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Strong PwC brand and popular Data Engineer title increase competition despite seniority and niche Databricks/Kafka skills.
Core data engineering skills transfer, but managed-services and client leadership increase domain specificity.
Explicit 10-year minimum, required managed-services experience and Databricks/Kafka skills enforce strict filters.
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Manage and lead projects focused on building modern data ecosystems and converting insights into strategic opportunities.
Lead teams and client accounts, ensuring project success through strategic planning, mentoring junior staff, and maintaining high standards.
Develop and implement impactful data strategies while fostering a collaborative, high-performance team environment.
Bachelor's Degree required.
Minimum 10 years of experience in data and analytics management, including at least 8 years leading large data and analytics programs and 3 years managing Managed Data and Analytics programs (Managed services and Managed assets).
Experience with managing large-scale data and analytics projects and programs.
Travel requirements up to 60%.
Experienced leader in data and analytics with a strong background in managing large transformation initiatives and programs.
Familiarity with PMP certification or accredited scrum master, ITIL processes, cloud-scale development, and risk and issue management in data and analytics.
Capable of strategic planning, mentoring teams, and identifying new growth opportunities within data and analytics domains.