Senior Director Data Platform & Strategy

Visa Hunt; United States; On-site; USD 128,000 - 173,000; Full time

Benefits offered by this job

Medical, dental & vision benefits

Telehealth services

401(k) with company match

Paid parental leave

12 paid holidays

Tuition assistance

Mentorship program

Core Value Rewards

Employee retail & travel discounts

Life and disability insurance

Job summary

EndeavorB2B is seeking a hands-on Data Platform Leader to own the strategy, architecture, implementation, and commercialization of our enterprise data platform. You will craft a multi-year roadmap, build scalable data models, and establish governance across a multi-brand ecosystem.

As a senior leader, you will partner with Digital, Product, Technology, Finance, Sales, Editorial, and operations to transform audience data into strategic business assets and new revenue opportunities.

Qualifications

• 10+ years in data engineering, data architecture, analytics, or enterprise data strategy.
• Hands-on experience building and managing enterprise cloud data platforms (Snowflake).
• Experience with data governance, ETL/ELT design, and data pipelines.

Responsibilities

• Lead build-out and modernization of a centralized cloud data platform.
• Define data strategy and governance, enabling analytics, audience intelligence, and AI initiatives.
• Partner with Legal, Privacy, and Security to ensure compliant data practices.
• Support AI-powered audience intelligence and data monetization strategies.
• Communicate complex technical concepts to executives and non-technical stakeholders.

Skills

Data architecture

Data engineering

Analytics

Project management

Executive communication

Tools

Snowflake

SQL

Job description

The Mission: EndeavorB2B is a rapidly growing US-based B2B media and events company founded in 2017. Endeavor’s mission is to deliver the highest-quality content in the B2B markets we serve and to do so in the various, multi-channel formats that today’s industry professionals demand. From informative e-newsletters to in-depth monthly magazines to curated in-person events, EndeavorB2B is committed to providing the best opportunities for professionals to stay knowledgeable and connect with marketplace colleagues that drive their industry forward.

The Team: EndeavorB2B places a high importance on its data-driven core values of accountability, continuous improvement and being passionate about value creation in an environment that maintains minimal politics, directional clarity, high productivity and low turnover among good people. These values are adopted at all levels of the company across every sphere and give the company its operational advantage. Our departments and operating businesses have autonomy and place a high value on meritocracy, with a commitment to providing individuals with opportunities for growth and development.

Job Summary: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 m u r t e r 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.

Key Responsibilities:

Data Platform Build-Out & Architecture

• 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.

Enterprise Data Strategy & Governance

• 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.

Audience Intelligence & Data Monetization

• 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.

AI & Advanced Analytics

• 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.

Execution & Stakeholder Management

• 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.

Qualifications:

• 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.

Technical Expertise

• 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

Preferred Qualifications

• 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.

We are excited to share the salary for this position is $150,000. If you are hired for this position at EndeavorB2B, your final base salary compensation will be determined based on factors such as hiring location, skillset, prior years’ experience, relevant education, certain degrees and certifications, training, and market considerations. In addition to those factors – we believe in the importance of pay equity and consider any internal equity of our current team members as a part of any final offer. We also offer a generous benefits package (more information on benefits listed below).We offer competitive benefits package including 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

EndeavorB2B is an equal opportunity employer. We are committed to providing equal employment opportunities in recruiting, hiring, training, promotions, compensation, and other aspects of employment for all qualified applicants and employees without regard to sex, race, color, religion, national origin, age, disability, sexual orientation, gender identity, genetic information or veteran status.