Vice President, Data Enablement
About the role
The VP, Data Engineering is a senior technology and data leader responsible for defining and advancing PHM’s enterprise data engineering strategy, architecture, and capabilities.
Responsibilities
Define and implement the enterprise data engineering strategy and multi-year technology roadmap in alignment with PHM’s business and data strategy.
Establish scalable architecture for data warehouses, data lakes, data platforms, and data products supporting enterprise and client-facing needs.
Lead the evolution of cloud-based data infrastructure and engineering capabilities across AWS, Azure, Google Cloud, and related technologies.
Drive the modernization and optimization of existing data platforms, processes, and technology investments.
Evaluate emerging technologies and find opportunities to leverage automation, AI, machine learning, and other innovations to improve data engineering capabilities.
Oversee the development of high-performance data products and platforms supporting analytics, business intelligence, media performance, measurement, and activation.
Ensure data products are designed for scalability, reliability, accessibility, and performance.
Partner with analytics and BI leadership to ensure data engineering capabilities effectively support enterprise reporting and decision-making.
Build, lead, and develop an impactful data engineering organization with deep technical and business acumen.
Partner with executive leadership to translate business objectives into scalable data and technology strategies.
Identify opportunities to improve how PHM collects, manages, integrates, and activates data.
Assess emerging data technologies, cloud capabilities, AI/ML applications, and industry trends to determine opportunities for PHM.
Qualifications
Bachelor’s degree in Computer Science, Information Technology, Engineering, Data Science, or a related field preferred.
12+ years of progressive experience in data engineering, data architecture, software engineering, or related technical disciplines.
5+ years of experience leading and developing data engineering teams at the Director level or above.
Demonstrated experience designing and implementing large-scale enterprise data platforms and data products.
Strong experience with cloud-based data technologies, preferably AWS, Azure, and/or Google Cloud.
Experience working with large, complex datasets and high-volume data environments.
Experience integrating structured and unstructured data, APIs, real-time data, and batch data environments.
Strong understanding of data governance, data quality, security, privacy, and data lifecycle management.
Exceptional written, verbal, presentation, and interpersonal communication skills.
Experience within media, advertising, healthcare, health media, digital marketing, or another data-intensive industry.
Experience working with media performance, measurement, audience, web analytics, or digital marketing data.
Experience leading enterprise-scale data modernization or cloud transformation initiatives.
Experience developing data products that support business intelligence, analytics, measurement, or media activation.
Experience working in a highly matrixed organization with multiple business units, clients, and technology stakeholders.