VP, Databricks Practice Lead

Bounteous is a premier end-to-end digital transformation consultancy dedicated to partnering with ambitious brands to create digital solutions for today’s complex challenges and tomorrow’s opportunities. With uncompromising standards for technical and domain expertise, we deliver innovative and strategic solutions in Strategy, Analytics, Digital Engineering, Cloud, Data & AI, Experience Design, and Marketing.

Our Co-Innovation methodology is a unique engagement model designed to align interests and accelerate value creation. Our clients worldwide benefit from the skills and expertise of over 4,000+ expert team members across the Americas, APAC, and EMEA. By partnering with leading technology providers, we craft transformative digital experiences that enhance customer engagement and drive business success.

We are seeking a visionary Vice President, Databricks Practice Lead to establish, grow, and scale our Databricks practice. This leader will be responsible for developing the strategy, driving revenue growth, building strong client relationships, and developing high-performing teams that deliver world-class data and AI solutions leveraging the Databricks Lakehouse Platform.

The VP will serve as both a thought leader and a hands-on executive, bridging business strategy with technical delivery. They will engage with C-suite clients to define transformative roadmaps, partner with Databricks as a strategic partner, and ensure our clients realize measurable business value from their data and AI investments.

Information Security Responsibilities

• Promote and enforce awareness of key information security practices, including acceptable use of information assets, malware protection, and password security protocols
• Identify, assess, and report security risks, focusing on how these risks impact the confidentiality, integrity, and availability of information assets
• Understand and evaluate how data is stored, processed, or transmitted, ensuring compliance with data privacy and protection standards (GDPR, CCPA, etc.)
• Ensure data protection measures are integrated throughout the information lifecycle to safeguard sensitive information

Role and Responsibilities

• Define and execute the vision and go-to-market strategy for our developing Databricks practice
• Build and scale service offerings that integrate Databricks with broader data, AI, and cloud transformation initiatives
• Drive revenue growth through new client acquisition, expansion of existing accounts, and joint GTM with Databricks and cloud partners
• Serve as a trusted advisor to C-suite and senior client executives, shaping their data, analytics, and AI transformation journeys
• Oversee high-impact delivery engagements, ensuring business outcomes, scalability, and best-in-class execution
• Evangelize the Databricks Lakehouse Platform in client presentations, industry forums, and thought leadership initiatives
• Strengthen and expand our alliance with Databricks, cloud hyperscalers (AWS, Azure, GCP), and complementary technology partners
• Collaborate with sales, marketing, and alliance teams to develop joint campaigns, co-selling motions, and IP/accelerators
• Build and mentor a high-performing team of data engineers, ML engineers, architects, and consultants
• Foster a culture of innovation, continuous learning, and delivery excellence
• Develop career pathways and certification programs to deepen organizational expertise in Databricks and modern data stack tools

Preferred Qualifications

• 15+ years of experience in data, analytics, and digital transformation for a systems integrator, technology provider, or digital consultancy
• 5+ years of experience in leadership roles
• Deep expertise in Databricks and cloud-native data platforms
• Databricks certification(s)
• Proven track record of building and scaling practices, including GTM and team growth
• Proven success delivering solutions in collaboration with global teams
• Outstanding presence, presentation, and negotiation skills; the ability to inspire, engage, partner with, and influence executive-level leadership
• Experience leading large-scale data modernization, AI/ML, or digital transformation initiatives
• Excellent organizational skills and a methodical approach to tasks
• Bachelor's degree and/or equivalent experience preferred