The posting
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. Overview 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. Responsibilities Data Engineering Strategy & Architecture 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. Data Products & Platforms 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. Engineering Leadership 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. Data Governance, Quality & Security 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, metadata management, access controls, retention, and data lifecycle management. Ensure data platforms and products meet appropriate standards for reliability, availability, scalability, and security. Drive proactive identification and resolution of data quality, platform, and engineering risks. Business & Executive Partnership Serve as a senior strategic advisor on data engineering, technology, and data platform decisions. Partner with executive leadership to translate business objectives into scalable data and technology strategies. Collaborate with Data Science, Analytics, Business Intelligence, Media, Technology, and Product leaders to find opportunities for data-driven innovation. Communicate complex technical concepts and strategic recommendations to executive and non-technical audiences. Represent Data Engineering in senior leadership discussions, strategic planning, and technology investment decisions. Build strong relationships with internal stakeholders, technology partners, vendors, and client-facing teams. Innovation & Transformation Identify opportunities to improve how PHM collects, manages, integrates, and activates data. Lead modernization initiatives that improve engineering efficiency, data accessibility, and business value. Assess emerging data technologies, cloud capabilities, AI/ML applications, and industry trends to determine opportunities for PHM. Promote automation and reusable data engineering capabilities across the organization. Establish a culture of experimentation and continuous technological improvement. Qualifications Required 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. Deep understanding of data warehouse, data lake, ETL/ELT, data integration, and data modeling principles. 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. Demonstrated experience establishing enterprise data architecture, engineering standards, and technology roadmaps. 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. Experience partnering with senior executives and translating complex technical concepts into clear business recommendations. Exceptional written, verbal, presentation, and interpersonal communication skills. Demonstrated ability to lead through influence and operate effectively in a complex, highly collaborative environment. Technical Expertise Strong technical understanding and experience with several of the following: SQL / SQL Server Python, Java, C#, or similar programming languages ETL / ELT technologies Data warehouses and data lakes AWS, Azure, and/or Google Cloud Apache Spark and distributed data processing REST APIs and data integration JSON, XML, ORC, Avro, and Parquet BI and visualization platforms such as Tableau and Datorama Web analytics and digital marketing data Data modeling and enterprise data architecture Data quality, metadata, lineage, and governance technologies Modern data platform and data engineering architectures Leadership Characteristics The successful candidate will be: Strategic: Able to establish a long-term data engineering vision while connecting technology investments to measurable business outcomes. Technically credible: Able to engage deeply with engineers and architects while providing appropriate strategic direction. Business-minded: Understands how data, technology, media, analytics, and client needs intersect. Innovative: Constantly evaluates new technologies and approaches to improve PHM’s data capabilities. People-focused: Builds strong teams, develops talent, and creates an environment where technical professionals can do their best work. Collaborative: Works effectively across Technology, Data, Analytics, Media, and executive leadership. An effective communicator: Can translate complex technical concepts into clear recommendations for technical and non-technical stakeholders. Preferred Experience 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. Additional information Our Publicis Groupe motto “Viva La Différence” means we’re better together, and we believe that our differences make us stronger. It means we honor and celebrate all identities, across all facets of intersectionality, and it underpins all that we do as an organization. We are focused on fostering belonging and creating equitable & inclusive experiences for all talent. Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive. Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off. If you require accommodation or assistance with the application or onboarding process specifically, please contact [email protected]. All your information will be kept confidential according to EEO guidelines. #LI-CJ4 Compensation Range: USD $135,375.00 - USD $194,460.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 10/31/2026.
