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VP, Data
Location
United States
Posted
124 days ago
Salary
$275K - $310K / year
Seniority
Lead
Job Description
VP, Data
Updater
• 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. • Revenue & Risk Intelligence - Build data systems that accurately models affiliate revenue-share agreements, confirmations, cancellations, and adjustments. Enable early detection of fraud and performance anomalies before they materially impact margin. Partner with Finance and cross-functional leaders to establish canonical revenue metrics and shared KPI definitions. • Time-to-Insight - Reduce the latency between business events and actionable insight. Enable faster experimentation, channel optimization, and partner performance analysis through reliable pipelines and tooling that support both real-time visibility and deep historical analysis. • Leadership & Team Management - Build and scale a high-performing data engineering organization grounded in technical excellence, data quality, and operational rigor. Foster a collaborative, high-ownership culture that empowers teams to do their best work, operate effectively in ambiguity, and deliver durable systems that accelerate business impact. • Cross-Functional Influence - Translate business ambiguity into technical clarity — and technical complexity into business understanding. Clearly articulate data definitions, tradeoffs, and system constraints. Serve as a trusted partner to Product, Engineering, Finance, and Executive Leadership in driving high-impact decisions.
Job Requirements
- 10+ years of experience in data engineering or data platform leadership, including prior VP / Head of Data Engineering scope (or equivalent)
- Proven ownership of data systems directly tied to revenue, billing, or financial outcomes
- Deep expertise in modern data architectures (batch + streaming, warehouses, orchestration, modeling)
- Comfortable doing vendor evaluations, build vs buy decisions, and success implementing infrastructure projects.
- Strong command of data quality, lineage, observability, and governance — with pragmatic execution
- Experience stewarding data lifecycle with ML models, both traditional supervised learning as well as LLM-based models
- Experience designing systems that accommodate ambiguity, delayed signals, and evolving business rules
- Ability to drive clarity and alignment where metrics are contested and incentives may compete
- Strong understanding of attribution, leading vs. lagging indicators, and decision-enabling data principles
- Clear judgment that timely, decision-enabling truth is more valuable than theoretical perfection
- Experience in affiliate marketing, marketplaces, fintech, adtech, or other revenue-complex environments strongly preferred.
Benefits
- Medical, Dental, and Vision Insurance
- Flexible PTO
- 13 paid company holidays annually
- Updater Stock Options
- 401(k) with employer match
- Wellbeing Subsidy
- One Medical membership
- Virtual on-demand healthcare through Teladoc and Talkspace
- Flexible spending account (FSA)
- Health savings account (HSA)
- Supplemental Short & Long Term Disability Insurance
- Supplemental Life Insurance
- Paid Parental Leave
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