Senior Director, Data Platform – Strategy

This is a fully remote position, open to applicants in United States.

📋 Description

• Take ownership of the strategy, architecture, implementation, and commercialization of EndeavorB2B’s enterprise data platform.

• Spearhead the implementation and optimization of the centralized cloud data platform.

• Streamline and modernize enterprise data assets across a diverse multi-brand and multi-market setting.

• Design and construct scalable data architecture, data models, and data standards.

• Create and manage ELT/ETL pipelines, data ingestion frameworks, orchestration, and data quality processes.

• Establish DataOps practices, including monitoring, observability, documentation, and engineering standards.

• Assess and implement technologies that enhance data scalability, automation, and operational efficiency.

• Define and execute the enterprise data strategy and roadmap.

• Build a data foundation that supports analytics, audience intelligence, personalization, reporting, and AI initiatives.

• Integrate audience, behavioral, registration, engagement, campaign, CRM, and revenue data into a cohesive ecosystem.

• Set up governance frameworks, data-access controls, retention standards, and documentation processes.

• Collaborate with Legal, Privacy, and Information Security to ensure privacy compliance and responsible data practices.

• Develop audience intelligence capabilities for lead generation, ABM, intent data, segmentation, personalization, and audience activation.

• Convert first-party audience data into commercial products and services.

• Identify and capitalize on revenue opportunities through privacy-safe data collaboration and commercial data products.

• Create reporting, benchmarking, and intelligence products for both internal and external stakeholders.

• Facilitate privacy-safe audience activation, including frameworks for consent and preference management.

• Prepare the data ecosystem for AI, machine learning, predictive analytics, and agent-based applications.

• Collaborate with Product and Technology on AI-driven audience intelligence, content, and sales enablement solutions.

• Recognize opportunities for automation and advanced analytics.

• Lead cross-functional data initiatives with Technology, Product, Sales, Marketing, Finance, Editorial, Audience Development, and Operations.

• Manage relationships with strategic technology partners and vendors.

• Develop project plans, timelines, resource requirements, and success metrics.

• Convey technical concepts to both executive and non-technical stakeholders.

• Act as an internal advocate for data-driven decision-making and best practices.

⛳️ Requirements

• Over 10 years of progressive experience in data engineering, data architecture, analytics, or enterprise data strategy.

• At least five years of experience leading complex enterprise data initiatives from strategy to execution.

• Hands-on experience with implementing and managing enterprise cloud data platforms, such as Snowflake.

• Extensive expertise in data modeling, ELT/ETL design, and pipeline development.

• Proven experience in building and scaling enterprise data warehouses and audience intelligence platforms.

• Strong grasp of data governance, master data management, data-access controls, and retention standards.

• Familiarity with GDPR, CCPA, and CPRA, including consent and preference management practices.

• Ability to collaborate with Legal, Privacy, and Information Security teams on responsible data practices.

• Experience with CRM, marketing automation, audience, advertising, and analytics data.

• Exceptional project management and organizational skills.

• Capability to work independently and drive initiatives to completion.

• Proficiency in communicating complex technical strategies clearly to executive and non-technical stakeholders.

• Knowledge of cloud data platforms and modern data warehousing architectures, particularly Snowflake.

• Proficient in SQL and contemporary data engineering practices.

• Familiarity with data integration and pipeline technologies.

• Understanding of data governance and master data management.

• Experience with business intelligence and reporting platforms.

• Knowledge of audience data, customer data platforms (CDPs), and marketing technologies.

• Insight into privacy-safe data collaboration and audience activation frameworks.

• Preferred: Familiarity with AI-enabled data platforms and cloud ecosystems, as well as modern AI capabilities and LLM integrations.

• Preferred: Exposure to agent-based applications and generative AI use cases in enterprise data environments.

• Preferred: Experience in supporting or developing commercial data products, including data marketplace listings or external data-sharing programs.

🏝️ Benefits

• Medical, dental, and vision coverage.

• 24/7 access to Telehealth services.

• FSA and HSA pretax savings accounts.

• Company-paid life and disability insurance.

• 401(k) plan with company match.

• Paid parental leave.

• A generous flexible time off (FTO) policy.

• 12 paid holidays.

• Tuition assistance.

• Opportunities for professional growth through continuing education.

• Mentorship program.

• Company Core Value Rewards.

• Employee discounts on retail and travel.