Senior Director, Decision Intelligence & Data Products

Caliber; Lewisville (TX); On-site; USD 180,000 - 240,000; Full time

Job summary

Caliber is seeking an experienced Data Platform & Tools Leader to design, operate, and optimize its enterprise data and analytics ecosystem. This role partners across operations, finance, HR, supply chain, and customer experience to deliver a unified data foundation enabling self-service analytics and AI initiatives.

Reporting to the VP, Data, Analytics & AI, you will lead strategy, architecture, and governance, while building a high-performing team of platform engineers and DataOps

Qualifications

• Bachelor’s degree in computer science, data engineering, information systems, or related field.
• Minimum 10 years in data engineering, cloud data platforms, or analytics infrastructure leadership.
• At least 3 years in a lead or architect role.
• Experience with cloud data platforms and supporting tooling.
• Knowledge of privacy frameworks and governance integration into design.

Responsibilities

• Lead the design, build, and operation of the enterprise data platform across cloud data warehousing, lakes, and orchestration.
• Own analytics tools (Snowflake, Azure, Databricks, Power BI) for reliability and cost efficiency.
• Drive modernization to a cloud-native, governed, AI-ready data environment.
• Implement CI/CD, data observability, version control, and automated testing.
• Collaborate with governance, cybersecurity, IT, and business teams.
• Monitor performance and optimize compute storage balance.
• Prepare platform capabilities for enterprise AI adoption and APIs.
• Establish standards and runbooks for scalability.
• Mentor a team of platform engineers and DataOps professionals.

Skills

Data platform expertise

Cloud & Infra knowledge

DataOps & Automation

BI & Analytics

Security & Compliance

Communication

Analytical mindset

Continuous improvement

Education

Bachelor’s degree in CS/Data Eng/IS

Master’s degree preferred

Tools

Snowflake

Synapse

Databricks

Redshift

BigQuery

dbt

Airflow

Fivetran

Job description

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 (e.g., Snowflake, Synapse, Databricks, Redshift, or BigQuery) and supporting tools (e.g., dbt, Airflow, Fivetran).

Cloud & Infrastructure Knowledge

Strong understanding of cloud architecture (Azure or AWS), networking, compute optimization, and cost management.

DataOps & Automation

Hands-on experience implementing CI/CD, observability, and infrastructure-as-code practices (Terraform, GitHub Actions, or Azure DevOps).

BI & Analytics Tools

Familiarity with Power BI, Tableau, or similar tools, including security, performance tuning, and semantic model management.

Security & Compliance

Knowledge of data privacy frameworks (GDPR, CCPA, SOX) and integration of governance policies into platform design.

Data Architecture & Modeling: Experience designing conceptual, logical, and physical models; strong SQL and schema design skills.

Analytical & Technical Acumen

Ability to translate business requirements into scalable technical solutions that enable insight generation and AI readiness.

Communication & Collaboration

Strong interpersonal and communication skills to work effectively with IT, business leaders, and cross-functional teams.

Continuous Improvement Mindset

Proven ability to modernize processes, automate workflows, and improve data platform performance and trust.

Education, Experience, and Other Requirements

Education: Bachelor’s degree in computer science, data engineering, information systems, or a related field; a master’s degree is a plus.

Experience: Minimum of 10 years of experience in data engineering, cloud data platform administration, or analytics infrastructure leadership, including 3+ years in a lead or architect-level role.

Certifications ( preferred – one or more relevant certifications)

• SnowPro Core / Advanced Architect
• Microsoft Azure Data Engineer / Solutions Architect
• AWS Certified Data Analytics or equivalent
• dbt Fundamentals or Practitioner certification
• ITIL, CISSP, or other governance/security certifications are a plus

Caliber uses E-Verify to confirm the identity and employment eligibility of all new hires.

Must be eligible to work in the U.S. with no restrictions.