Dynatron Software, Inc.
Dealership Fixed-Ops profit maximizing solutions that integrate Technology, Data Analysis, and Coaching Expertise
VP, Data
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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