Vice President, AI Outcomes Architecture

ThoughtSpot is a Data & AI platform that helps companies turn data into enterprise advantage. We're Gartner MQ leaders with more than 1,000 customers globally and offices in Mountain View, Chicago, London, Bangalore, Sydney, and Tokyo.

The Role:

The RVP, AI Outcomes Architecture builds and leads the technical and delivery engine of Customer Outcomes. You lead three organizations – the AI Outcomes Architects, who own the technical architecture; the AI Outcomes Analysts, who own the hands-on build; and the AI Deployment Managers, who own delivery and the timeline – so that every Liveboard, Spotter agent, and Data App we ship is production-grade and the value promised during the sale is actually achieved. You report directly to the VP of Customer Outcomes and work closely with the AI Outcomes Manager organization, which owns the customer relationship, and with ThoughtSpot's Product and Engineering leadership – you are the executive backstop for every deployment.

What You'll Do:

• Build and lead a global organization. Hire, develop, and manage the AI Outcomes Architect, AI Outcomes Analyst, and AI Deployment Manager teams across North America, EMEA, and our India hub, and build the regional leadership layer that runs them day to day.
• Lead the conversion. Move existing PS Solution Architects, Solution Analysts, and Engagement Managers into the new roles – defining the career paths, success metrics, and ways of working that make embedded ownership stick.
• Design the coverage model. Decide where named, in-region resources make sense for the largest accounts and where pooled coverage serves the rest. Own capacity planning, staffing, and utilization across the portfolio.
• Own the architecture standards. Set the data model conventions, governance framework, and reference architectures that every account's Liveboards, Spotter agents, and Data Apps are built on – so every deployment is secure, scalable, and consistent, not a one-off.
• Own delivery excellence. Set the outcome-based delivery methodology your AI Deployment Managers run on – scope, schedule, milestones, and documented results tied to measurable business value rather than hours delivered.
• Raise the bar on the build. Ensure your AI Outcomes Analysts ship production-ready work – semantic models, Spotter configurations, performance tuning, and migrations from legacy BI platforms like Tableau, Qlik, and Power BI.
• Be the executive escalation point. When a deployment hits a wall – complex data models, security design, performance at scale, or a delivery at risk – your team is the answer, and so are you when it matters.
• Lead strategy for the most complex accounts. Take executive point on enterprise-scale, multi-team, high-revenue engagements where architecture and delivery decisions carry the most risk.
• Own the portfolio view. Aggregate what's working and what's breaking across accounts, and translate it into product feedback and roadmap input for ThoughtSpot's Product and Engineering teams.
• Partner with AI Outcomes Managers on retention and growth. Your teams' delivery quality drives adoption, renewal, and expansion. Work hand in hand with the AI Outcomes Manager organization to protect GRR, grow NRR, and surface follow-on opportunities in every account.
• Make it scale. Turn bespoke architecture and delivery decisions into reusable patterns, playbooks, and AI-assisted workflows, so the practice gets faster and more consistent account to account.

What You Bring:

• A builder of delivery organizations. 12+ years in solution architecture, technical consulting, or professional services, including 5+ years leading multi-team technical delivery organizations – architecture, implementation, and delivery management – not just a single team or a book of accounts.
• Global by experience. You've led teams across regions, including a global delivery center, and know how to make named and pooled resources operate as one team.
• A services transformer. You've moved a services organization from time-and-materials or project-based delivery to outcome-based engagements, where success is tied to measurable business results – and brought the people with you.
• Technically credible. Deep command of BI tools like Tableau, Qlik, Power BI, Looker, Sigma; data platforms like Snowflake, Databricks, Redshift, Google BigQuery; and SQL, semantic modeling, and schema design (OLTP vs. OLAP, star/snowflake, etc.). You can credibly review an Architect's design and know what "production-ready at scale" actually looks like.
• A delivery operator. You run delivery with rigor – scope, capacity, utilization, and milestones – without losing sight of the business outcome behind the project.
• Executive presence. You can sit across from a customer's senior leaders, earn their trust, and know when to challenge their technical assumptions rather than build to spec.
• A force multiplier. You build leaders, not just teams – you hold a high bar, give your people real ownership, and hold them accountable to meet it.
• Comfortable owning outcomes. Adoption and GRR/NRR depend on your teams' delivery quality, not just your own – and you can operate at both altitudes: setting practice-wide standards and getting into a single customer's semantic model when it's on fire.
• A good internal partner. You've worked closely with Sales, Customer Success, Product Management, and Engineering, and you know how to bring the right people in at the right time.
• Bachelor's degree in a relevant field; advanced certifications in relevant technologies and platforms are a plus.

In-Office at ThoughtSpot

Spotters are expected in-office 3+ days per week to be part of the energy of their local team. Momentum compounds when we're in the room together with faster decisions, sharper problem-solving, and the kind of peer learning that doesn't happen over a screen. Being in-office is our default way of working, with flexibility available where it's genuinely needed.

About ThoughtSpot

The world’s most innovative companies turn to ThoughtSpot’s AI-Powered Analytics to put data in the hands of everyone, from the C-suite to the frontline. With simple, natural language search and AI, anyone can ask questions, discover insights, and act with confidence. Unlike legacy tools that sacrifice performance for complexity, ThoughtSpot is intuitively designed for every business user while being built to handle the most complex, large-scale data, wherever it resides. This unique combination of speed and simplicity is why enterprise leaders trust ThoughtSpot to transform decision-making into a truly data-driven culture.

At ThoughtSpot, we’re a curious, data-driven bunch. We believe the world works better when everyone has access to facts. That’s why we build products that make asking and answering data questions as natural as having a conversation.

Mandatory and Required Skills for All ThoughtSpot Roles

Spotters are expected to demonstrate AI literacy and workflow integration to include to ability to:

• Comfortably and confidently integrate artificial intelligence into their daily workflow to increase productivity and quality.
• Hands-on experience to leverage AI tools (industry-leading LLMs) to increase productivity, automate routine tasks, and improve work quality.
• Speak to the experience of using AI for research, content creation, and document summarization while maintaining ownership of judgment and final decisions.
• Write effective prompts to get the most accurate and creative results from AI tools.

Spotters are expected to exemplify these key traits and AI Mindset:

• Curiosity in exploring new AI tools
• Adaptability to quickly learn and implement new, emerging AI technologies
• Critical thinking to know when to identify when AI should be used versus when human judgement is necessary

This combination of curiosity, adaptability, and discernment defines the AI mindset, and it’s required for every role at ThoughtSpot.

AI Mindset for All Spotters

At ThoughtSpot, we believe AI is a necessary and essential part of how we work. Every role, across every team, is expected to be fluent and comfortable with using AI to do their best work.

All Spotters are expected to experiment with ThoughtSpot’s AI tools (like Spotter and SpotterViz) and leading industry LLMs to streamline workflows, enhance output, and uncover new insights. Whether drafting content, analyzing data, or summarizing documents, AI is a daily partner. We value curiosity, openness to learning, and thoughtful application of AI to create real value. Training and resources are provided so every Spotter can confidently create with AI.

ThoughtSpot for All

At ThoughtSpot, diverse teams build better products. Complex data problems need many perspectives, not just one. We welcome different backgrounds, identities, and experiences, and we work to create a place where everyone can be themselves and do their best work. If this role excites you and you believe you’re a strong match, we encourage you to apply.

What Makes ThoughtSpot a Great Place to Work?

ThoughtSpot is the Agentic Analytics Platform that empowers every enterprise to transform insights into action, on a mission to make the world more fact driven. We hire people with unique identities, backgrounds, and perspectives - this balance-for-the-better philosophy is key to our success. When paired with our culture of Trust, Customer Obsession, Innovation and Intensity, ThoughtSpot cultivates a respectful culture that pushes norms to create world-class products. If you’re excited by the opportunity to work with some of the brightest minds in the business and make your mark on a truly innovative company, we invite you to read more about our mission, and apply to the role that’s right for you.