Senior Director Data Platform & Strategy

Endeavor Business Media•Remote, US,

About The Position

This role will own the strategy, architecture, implementation, and commercialization of EB2B's enterprise data platform. This is a hands-on technical leadership position. The ideal candidate is equally comfortable designing a multi-year data architecture roadmap and presenting it to executive leadership, building pipelines and data models, and standing up governance frameworks. As the platform matures and the team grows, this role's mandate will expand to encompass broader strategic and commercial leadership. This role comes with a defined implementation roadmap and clear first-year priorities that will be shared with candidates during the interview process. This leader will partner closely with Digital, Product, Technology, Audience Development, Finance, Sales, Editorial, and commercial teams to transform EB2B's audience data into a strategic business asset.

Requirements

10+ years of progressive experience in data engineering, data architecture, analytics, or enterprise data strategy, including at least five years leading complex enterprise data initiatives from strategy through execution.
Proven, hands-on experience implementing and managing enterprise cloud data platforms, including platforms such as Snowflake, with deep expertise in data modeling, ELT/ETL design, and pipeline development.
Experience building and scaling enterprise data warehouses and audience intelligence platforms.
Strong understanding of data governance, master data management, data-access controls, and retention standards.
Experience working with privacy and compliance frameworks including GDPR, CCPA, and CPRA, including familiarity with consent and preference management practices and demonstrated ability to partner with Legal, Privacy, and Information Security teams on responsible data practices.
Experience working with CRM, marketing automation, audience, advertising, and analytics data.
Strong project management and organizational skills, with the ability to operate independently and drive initiatives to completion.
Demonstrated ability to communicate complex technical strategy clearly to executive and non-technical stakeholders.
Cloud data platforms and modern data warehousing architectures (e.g., Snowflake)
SQL and modern data engineering practices
Data integration and pipeline technologies
Data governance and master data management
Business intelligence and reporting platforms
Audience data, customer data platforms (CDPs), and marketing technologies
Privacy-safe data collaboration and audience activation frameworks

Nice To Haves

Familiarity with AI-enabled data platforms and cloud ecosystems, including modern AI capabilities and LLM integrations.
Exposure to agent-based applications and generative AI use cases within enterprise data environments.
Experience supporting or developing commercial data products, including data marketplace listings or external data-sharing programs.

Responsibilities

Lead the implementation and optimization of EB2B's centralized cloud data platform, driving the consolidation and modernization of our enterprise data assets.
Design and build modern data architecture, data models, and data standards that scale across EB2B's multi-brand, multi-market environment.
Design and maintain ELT/ETL pipelines, data ingestion frameworks, orchestration, and data quality processes.
Establish DataOps practices, monitoring, observability, documentation, and engineering standards.
Evaluate and implement technologies that support data scalability, automation, and operational efficiency.
Define and execute EB2B's enterprise data strategy and roadmap.
Develop a scalable data foundation that supports analytics, audience intelligence, personalization, reporting, and AI initiatives.
Create a roadmap for integrating audience, behavioral, registration, engagement, campaign, CRM, and revenue data into a unified ecosystem.
Establish governance frameworks, data-access controls, retention standards, and documentation processes that improve data quality, trust, privacy compliance, and adoption across the organization.
Partner with Legal, Privacy, and Information Security teams to ensure responsible data practices and compliance with applicable privacy requirements including GDPR, CCPA, and CPRA.
Build audience intelligence capabilities that support lead generation, ABM, intent data, segmentation, personalization, and audience activation.
Develop strategies to transform first-party audience data into new commercial products and services.
Partner with commercial leadership to identify and execute new revenue opportunities through privacy-safe data collaboration and commercial data product development.
Build scalable reporting, benchmarking, and intelligence products for internal and external stakeholders.
Support the development of data products that enable privacy-safe audience activation, including consent and preference management frameworks.
Prepare EB2B's data ecosystem to support AI, machine learning, predictive analytics, and agent-based applications.
Ensure enterprise data is structured, governed, and accessible for current and future AI initiatives.
Partner with Product and Technology teams to support AI-powered audience intelligence, content, and sales enablement solutions.
Identify opportunities for automation and advanced analytics across the organization.
Lead cross-functional data initiatives in phases, partnering with Technology, Product, Sales, Marketing, Finance, Editorial, Audience Development, and Operations.
Build and manage relationships with strategic technology partners and vendors.
Develop project plans, timelines, resource requirements, and success metrics.
Communicate complex technical concepts clearly to executive and non-technical stakeholders.
Serve as an internal evangelist for data-driven decision making and best practices.