Senior Director, Decision Intelligence & Data Products

Caliber Holdings • Lewisville, TX

3d

About The Position

Caliber is seeking an experienced data platform leader to design, operate, and optimize its enterprise data and analytics ecosystem. The role leads the strategy, architecture, and management of the company’s data platform, ensuring that data is reliable, scalable, secure, and AI-ready to support insights and transformation across operations, finance, HR, supply chain, and customer experience.

Reporting to the Vice President, Data, Analytics & AI, the leader collaborates with data engineering, analytics, governance, IT, and business teams to deliver a unified, modern data foundation for self-service analytics and enterprise AI initiatives. The position also builds and develops a high-performing team of platform engineers, administrators, and DataOps professionals.

Requirements

• Bachelor’s degree in computer science, data engineering, information systems, or a related field.
• At least 10 years of experience in data engineering, cloud data platform administration, or analytics infrastructure leadership.
• At least 3 years in a lead- or architect-level role.
• Deep experience with cloud data platforms such as Snowflake, Synapse, Databricks, Redshift, or BigQuery and supporting tools such as dbt, Airflow, or Fivetran.
• Strong understanding of cloud architecture (Azure or AWS), networking, compute optimization, and cost management.
• Hands-on experience implementing CI/CD, observability, and infrastructure-as-code practices such as Terraform, GitHub Actions, or Azure DevOps.
• Familiarity with Power BI, Tableau, or similar tools, including security, performance tuning, and semantic model management.
• Knowledge of data privacy frameworks such as GDPR, CCPA, and SOX, and integrating governance policies into platform design.
• Experience designing conceptual, logical, and physical data models; strong SQL and schema design skills.
• Ability to translate business requirements into scalable technical solutions that enable insight generation and AI readiness.
• Strong interpersonal and communication skills for working with IT, business leaders, and cross-functional teams.
• Proven ability to modernize processes, automate workflows, and improve data platform performance and trust.
• Must be eligible to work in the U.S. with no restrictions.

Nice To Haves

• Master’s degree.
• One or more relevant certifications preferred: SnowPro Core or Advanced Architect; Microsoft Azure Data Engineer or Solutions Architect; AWS Certified Data Analytics or equivalent; dbt Fundamentals or Practitioner; ITIL, CISSP, or other governance/security certifications.

Responsibilities

• Lead the design, development, and operation of the enterprise data platform, including cloud data warehouse, data lake, integration, and orchestration layers.
• Administer and optimize analytics and data tools for usability, performance, reliability, cost efficiency, and scalability.
• Modernize legacy systems into a cloud-native, governed, high-performance environment supporting AI and analytics at scale.
• Implement CI/CD pipelines, data observability, version control, and automated testing for reliable, repeatable, and auditable data delivery.
• Partner with Data Governance, Cybersecurity, and IT GRC to ensure access control, encryption, privacy, and regulatory compliance.
• Collaborate with Analytics CoE, Data Governance, and AI CoE to integrate data pipelines, models, and business-facing insights.
• Monitor and tune system performance to balance compute and storage efficiency while maintaining data freshness and reliability.
• Prepare platform capabilities for enterprise AI adoption, including support for APIs, vector stores, and LLM data integrations.
• Establish platform standards, data pipeline documentation, and operational runbooks.
• Build and develop a high-performing team of platform engineers, administrators, and DataOps professionals.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior