Senior Vice President, Data Strategy – Analytics

Jobtailor; California (MO); On-site; USD 180,000 - 260,000; Full time

Job summary

Learfield seeks a senior data leader to define and drive the data strategy across the organization, partnering with the Chief Data & Technology Officer. You will lead a diverse team of product managers, data engineers, and BI analysts to build scalable data products and an enterprise data platform.

You will advance audience segmentation, personalization, and analytics that quantify fan engagement and revenue. This role combines leadership with hands-on data product development.

Qualifications

• 15+ years of experience in data, analytics, or data engineering.
• Experience building and leading multidisciplinary teams.
• Hands-on experience with Snowflake or Databricks.
• Experience applying AI-native approaches.
• Strong grounding in data governance, privacy, and security.

Responsibilities

• Define and execute data strategy with the Chief Data & Technology Officer.
• Lead, develop and evolve a team of 15+ across product managers, data engineers, and BI analysts.
• Own and evolve Learfield's enterprise data platform.
• Drive a product-led approach to data by developing scalable products.
• Advance audience segmentation and personalization capabilities.
• Deliver analytics and BI that quantify fan engagement and revenue generation.

Skills

Data Strategy

Team Leadership

Cloud Data Platforms

Personalization Techniques

Analytics

Tools

Snowflake

Databricks

Job description

• Partner with the Chief Data & Technology Officer to define and execute data strategy
• Lead, develop and evolve a team of 15+ across product managers, data engineers, and BI analysts
• Own and evolve Learfield's enterprise data platform
• Drive a product-led approach to data by developing scalable products
• Advance audience segmentation and personalization capabilities
• Deliver analytics and BI that quantify fan engagement and revenue generation

Requirements

• 15+ years of experience in data, analytics, or data engineering
• Demonstrated experience building and leading multidisciplinary teams
• Hands‑on experience with leading cloud data providers such as Snowflake or Databricks
• Experience applying LLMs and other AI‑native approaches
• Demonstrated success using data to power personalization
• Strong grounding in data governance, privacy, and security

Core Competencies

Expertise in defining and executing data strategies, leading multidisciplinary teams, and advancing data governance and security. Proficient in leveraging cloud data platforms and AI‑native approaches to enhance audience engagement and personalization.

Highest‑signal resume keywords

• Data Strategy Development
• Team Leadership
• Cloud Data Platforms
• Personalization Techniques
• Data Governance

ATS Optimization Keywords

Hard Skills

• Data Engineering
• Analytics
• Product Management
• Audience Segmentation
• Business Intelligence

Soft Skills

• Leadership
• Collaboration
• Communication

Industry Keywords

• Data Governance
• Privacy
• Security
• AI‑Native Approaches

Tools & Technologies

• Snowflake
• Databricks