Consumer Data Strategy

About the Role:

This role sits on the Consumer Data Strategy (CDS) team and partners closely with Brand, Media, Consumer & Market Insights (CMI), Digital & Technology (D&T), and external agency teams to unlock the value of data across the full marketing ecosystem at HUSA. The individual will support the Director of CDS by translating data into scalable systems, actionable insights, and measurable business outcomes.

The role blends data strategy, measurement strategy, data operations, data science, and consumer experience design. It is ideal for someone who understands how data impacts & fuels marketing effectiveness and can operate comfortably across strategy definition, technical execution, and stakeholder collaboration.

Key Responsibilities:

• Data Strategy
  • Assist in defining how marketing data should be collected, structured, stored, and automated across the marketing organization.
  • Partner with internal teams to develop required data pipelines that support marketing activation & measurement use cases.
  • Identify opportunities to streamline and automate manual data processes across marketing.
• Measurement Strategy & Commercial Effectiveness
  • Support paid media measurement tools & initiatives, including commercial effectiveness modeling, closed-loop attribution, and performance reporting.
  • Help expand measurement capabilities across additional channels over time.
  • Develop measurement frameworks for paid media and embed them within core processes and with various internal & external stakeholders.
  • Run custom analyses to answer key business questions around incrementality, audience performance, creative effectiveness, and optimization opportunities.
  • Translate complex analyses into clear insights and recommendations for leadership teams and non-technical stakeholders.
• Data Science & Analytics
  • Execute large-scale data queries and user-level analyses across media, identity, and behavioral datasets.
  • Design, build, and maintain custom analytical pipelines to support audience strategy, media optimization, and performance learning.
  • Partner with internal and external data science resources as needed to scale analytical work.
• Data Governance
  • Define, develop, & maintain consistent data governance standards including taxonomies, naming conventions, ingestion logic, and processing rules, across marketing datasets.
  • Identify and resolve data quality issues within database systems, including duplication, abnormalities, or missing data.
  • Support development of documentation & playbooks to improve data reliability and usability.
• Media Agency Data Connection
  • Operate as one of the primary points of contact on all data asset exchanges between media agencies and HUSA D&T.
  • Establish and enforce data governance standards across all data shared with media agency partners, including taxonomy, naming conventions, and data handling protocols.
  • Monitor and audit data quality, usage, and compliance across agency platforms to ensure adherence to HUSA data privacy and governance policies.
  • Maintain documentation and oversight of data flows between HUSA, agencies, and platform partners, ensuring transparency, accuracy, and regulatory compliance.

Basic Qualifications/Requirements:

• Bachelor’s degree in mathematics, economics, business analytics, information systems, or similar, quantitative field.
• + 5 years of experience in data strategy, marketing analytics, media measurement, marketing science, or a related field.
• Strong project management & collaboration skills.
• Proven leadership and experience working in cross-functional environments.
• Strong experience working with large datasets, including user-level or event-level data.
• Experience with Data Visualization Tools (Tableau, PowerBI, etc.).
• Advanced SQL skills; experience with Python, R, Databricks a plus.
• Multiple years of hands-on experience with paid media data (Meta, Google, programmatic, etc.).
• Familiarity with market mix modeling (MMM) & marketing attribution concepts.
• Ability to translate complex data into clear, actionable business insights.
• Experience supporting taxonomy development and developing data governance standards