Overview
Remote
$200,000 - $240,000
Full Time
Skills
Amazon Kinesis
Amazon Web Services
Apache Kafka
Business Development
Cloud Computing
Collaboration
Continuous Improvement
Customer Engagement
Customer Facing
Customer Relationship Management (CRM)
Databricks
Good Clinical Practice
Google Cloud Platform
Data Governance
Sales Management
Snow Flake Schema
Sales
Microsoft Azure
KPI
Data Migration
Data Engineering
Management
google cloud
fabric
Job Details
Job Title: Associate Vice President (AVP) Data & Cloud Transformation
About the Role:
We are looking for an experienced and technically strong Associate Vice President to lead data and cloud transformation initiatives. The ideal candidate will have extensive hands-on experience in data engineering, cloud platforms, and large-scale data migrations, with a proven track record in pre-sales leadership and client engagement.
Key Responsibilities:
- Lead the development and execution of data and cloud transformation strategies aligned with business goals.
- Engage with senior customer leaders (CXOs, Directors, VPs) to understand their data challenges and objectives.
- Provide expert technical guidance on cloud platforms (AWS, Azure, Google Cloud Platform), data engineering, and modern data architectures.
- Drive pre-sales activities, including proposal development, RFP responses, client presentations, and business development.
- Collaborate with cross-functional teams to design and deliver tailored solutions.
- Mentor junior team members and contribute to continuous improvement of processes.
- Manage customer relationships and identify upsell/cross-sell opportunities.
- Track and report on KPIs to ensure successful delivery of transformation projects.
Required Skills and Qualifications:
- 18+ years of experience in data engineering, cloud transformation, or related fields.
- Strong hands-on expertise with technologies such as Databricks, Snowflake, Kafka/Kinesis, AWS Glue, Azure Data Factory.
- Solid understanding of Data Governance frameworks (CCPA, GRPC) and DataOps practices.
- Experience with data architectures including Fabric, Mesh, Lakehouse, and cloud data platforms.
- Proven ability to communicate complex technical concepts to senior executives effectively.
- Demonstrated success in pre-sales, business development, and client-facing roles.
- Bachelor s or Master s degree in Computer Science, Engineering, Business, or related discipline.
- Relevant certifications in cloud platforms (AWS, Azure, Google Cloud Platform) or data engineering/architecture.
- Hands on coding experience
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.