VP, Data

November 15

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Dynatron Software, Inc.

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Automotive • SaaS • Analytics

Dynatron Software, Inc. is a company that combines advanced analytics software with expert coaching to help automotive service departments maximize their revenue opportunities. Their product suite includes various solutions like PriceSmart for optimizing labor and part pricing, FileSmart for enhancing warranty labor rates and parts markup, SellSmart for increasing service sales to existing customers, and MarketSmart for boosting service department traffic through strategic marketing campaigns. With a focus on increasing profitability, Dynatron collaborates closely with dealerships to identify and capitalize on hidden revenue streams using their proprietary analytics and extensive repair order database.

51 - 200 employees

Founded 1999

☁️ SaaS

📋 Description

• Design and execute a data vision and strategy that positions Dynatron as a leader in data-driven decision-making and automotive intelligence. • Lead and scale a world-class organization spanning Data Engineering, Architecture, Analytics, and Data Science, ensuring excellence across platforms, pipelines, and products. • Architect for growth: Oversee the design and evolution of our data ecosystem, from data lakes and real-time streaming to machine learning and AI applications, ensuring scalability, reliability, and performance. • Advance innovation: Champion the integration of next-generation AI and ML technologies to unlock predictive, prescriptive, and generative insights that drive business outcomes. • Collaborate across functions: Partner with Product, Engineering, Operations, and Executive Leadership to ensure data strategy directly supports company objectives and product differentiation. • Drive governance and trust: Establish policies, controls, and frameworks for data quality, compliance, and security across all systems and sources. • Measure and optimize: Define and track KPIs for data reliability, accessibility, and business impact, using insights to guide strategic investment and improvement. • Inspire excellence: Build and nurture a high-performing, innovative team that thrives on collaboration, accountability, and continuous learning.

🎯 Requirements

• 15+ years of experience in data engineering, architecture, analytics, or data science, including at least 8 years in senior leadership roles. • Proven track record building and scaling enterprise-grade data platforms in B2B SaaS or high-growth technology environments. • Deep technical expertise in modern data stacks, including Airflow, dbt, Kafka, Fivetran, Snowflake, Databricks, and Redshift, with hands-on understanding of Python, SQL, and data modeling. • Demonstrated experience leading AI and machine learning initiatives, including integration of large language models and applied ML systems into production environments. • Strong command of data governance, observability, security, and privacy frameworks. • Strategic thinker who can balance innovation with execution, driving both vision and measurable results. • Exceptional communication and influence skills, with the ability to align executives, engineers, and stakeholders around a shared data vision. • Experience managing multimillion-dollar budgets and building scalable, distributed teams. • Bachelor’s degree in Computer Science, Data Engineering, or a related field; advanced degree preferred.

🏖️ Benefits

• Comprehensive health, vision, and dental insurance • Employer-paid short- and long-term disability and life insurance • 401(K) with competitive company match • Flexible vacation policy and 9 paid holidays • Remote-first culture with quarterly in-person planning sessions