Senior Director, Data Platform – Strategy

Job not on LinkedIn

🔥 16 hours ago

🇺🇸 United States – Remote

💵 $150k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 0%

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Endeavor Media

WebsiteLinkedInAll Job Openings

2 - 10 employees

Founded 2005

📱 Media

Media

Endeavor Media is a domain currently displaying a default Plesk hosting placeholder page and does not have a public website or published content to describe. The live page indicates the site owner has not set up a site or content yet; therefore no specific products, services, or business details can be confirmed from the available webpage. The company name suggests a focus in media, but that cannot be verified from the current site content.

📋 Description

• Own the strategy, architecture, implementation, and commercialization of EndeavorB2B’s enterprise data platform • Lead implementation and optimization of the centralized cloud data platform • Consolidate and modernize enterprise data assets across a multi-brand, multi-market environment • Design and build scalable data architecture, data models, and data standards • 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 supporting data scalability, automation, and operational efficiency • Define and execute the enterprise data strategy and roadmap • Develop a data foundation supporting analytics, audience intelligence, personalization, reporting, and AI initiatives • Integrate audience, behavioral, registration, engagement, campaign, CRM, and revenue data into a unified ecosystem • Establish governance frameworks, data-access controls, retention standards, and documentation processes • Partner with Legal, Privacy, and Information Security on privacy compliance and responsible data practices • Build audience intelligence capabilities for lead generation, ABM, intent data, segmentation, personalization, and audience activation • Transform first-party audience data into commercial products and services • Identify and execute revenue opportunities through privacy-safe data collaboration and commercial data products • Build reporting, benchmarking, and intelligence products for internal and external stakeholders • Support privacy-safe audience activation, including consent and preference management frameworks • Prepare the data ecosystem for AI, machine learning, predictive analytics, and agent-based applications • Partner with Product and Technology on AI-powered audience intelligence, content, and sales enablement solutions • Identify opportunities for automation and advanced analytics • Lead cross-functional data initiatives with Technology, Product, Sales, Marketing, Finance, Editorial, Audience Development, and Operations • Manage strategic technology partner and vendor relationships • Develop project plans, timelines, resource requirements, and success metrics • Communicate technical concepts to executive and non-technical stakeholders • Serve as an internal evangelist for data-driven decision-making and best practices

🎯 Requirements

• 10+ years of progressive experience in data engineering, data architecture, analytics, or enterprise data strategy • At least five years leading complex enterprise data initiatives from strategy through execution • Hands-on experience implementing and managing enterprise cloud data platforms, including platforms such as Snowflake • 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 with GDPR, CCPA, and CPRA, including consent and preference management practices • Ability to partner with Legal, Privacy, and Information Security teams on responsible data practices • Experience with CRM, marketing automation, audience, advertising, and analytics data • Strong project management and organizational skills • Ability to operate independently and drive initiatives to completion • Ability to communicate complex technical strategy clearly to executive and non-technical stakeholders • Cloud data platforms and modern data warehousing architectures, such as 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 • Preferred: Familiarity with AI-enabled data platforms and cloud ecosystems, modern AI capabilities, and LLM integrations • Preferred: Exposure to agent-based applications and generative AI use cases within enterprise data environments • Preferred: Experience supporting or developing commercial data products, including data marketplace listings or external data-sharing programs

🏖️ Benefits

• Medical, dental, and vision • 24/7 access to Telehealth services • FSA and HSA pretax savings accounts • Company paid life and disability insurance • 401(k) with company match • Paid parental leave • A generous FTO policy • 12 paid holidays • Tuition assistance • Professional growth opportunities through continuing education • Mentorship program • Company Core Value Rewards • Employee Retail & Travel discounts