Senior Value Advisor (Data Management)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Value Advisor (Data Management): Developing success plans and multi-year roadmaps for prospects and clients with an accent on business case development and current-state diagnostics. Focus on guiding senior stakeholders through strategic and operational issues to justify technology investments.
Location: 100% remote anywhere in the US (up to 40% travel required)
Company
A leader in data integrity empowering businesses through a unique combination of software, data enrichment products, and strategic services.
What you will do
- Lead account planning sessions, discovery workshops, and interviews to identify growth opportunities and maturity gaps.
- Create high-quality deliverables, including Point of View documents, multi-year roadmaps, and full business cases to justify action.
- Manage and influence high-level client relationships, including C-level, VP, and Director stakeholders.
- Contribute to the evolution of the Value Engineering practice by refining methodology, content, and tools.
- Develop vertical-specific sales plays and build the VEBA brand through thought leadership and content creation.
- Enable Sales Engineering and Professional Services teams to create simple business cases in self-service mode.
Requirements
- 10+ years of professional experience in data management, management consulting, or value engineering.
- Proven experience in software sales and/or consulting environments.
- Proficiency in generative AI tools (e.g., Microsoft Copilot, ChatGPT) to accelerate research and content creation.
- Strong storytelling, visual communication, and financial acumen applied to business problem-solving.
- Bachelor's degree required; MBA from an accredited university is highly preferred.
- Ability to travel approximately 40% for on-site client engagement and trade shows.
Culture & Benefits
- "Work from anywhere" culture with a distributed environment across 30 countries.
- AI-first organization that expects employees to use AI tools to improve output quality and eliminate low-value tasks.
- Commitment to career development, growth, and building a professional community.
- Company culture based on Openness, Determination, Individuality, and Collaboration.
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