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Vp Data & Analytics Jobs (NOW HIRING)

Updater

VP, Data

... analysis through reliable pipelines and tooling that support both real-time visibility and deep ... prior VP / Head of Data Engineering scope (or equivalent) • Proven ownership of data systems ...

Impact Advisors

Vice President, Data & AI

$215K - $330K/yr

The new VP will harness the firm's existing data and analytics capabilities to extend services to a larger client base and more diverse market segments. This individual will enhance and help drive ...

Surescripts

VP Data Solutions

Arlington, VA · On-site

The VP Data Solutions drives cross-functional alignment and ensures the portfolio delivers ... Own the full lifecycle of data and analytics products - including ideation and market validation ...

Surescripts

VP Data Solutions

Charleston, WV · On-site

The VP Data Solutions drives cross-functional alignment and ensures the portfolio delivers ... Own the full lifecycle of data and analytics products - including ideation and market validation ...

Flexential Corp.

OR

The Vice President, Data Center Operations will play a central role in ensuring that facilities ... analytics, and process improvement to ensure clean handoffs, strong readiness, and effective ...

PlayAGS, Inc.

VP of Data & Analytics

Las Vegas, NV · On-site

$260 - $320/hr

The VP of Data & Analytics is the senior leader responsible for AGS's entire data strategy, data platform, and analytical capabilities. This role is responsible for end-to-end data ownership across ...

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Centerline

Vice President Data Center

Richmond, VA · On-site +1

The Vice President(VP), - Data Center Services(DCS) will play a key leadership role in ensuring the successful sourcing and delivery of complex infrastructure projects within the data center ...

Chubb

SVP, PRS - Data Science

Boston, MA · On-site

Responsibilities: As part of the North America Data & Analytics leadership team you will be ... A. and to the EVP, PRS Finance Product and Analytics Officer. As the SVP Data Scientist for ...

Chubb

SVP, PRS - Data Science

Boston, MA · On-site

$249K - $333K/yr

Responsibilities: As part of the North America Data & Analytics leadership team you will be ... A. and to the EVP, PRS Finance Product and Analytics Officer. As the SVP Data Scientist for ...

TradeStation

VP, Enterprise Data & Analytics

What We Are Looking For : We're seeking a hands-on VP, Enterprise Data amp; Analytics to own and lead TradeStation's data science, analytics, and data product functions end to end -- and to make data ...

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Vp Data Analytics information

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How much do vp data & analytics jobs pay per year?

As of Aug 8, 2026, the average yearly pay for vp data & analytics in the United States is $81,518.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $96,500.00 per year, depending on experience, location, and employer.

What are the main challenges faced by a VP Data & Analytics, and how are they addressed?

A VP Data & Analytics often faces challenges such as aligning data initiatives with overall business strategy, ensuring data quality and governance across diverse sources, and bridging the gap between technical teams and executive leadership. Addressing these challenges typically involves establishing robust data governance frameworks, promoting a data-driven culture, and continuously updating analytics strategies to reflect changing business needs. Collaboration with stakeholders from IT, operations, finance, and marketing is essential to gather requirements and ensure analytics efforts are driving measurable outcomes. By proactively managing these obstacles, a VP Data & Analytics helps unlock the full value of organizational data and supports sustainable business growth.

What are the key skills and qualifications needed to thrive as a VP Data & Analytics?

To thrive as a VP Data & Analytics, you need deep expertise in data strategy, analytics methodologies, data management, and a relevant advanced degree, often combined with significant leadership experience. Familiarity with data warehousing, visualization tools (such as Tableau or Power BI), programming languages (like Python, R, or SQL), and certifications in data management or analytics (e.g., Certified Analytics Professional, CDMP) are highly valued. Exceptional communication, business acumen, and the ability to lead cross-functional teams are crucial soft skills for this position. These competencies are vital to drive data-driven decision-making, shape business strategy, and foster a culture of analytics maturity within the organization.

What is a VP Data & Analytics?

A VP of Data & Analytics is a senior executive responsible for overseeing an organization's data strategy, analytics initiatives, and data-driven decision-making. They lead data teams, implement data governance, and ensure the organization leverages data effectively to drive business growth. Their role typically involves collaborating with other executives, managing data infrastructure, and identifying opportunities for innovation through analytics.

What does a VP Data & Analytics do?

A VP of Data & Analytics oversees an organization’s data strategy, ensuring data collection, management, and analysis support business goals. They lead teams of data scientists and analysts, develop data-driven insights, and implement tools like data warehouses and analytics platforms. This role requires strong leadership, strategic thinking, and expertise in data management and analytics tools.
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What cities are hiring for Vp Data & Analytics jobs? Cities with the most Vp Data & Analytics job openings:
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Vp Data Analytics jobs near you
Infographic showing various Vp Data & Analytics job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $81,518 per year, or $39.2 per hour.

VP, Data

Updater

Remote

Full-time

Re-posted 14 days ago

Job description

Job Summary:
Updater is a leading technology platform focused on enhancing customer acquisition and retention through intelligent systems. They are seeking a VP of Data to elevate data-driven decision-making across the company, architecting systems that transform fragmented signals into reliable intelligence while managing a high-performing data engineering team.
Responsibilities:
• 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.
• 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.
• 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.
• 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.
• 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.
Qualifications:
Required:
• 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
Preferred:
• Experience in affiliate marketing, marketplaces, fintech, adtech, or other revenue-complex environments strongly preferred
Company:
Embedded commerce for essential home services. Founded in 2011, the company is headquartered in New York, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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