VP, Data - Updater

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Updater operates at the intersection of affiliate marketing, embedded commerce, and consumer marketplaces where we create (and lose) revenue through complex, multi-party data flows. In this environment, data isn’t a support function—data runs the business.

We’re seeking a VP of Data to materially elevate how we make data-driven decisions across the company. Reporting to the SVP of Engineering, this leader will architect the systems, standards, and team that transform fragmented signals into trusted, decision-enabling intelligence.

This business-critical leadership role will directly impact growth, margin, risk mitigation, and executive velocity. You will build the canonical data engine powering a complex B2B2C marketplace—increasing trust, speed, and profitability through better systems and sharper insight.

We’re also aggressively leaning into machine learning and AI. We’ve been developing LLM-based agentic models to help consumers purchase complex products with confidence. In addition the engineering and data teams have been utilizing Claude Code, Codex, and other LLM-based tools to increase insights and productivity. We believe strongly in being a thought leader in this space.

If you’re motivated by meaningful ownership and the chance to turn complexity into competitive advantage, this role offers a rare opportunity to do exactly that.

What Success Looks Like

• Stakeholders trust the numbers—even when they’re uncomfortable
• Revenue questions that once took weeks now take hours or minutes
• Leading indicators surface risk before it hits the P&L
• KPIs are clearly defined, role-aware, and consistently interpreted
• Data enables faster, smarter decision-making across the company
• External data anomalies get identified immediately, rather than weeks later
• Clearly defined schema, data usage rules, and organizational understanding both in a financial and product landscape.
• Data can be consumed by humans and AI models with the correct semantic boundaries.

Key Responsibilities

• Data Strategy & Architecture - Own the long-term data strategy in partnership with Engineering, Finance, Product, and Executive Leadership. Define and evolve the end-to-end data architecture across acquisition, transactions, fulfillment, revenue recognition, and lifecycle events. Design scalable, auditable systems that accurately model complex, multi-role KPIs while balancing speed, accuracy, and cost.
• Current stack includes Snowflake, Looker, Python, Postgres, and SQL Server.