Vice President, Data Enablement

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 PHMs 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 PHMs 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 PHMs 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 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.

• 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.

• 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.

• Bachelors 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.

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

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 PHMs 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.

• 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.

Our Publicis Groupe motto Viva La Différence means were 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

All your information will be kept confidential according to EEO guidelines. #LI-CJ4