Provide in-depth domain expertise in D&A and support efforts to lead D&A strategy, modernization, architecture, governance and more.
• •Create innovative, thought provoking, and highly leveraged “must-have insights” content for CIOs through thought leadership and offer compelling, actionable approaches to client's needs and requests that accelerate the client's ability to act.
• •As part of the Technology Leadership Cohort, support CIO Mission Critical Priorities, such as “Modernizing Platforms to scale AI” and Perennial Priorities like Technology & Data Management
• •Develop in-depth analysis to identify the root cause of a client’s barriers or overall needs and reframe thinking to drive strategy forward
• •Research, analyze and predict market trends and shifts to provide clients and vendors with actionable insights
• •Provide clients and prospects with actionable advice aligned to their designated content area via virtual or face-to-face interactions
• •Create and deliver high value presentation materials on and off stage for Gartner events, industry and professional association conferences, and client briefings
• •Build credibility as an industry expert to represent Gartner insights, methodology and strategy
• •Actively participate in innovation, ideation, and research discussions and collaborate effectively with peers in the Insights community
• •Identify research process improvements or develop new processes that help the team and BTI provide excellent service delivery
• •Be a mentor and a coach by supporting more junior team members
• •Bring provocative, independent insights to Gartner leaders that can evolve the course of a research agenda
• •Support BTI and Sales: Provide sales support serving as voice of the market to help Insights teams create content and to drive engagement with clients to make progress against their critical priorities to grow their business
• •Provide high quality and timely content peer review
• •Be client-centric while actively seeking to help clients engage regularly and often with Gartner insights and interactions
• •Lead research on how D&A leaders develop, align and govern D&A and AI strategies and operating models that deliver measurable business outcomes
• •Advise clients on AI value realization, use-case prioritization, portfolio governance, funding, metrics and delivery models for D&A products, projects and programs
• •Evaluate emerging practices for agentic AI, composite AI and AI-enabled analytics, including enterprise use cases, production readiness, reliability, risk and organizational implications
• •Develop guidance on integrated data and AI governance, responsible AI, AI governance frameworks, data privacy, residency and sovereignty, and scalable enterprise adoption
• •Cover AI-ready data practices, modern data management architectures and platforms, data integration, metadata, data quality, observability, self-service analytics and data operations
• •Assess D&A maturity, talent, roles and literacy requirements, and provide practical recommendations for building the capabilities and change programs needed to scale D&A and AI

What you will need:

• •Bachelor's degree or equivalent experience; Graduate degree preferred
• •12+ years of relevant field or industry experience
• •Understanding of the CIOs D&A agenda, with the ability to turn complex D&A and AI issues into clear, provocative and actionable guidance for a C-level audience
• •Expertise in D&A and AI strategy, operating models, governance and value realization, including the alignment of initiatives to measurable business outcomes
• •Expertise in modern data management architecture and platforms, including data integration, data products, metadata, data quality, observability and data operations
• •Strong knowledge of data governance and AI governance frameworks, including responsible AI, privacy, data residency, sovereignty, risk and policy implementation
• •Experience with AI-ready data processes and capabilities, including assessing data readiness for different AI use cases and integrating data governance with enterprise AI strategy
• •Experience evaluating agentic AI and composite AI capabilities, use cases and business value, including AI-agent reliability, production readiness, controls and implications for D&A teams
• •Experience with analytics delivery models, self-service analytics, D&A product and portfolio management, and methods for scaling adoption while maintaining appropriate governance
• •Ability to assess D&A organizational maturity, leadership practices, skills, roles and data/AI literacy, and to recommend pragmatic capability-building roadmaps
• •Data & Analytics experience in the wealth or asset management (Investment Services) industry not required but preferred.
• •Demonstrate 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
• •Demonstrate excellence in research and writing ability
• •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 communication skills - able to explain complex concepts concisely and simply
• •Subject matter expertise; comfortable presenting at large and small-scale speaking engagements
• •Strong business and financial acumen
• •Deep knowledge of the global and competitive landscape within subject area (including key vendors) as well as the interplay in that market
• •Ability to work independently, while also being intrinsically motivated to collaborate across teams and support the workflow of others, in a multicultural global team
• •Learning agile and adept with navigating highly matrixed environments
• •Strong executive presence and ability to establish credibility with senior-level audiences.
• •Ability to represent Gartner's research methodology and strategies effectively at all levels
• •Ability to take peer feedback and provide constructive feedback to others.
• •Willingness and ability to travel up to 25% (where applicable)
• •Comfort level with presenting at large and small-scale speaking engagements.

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