Senior Director, Data Platform & Engineering

Service Center

CSCS TX

Position Summary 

 
We are seeking an experienced and innovative Data Platform & Tools Leader to design, operate, and optimize Caliber’s enterprise data and analytics ecosystem. This is an outstanding opportunity to join a fast-moving, innovative team that enjoys strong partnerships across the business—our technology is in high demand, and business stakeholders are eager to leverage our solutions for strategic impact. We’re looking for a true go-getter who not only understands the business value of data but also knows how to create and deliver the platforms that unlock its full potential. 

This role will lead the strategy, architecture, and management of the company’s data platform—ensuring that data is reliable, scalable, secure, and AI-ready to power business insights and transformation across all business functions, including operations, finance, HR, supply chain, and customer experience. Reporting to the Vice President, Data, Analytics & AI, the Data Platform & Tools Leader will collaborate closely with data engineering, analytics, governance, IT, and business teams to deliver a unified and modern data foundation that enables self-service analytics and enterprise AI initiatives. 

Roles and Responsibilities 

Platform Strategy & Operations: Lead the design, build, and operation of the enterprise data platform, including cloud data warehouse, data lake, integration, and orchestration layers. 

Tool Ownership: Administer and optimize analytics and data tools (e.g., Snowflake, Azure, Databricks, Power BI, dbt) for usability, performance, reliability, cost efficiency, and scalability. 

Data Architecture & Modernization: Drive modernization of legacy systems into a cloud-native, governed, and high-performance environment that supports AI and analytics at scale. 

DataOps & Automation: Implement CI/CD pipelines, data observability, version control, and automated testing to ensure reliable, repeatable, and auditable data delivery. 

Security & Compliance: Partner with Data Governance, Cybersecurity, and IT GRC to ensure access control, data encryption, privacy, and compliance with internal and external regulations. 

Cross-Functional Collaboration: Work with Analytics CoE, Data Governance, and AI CoE to ensure seamless integration between data pipelines, models, and business-facing insights. 

Performance Optimization: Monitor and tune system performance to balance compute and storage efficiency while maintaining data freshness and reliability. 

Innovation Enablement: Prepare platform capabilities for enterprise AI adoption, including support for APIs, vector stores, and LLM data integrations. 

Documentation & Standards: Establish platform standards, data pipeline documentation, and operational runbooks for consistency and scalability. 

Mentorship & Team Leadership: Build and develop a high-performing team of platform engineers, administrators, and DataOps professionals focused on operational excellence and innovation. 

Knowledge, Skills, and Abilities 

Data Platform Expertise: Deep experience with cloud data platforms