VP, Analytics Engineering & DnA Operations

The Data Intelligence and Analytics (DnA) team sits at the center of the Disney Entertainment Direct-to-Consumer (DTC) business, powering decisions across our streaming portfolio with analytics, data science, and decision frameworks. As Vice President, Analytics Engineering & Operations, you will lead the connective tissue and decision infrastructure of DnA, ensuring our analytics function is trusted, fast, scalable, and operationally excellent across Disney+, Hulu, and ESPN. 

This role oversees Analytics Engineering, DnA Operations, the Program Management Office (PMO), Technical Program Management (TPM), and International Analytics. You will be the executive accountable for the semantic layer and source of truth, metrics governance, BI and reporting, enablement, AI Analytics capabilities, cross-DnA program delivery, strategic operational rhythms, and the global operations engine that aligns our regional Data & Analytics partners. You will also serve as a senior cross-functional partner to leaders across DTC, Product & Technology, Finance, and ESPN, helping embed reliable, well-governed analytics into the day-to-day operations of the business. 

Responsibilities 

• Define and communicate the vision, strategy, and multi-year roadmap for DnA Operations and Analytics Engineering, elevating both functions into scalable, AI-enabled capabilities that accelerate decision velocity across DTC. 

• Lead Analytics Engineering across all verticals and cross-DTC stakeholders, including ownership of the semantic layer, source of truth, metrics governance, BI and reporting, enablement, and AI Analytics, ensuring every metric means the same thing everywhere and is available when, where, and how teams need it. 

• Lead DnA Operations, PMO, and TPM, ensuring predictable, on-time delivery across cross-DnA programs through operational rigor, risk mitigation, and cross-functional alignment, and ensuring strategic alignment and enablement through standardized operational rhythms, transparent planning, and consistent narratives across DnA. 

• Lead International Analytics as the global operations engine, partnering with regional Data & Analytics teams to roll out common solutions and standards, localize tools and processes, and foster global-to-regional alignment. 

• Advance AI Analytics initiatives, including the development of AI-powered tools and features on foundational models, evaluator frameworks for LLM accuracy and consistency, AI agentic workflows with appropriate guardrails, and third-party analytics tool evaluation, implementation, and governance. 

• Oversee core operational pillars including tooling and enablement (Looker, Tableau, and proprietary AI tools), analytics operations, and reporting for launch initiatives and executive-facing deliverables, ensuring data integrity, quality, and SLA compliance. 

• Partner with senior leaders across DTC, Product & Technology, Finance, and ESPN to define success metrics for company initiatives and enable data support for measurement and tracking in partnership with Data Platforms teams. 

• Architect and execute the operating model for DnA's connective tissue, including ways of working, intake, prioritization, and delivery frameworks that scale across DnA and its cross-functional partners. 

• Act as a neutral, expert third party gaining alignment across business, technology, finance, and regional stakeholders while maintaining analytical and operational rigor. 

• Develop talent through coaching, mentoring, and structured leadership growth, building managers into senior leaders and establishing team culture, identity, and career pathways that blend technical excellence with business acumen. 

Required Qualifications 

• 12+ years of experience in analytics, analytics engineering, data science, technical program management, or operations roles, with 8+ years in leadership or management, ideally in streaming, technology, or digital media. 

• Bachelor's degree in Business, Data Science, Economics, Statistics, Computer Science, or a related quantitative or business discipline. 

• Proven success building and scaling analytics engineering, BI, or analytics operations capabilities in product-led organizations. 

• Deep expertise in semantic layer design, metric governance, and ensuring consistency across reporting, analysis, experiments, forecasts, and executive reviews. 

• Strong fluency with analytics tools (SQL, Python/R, Looker, Tableau) and modern data platforms (Snowflake, Databricks, Airflow, AWS or equivalent). 

• Demonstrated experience leading program management, technical program management, or cross-functional operations at enterprise scale. 

• Strategic experience with AI/ML applications in analytics, including AI-powered business intelligence, LLM tool development, evaluator frameworks, or AI agentic workflows. 

• Track record of executive communication and influence across technical and non-technical audiences, with the ability to engage senior stakeholders through data narratives and operational clarity. 

• Proven ability to architect and execute multi-year roadmaps, including the evolution of operating models, methodologies, tools, technology, and data products. 

• Experience leading globally distributed or international analytics teams, or partnering closely with regional teams to localize tools and processes. 

Preferred Qualifications 

• Advanced degree in Business, Data Science, Economics, Statistics, Computer Science, or a related quantitative or business discipline. 

• Prior leadership experience in the streaming media industry and/or supporting a direct-to-consumer or subscription-based product. 

• Knowledge of subscriber lifecycle, content engagement, retention analytics, and account-based performance analytics. 

• Prior experience leading AI Analytics initiatives, including proprietary AI tools, LLM evaluation frameworks, or AI agentic workflow implementations. 

• Experience with data quality and observability frameworks including anomaly detection, business logic testing, and SLA monitoring. 

• Familiarity with project management methodologies and tools such as Atlassian JIRA, Airtable, or Asana for managing complex cross-functional initiatives.