Senior Director, Decision Intelligence & Data Products

Posted 3 Days Ago
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Lewisville, TX, USA
In-Office
Senior level
Automotive • Manufacturing
The Role
Leads the strategy, architecture, operation, and modernization of the enterprise data platform. Oversees cloud warehouses, data lakes, integrations, orchestration, DataOps automation, governance, security, performance, and AI-readiness. Owns analytics tooling, establishes standards and documentation, partners with engineering, governance, IT, and business teams, and builds a high-performing platform engineering organization. The role requires translating business needs into scalable data solutions and leading enterprise analytics and AI enablement.
Summary Generated by Built In

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. 

Skills Required

  • Bachelor's degree in computer science, data engineering, information systems, or a related field
  • Minimum 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
  • Experience with supporting data tools such as dbt, Airflow, or Fivetran
  • Strong understanding of Azure or AWS cloud architecture, networking, compute optimization, and cost management
  • Hands-on experience implementing CI/CD, observability, and infrastructure-as-code practices
  • Experience with Terraform, GitHub Actions, or Azure DevOps
  • Familiarity with Power BI, Tableau, or similar BI tools, including security, performance tuning, and semantic model management
  • Knowledge of data privacy frameworks including GDPR, CCPA, and SOX
  • Experience designing conceptual, logical, and physical data models
  • Strong SQL and schema design skills
  • Strong communication and cross-functional collaboration skills
  • Must be eligible to work in the United States with no restrictions
  • Master's degree in a relevant field
  • SnowPro Core or Advanced Architect certification
  • Microsoft Azure Data Engineer or Solutions Architect certification
  • AWS Certified Data Analytics certification or equivalent
  • dbt Fundamentals or Practitioner certification
  • ITIL, CISSP, or other governance/security certification

Caliber Collision Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Caliber Collision and has not been reviewed or approved by Caliber Collision.

  • Healthcare Strength — Day-one eligibility for medical, dental, and vision is broadly highlighted, alongside company-paid life, AD&D, and disability insurance. Supplemental options such as FSA and accident/critical-illness coverage expand the offering.
  • Retirement Support — A 401(k) with company match is a consistent feature, with some materials noting automatic enrollment. This provides structured support for long-term savings from the start.
  • Leave & Time Off Breadth — Paid holidays and PTO are offered from day one or begin accruing immediately for full-time teammates. Immediate access to time off is presented as part of the standard package.

Caliber Collision Insights

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The Company
HQ: Lewisville, TX
7,217 Employees
Year Founded: 1997

What We Do

As one of the nation's largest auto collision repair providers, Caliber offers unlimited opportunities to drive your career forward. Surrounded by a purpose-driven, team-centric culture, you are empowered to create the roadmap for your future. With more than 1,800 centers nationwide across 41 states, Caliber features a wide range of automotive services including collision, auto glass and fleet solutions. We are known for providing an outstanding customer experience and regularly rank among the highest customer satisfaction scores in the industry. Our commitment to caring for people extends to our Caliber teammates and their careers. When you join Caliber, you're not just an employee but part of a dedicated team. You'll receive mentoring from some of the brightest minds in the industry, as well as industry-leading pay and a comprehensive day-one benefits program. At Caliber, we care about your well-being. We're proud to have been the only auto repair company on Forbes' list of "America's Best Large Employers"-an honor awarded to companies with high employee satisfaction. We're also proud to have been recognized by Inc. as a Best in Business Extra Large Company (500+ employees), receiving a gold medal for our efforts in going above and beyond to make a positive impact. Caliber is an equal-opportunity employer. We are committed to fostering an inclusive and diverse workplace

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