VP Sales – Data Management, Data Analytics

This is a fully remote position, open to applicants in United States.

📋 Description

• Cultivate and enhance pipeline with alliance partners.

• Expand go-to-market strategies across industry and alliance teams.

• Assess and progress consulting opportunities as part of a larger GTM team.

• Manage a systematic sales pipeline, overseeing lead management, qualification, and established sales methodologies.

• Identify and coordinate Data Management resources to pursue, secure, and oversee opportunities.

• Create organized and distinct go-to-market initiatives.

• Develop materials for initial meetings and discussions.

• Lead preparations for formal sales meetings and presentations on qualified opportunities.

• Shape pursuit strategies by establishing win themes, aligning messaging with client priorities, guiding proposal and presentation materials, and presenting during oral sessions as needed.

• Assist pre-sales with product expertise, customized demonstrations, and industry knowledge.

• Contribute to the development and positioning of Data Management market offerings.

• Support leadership in formulating account and GTM strategies.

• Engage in industry leadership calls and in-person meetings.

• Operate independently as well as collaboratively within a team.

• Communicate effectively with senior client stakeholders.

• Establish professional relationships across clients, partners, and internal teams.

• Lead projects and workstreams from inception to completion.

• Balance competing demands and adhere to deadlines.

• Mentor others and offer clear guidance.

⛳️ Requirements

• Over 10 years of experience selling data and AI services or offerings based on at least one major public cloud or data platform.

• Proven track record of managing complex clients with lengthy sales cycles and substantial transaction values.

• Experience with data platforms, ETL processes, and data visualization tools.

• Working knowledge of cloud solution architecture, including scalable, available, and fault-tolerant designs.

• Experience integrating across public, private, and hybrid cloud applications and environments.

• Experience in selling Generative AI services and familiarity with Amazon Bedrock, Azure OpenAI, AI Foundry, Google Vertex AI, and Databricks Mosaic AI.

• Understanding of RAG, fine-tuning, multi-agent workflows, model orchestration, unstructured data readiness, and data governance.

• Foundation in traditional machine learning and MLOps, including SageMaker, Azure ML, Vertex AI, and Databricks ML.

• Capability to construct business cases for Data and AI investments for both business and technical stakeholders.

• Familiarity with migrating complex, multi-tier solutions to cloud platforms.

• Knowledge of modern delivery methodologies and frameworks.

• Willingness to travel up to 50% on average.

• Must be legally authorized to work in the United States without employer sponsorship, now or in the future.

• Preferred: experience in Manufacturing, Retail, eCommerce, big tech, energy/utilities, or infrastructure.

• Preferred: experience in positioning data monetization or externally facing data products.

• Preferred: familiarity with data mesh and data product operating models.

• Preferred: experience in selling generative AI or agentic AI engagements that progressed to production.

• Preferred: familiarity with AI governance and responsible AI requirements.

• Preferred: partner sales certifications or accreditations from a hyperscale or data platform vendor.

🏝️ Benefits

• Total compensation includes base salary, sales rewards & commission plan, and RSUs.

• Fully remote work arrangement.

• Travel required up to 50% on average (up to 70% as indicated in the location section).

• Compensation may exceed the posted range for higher-cost areas such as California, New York, and New Jersey.