Starz is looking to elevate its Data Products & Engineering organization, driving innovation and shaping the company’s data strategy to unlock business value, enhance customer experiences, and power data-driven decision-making across the enterprise.
Requirements
- Cloud Technologies: AWS
- Data Warehousing: ETL/ELT
- Data Architectures: Data Lakes
- Database Systems: SQL Server, Oracle, MySQL, Snowflake or Redshift (Aurora, DynamoDB, PostgreSQL, Redis)
- Orchestration: SSIS, Matillion, Informatica, AWS Glue (or equivalents)
- Data Modeling: Relational and Star schemas understanding
- Languages: C-Sharp, Python, JSON, XML, YAML, Typescript, Linux shell scripting
Responsibilities
- Data Architecture – Assess current Starz Data Architecture vs Business Requirements and identify gaps and key areas to improve, consolidate, and simplify in current environment
- Data Platform & Analytics – Develop and maintain key data repositories and feeds to provide the required data to support Starz Business Intelligence & Analysis capabilities. Streamline process of getting the data to the right place at the right time
- Partnering with the Digital Platforms team to enhance the data collection and analytics strategy to meet the needs of the Starz business for operational and marketing data.
- Collaborating with internal marketing teams to provide the necessary data capabilities to support consumer-marketing efforts
- AI/ML Initiatives - Build scalable AI/ML-powered platforms, evaluate emerging AI technologies, frameworks, and tools, ensuring the company remains at the forefront of innovation.
- Oversee the architecture and scaling of data platforms, lakes, and pipelines that power real-time insights
- Drive best practices for data governance, quality, and security, ensuring trust and compliance across all business units.
Other
- 15+ years leading the development and delivery of digital software and data products. Ability to bridge between business strategy and technology capabilities
- BS degree (MS preferred)
- Experience in media driven businesses
- Exceptional leadership, cross-functional collaboration, and stakeholder management skills.
- Ability to translate complex technical issues for business and executive audiences
