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Vice President Data Aggregation Jobs (NOW HIRING)

Updater

VP, Data

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 ...

BNY Mellon

Vice President, Data Privacy

Pittsburgh, PA · On-site

Vice President, Data Privacy At BNY, our culture allows us to run our company better and enables employees' growth and success. As a leading global financial services company at the heart of the ...

Updater

VP, Data

New York, NY

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 ...

BNY

Vice President, Data Privacy

Pittsburgh, PA · Hybrid

Vice President, Data Privacy At BNY, our culture allows us to run our company better and enables employees' growth and success. As a leading global financial services company at the heart of the ...

Accordion USA

Vice President, Data Platform

Chicago, IL · On-site +1

$112K - $200K/yr

Vice President, Data Platform Chicago; Dallas; New York; San Francisco Company Overview We are the better way to work in finance. As private equity's value creation partner, we sit at the heart of PE ...

Coterie Applications, Inc.

VP, Data Science

The VP, Data Science will lead Coterie's data science and research functions within the broader Data and Analytics (DnA) organization. Furthermore, the VP, Data Science will develop and mentor a team ...

LendingClub Bank

VP, Data Platforms

San Francisco, CA · On-site

About the Role The VP, Data Platforms is responsible for the data platform, infrastructure, governance, and engineering services that power every business at LendingClub-from Marketing, Personal ...

Magellan Health, Inc.

VP, Data and Analytics

Frisco, TX · On-site

$159K - $287K/yr

The VP, Data and Analytics is accountable for the full lifecycle of Magellan Health's enterprise data and analytics capability - from foundational data engineering and governance through advanced ...

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Vice President Data Aggregation information

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$43.5K

$157.5K

$277.5K

How much do vice president data aggregation jobs pay per year?

As of Jun 21, 2026, the average yearly pay for vice president data aggregation in the United States is $157,532.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,000.00 and $190,000.00 per year, depending on experience, location, and employer.

What does a VP of data analytics do?

A Vice President of Data Analytics oversees the development and implementation of data strategies to support business goals. They lead teams in analyzing large datasets, utilizing tools like SQL and data visualization software, and ensure data-driven decision-making across the organization.

Is SVP a high-level position?

A Vice President Data Aggregation is a high-level executive role responsible for overseeing data collection, integration, and analysis strategies within an organization. It typically reports to senior leadership and requires extensive experience in data management, leadership skills, and strategic planning.

What is the difference between Vice President Data Aggregation vs Data Analyst?

AspectVice President Data AggregationData Analyst
CredentialsBachelor's/Master's in Data Science, Business, or related fields; extensive experienceBachelor's in Data Science, Statistics, or related fields; entry to mid-level experience
Work EnvironmentExecutive leadership, strategic planning, cross-department collaborationData collection, analysis, reporting, and visualization tasks
Industry UsageUsed in corporate, finance, and tech sectors for high-level data strategyCommon across industries for operational insights and reporting

The Vice President Data Aggregation focuses on strategic oversight and leadership in data collection and integration at an executive level, while Data Analysts handle data analysis, reporting, and supporting decision-making at operational levels. Both roles require strong analytical skills, but differ significantly in scope, responsibilities, and experience requirements.

How much does a vice president of data analytics make?

A Vice President of Data Analytics typically earns between $150,000 and $250,000 annually, with total compensation often including bonuses and stock options. Salaries vary based on industry, company size, location, and experience, and the role requires strong leadership and data management skills.

What is the highest paid VP position?

The highest paid Vice President roles are often in industries like technology, finance, and pharmaceuticals, with executive-level positions such as VP of Sales, VP of Engineering, or VP of Corporate Development earning annual salaries exceeding $200,000, plus bonuses and stock options. Compensation varies based on company size, location, and experience, with some VPs earning total compensation well into the millions at large corporations.
What cities are hiring for Vice President Data Aggregation jobs? Cities with the most Vice President Data Aggregation job openings:
What are the most commonly searched types of Data Aggregation jobs? The most popular types of Data Aggregation jobs are:
What states have the most Vice President Data Aggregation jobs? States with the most job openings for Vice President Data Aggregation jobs include:
What job categories do people searching Vice President Data Aggregation jobs look for? The top searched job categories for Vice President Data Aggregation jobs are:
Vice President Data Aggregation jobs near you
Infographic showing various Vice President Data Aggregation job openings in the United States as of June 2026, with employment types broken down into 1% Locum Tenens, 63% Full Time, 5% Temporary, and 31% Contract. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $157,532 per year, or $75.7 per hour.
VP, Data

VP, Data

Updater

Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 days ago

Job description

View All Jobs
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.
  • 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.

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

Compensation
This posting is anticipated to remain open until 6/15/2026. The new hire salary range for this position is $275,000 - $310,000 annually. Factors which may affect the starting pay within this range include skills, experience, and other qualifications aligned with Updater's internal leveling guidelines.
About Updater
Updater is a leading technology platform helping major brands acquire and retain customers at scale. We are on a mission to power millions of complex transactions through intelligent, autonomous systems. By combining deep integrations, real-world data, and purpose-built AI agents, we're transforming fragmented purchasing workflows into seamless, automated experiences - freeing businesses and consumers from operational friction and enabling a new standard of speed, accuracy, and scale.
Updater has raised over $450 million from leading investors, including SoftBank Capital, Vista Credit Partners, IA Ventures, Commerce Ventures, Second Century Ventures (the strategic investment arm of the National Association of Realtors®), and more. For more information, please visit www.updater.com.
Updater is proud to be an equal opportunity employer and will consider all qualified applicants regardless of color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital or family status, disability, gender identity or expression, veteran status, actual or presumed belonging to an ethnic group, or any other legally protected status. If you have a disability or special need that requires accommodation, please let us know.
Benefits: The Company offers the following benefits for this full-time position, subject to applicable eligibility requirements:
  • 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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