Vice President, Data Enablement

Company description

PHM is the leading health media agency in the US, built for the modern healthcare experience. Here, industry depth meets media scale, where data becomes direction, where creativity and storytelling bring truth to life, and where orchestration replaces fragmentation.

Dedicated to making brands discovered, PHM redefines what media can do through data, content, and creativity. Because in modern healthcare, the brands that are found are the ones that lead. And when brands lead, advantage follows. Go deeper. Be found.

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. This leader will oversee the design, development, and evolution of scalable data platforms and products that enable advanced analytics, business intelligence, media activation, measurement, and data-driven decision-making across the organization.

Working at the intersection of technology, data, media, and business strategy, the VP will establish a forward-looking data engineering vision while ensuring that data platforms are scalable, secure, reliable, performant, and aligned to the evolving needs of PHM and its clients.

This role will lead and develop a high-performing data engineering organization, establish engineering standards and guidelines, and partner closely with senior business, technology, analytics, and client teams to translate complex data challenges into scalable solutions.

• 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.

• Establish architectural standards for data integration, data modeling, ETL/ELT, APIs, real-time data, batch processing, and data delivery.

• 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.

• Establish standards for data modeling, metadata management, data quality, lineage, security, and governance.

• Guide the integration of structured and unstructured data from internal, external, digital, media, and client data sources.

• Ensure data platforms can support real-time, on-demand, batch, and varying data delivery requirements.

• 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.

• Establish engineering best practices, development standards, documentation practices, and quality controls.

• Provide technical leadership and mentorship to Directors, engineering managers, and senior technical talent.

• Define organizational capabilities, team structures, and talent strategies needed to support PHM’s evolving data ecosystem.

• Foster a culture of innovation, accountability, continuous improvement, and technical excellence.

• Establish and monitor engineering performance metrics, service levels, and operational standards.

• Partner with data governance, information security, legal, privacy, and technology teams to establish appropriate standards for data management and usage.

• Champion enterprise-wide data quality, governance, security, privacy, and compliance practices.

• Establish processes for data lineage,…