Dynatron Software, Inc.

Dealership Fixed-Ops profit maximizing solutions that integrate Technology, Data Analysis, and Coaching Expertise

VP, Data

Vice PresidentVice PresidentFull TimeRemoteTeam 51-200Since 1999H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

120 days ago

Salary

$230K - $260K / year

Bachelor Degree15 yrs expEnglishAirflowAmazon RedshiftKafkaPythonSQL

Job 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.

Job 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

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