Job Description

Job Title: AVP – Data & Cloud Transformation

Location: Santa Clara, California (Hybrid)

Employment Type: Full-Time | Experience: 13–19 Years

Bonus: Up to 30%

Job Description:

We are seeking a strategic and technically adept AVP – Data & Cloud Transformation to lead and drive data modernization and cloud transformation initiatives for enterprise customers. This senior role combines technical depth, strategic thinking, and leadership to influence client decision-making, guide cloud and data strategies, and spearhead execution.

Key Responsibilities:

Strategic Vision & Client Engagement

• Lead the development and execution of data and cloud transformation strategies.
• Engage directly with CXOs, Directors, and senior decision-makers to identify data challenges and map transformation roadmaps.
• Deliver business cases and detailed strategies outlining measurable value, timelines, and technical approaches.

Pre-Sales Leadership

• Conduct workshops, solution presentations, and client discussions.
• Support the sales team in generating leads, responding to RFPs, and developing proposals.
• Build and tailor proposals using cross-functional teams including architects, engineers, and scientists.

Technical Expertise

• Provide thought leadership on data engineering, data lakes, cloud migration, and cloud-native technologies.
• Hands-on support with cloud platforms including AWS, Azure, and GCP.
• Stay updated with technology trends and contribute to content creation such as whitepapers and pitch decks.

Internal Collaboration

• Collaborate across departments to align delivery expectations and client needs.
• Mentor junior staff and facilitate internal knowledge-sharing.
• Recommend improvements to processes and tools related to cloud and data services.

Customer Relationship Management

• Build long-term relationships with key stakeholders.
• Identify upselling opportunities aligned with evolving customer needs.
• Serve as the technical escalation point during and after project execution.

Metrics & Reporting

• Define KPIs for transformation success.
• Provide regular progress reports to clients and internal stakeholders.

Required Qualifications:

• Minimum 8+ years in Data Engineering (Databricks, Snowflake, Python, SQL).
• Proven success in cloud transformation (AWS & Azure), modernization, and solution architecture.
• Strong pre-sales experience and customer engagement history.
• Hands-on technical leadership experience with the ability to engage both strategically and tactically.
• Excellent communication skills and ability to interact with senior client stakeholders.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related fields.

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