Data Platform Delivery Manager

We are seeking a Senior Data Platform Delivery Manager to spearhead the implementation of our next-generation enterprise data ecosystem. You will serve as the strategic bridge between business stakeholders and technical engineering teams, ensuring that our data platform strategy-spanning cloud warehousing, governance, and quality management-is delivered on time, within budget, and to the highest architectural standards. This is a high-visibility, “hands-on leadership” role. You will own the full project lifecycle, from program planning and resource allocation to the operational rollout of complex data pipelines. If you are an expert at navigating the intersection of Agile/Waterfall delivery and modern data engineering, this is an excellent opportunity to shape the data foundation of a large-scale enterprise.

Key Responsibilities Program Leadership & Delivery Project Lifecycle: Manage complex technology projects from inception through production. Lead cross-functional teams in the delivery of cloud-native data platforms, ensuring tight integration between data engineering, governance, and business intelligence. Governance & Strategy: Define and enforce data governance frameworks, including Metadata Management, Lineage, and Data Quality standards. Ensure all solutions adhere to compliance and privacy requirements. Planning & Governance: Oversee budget, resource management, and risk/dependency mapping. Utilize Agile/Scrum or Waterfall frameworks to manage delivery velocity and project health.

Technical Architectural Oversight Platform Development: Oversee the design and implementation of modern Data Warehouse/Lakehouse architectures. Ensure best practices in ETL/ELT development, data modeling, and pipeline orchestration. Quality & Integration: Partner with technical teams to deploy Master Data Management (MDM) solutions that drive data consistency and reliability across the enterprise. AI/ML Enablement: Collaborate with data scientists and engineers to ensure the platform is architected for future-ready AI/ML use cases.

Education: Bachelor’s degree in CS, Information Systems, Engineering, or Data Science (Master’s preferred). Experience Baseline: 8+ years managing complex data-driven projects; 5+ years leading enterprise data platform implementations. Technical Mastery: Proven success delivering projects involving Snowflake and large-scale cloud data ecosystems. Process Mastery: Deep experience with Data Engineering (ETL/ELT), Master Data Management (MDM), and Data Quality Management.

Preferred Attributes Certifications: PMP, PgMP, Scrum Master, or SAFe Agilist. Industry Experience: Proven success in large-scale regulated industries (Financial Services, Healthcare, Energy, etc.). Operations: Strong familiarity with DataOps/DevOps practices and their application to data platform management.

For temporary assignments lasting 13 weeks or longer, AllSTEM Connections is pleased to offer major medical, dental, vision, 401k and any statutory sick pay where required.

We are committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for any part of the employment process, please contact your staffing representative who will reach out to our HR team.

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We also consider for employment qualified applicants regardless of criminal histories, consistent with legal requirements, including, if applicable, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. Pursuant to applicable state and municipal Fair Chance Laws and Ordinances, we will consider for employment-qualified applicants with arrest and conviction records, including, if applicable, the San Francisco Fair Chance Ordinance. For Los Angeles, CA applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.