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Vice President Of Data Strategy Jobs (NOW HIRING)

Kaizen Analytix LLC

VP of Data Science

Atlanta, GA · On-site

Original Post Date: 4/3/2026 VP of Data Science Kaizen Analytix LLC, an analytics products and ... Solving business problems through excellent decision-making and innovative, strategic ideas

Equation Staffing

VP of Data Science

Manhattan, NY · On-site

VP Data Science As the VP of Data Science, you'll play a critical role in building a data-driven culture and driving strategic initiatives. You'll leverage a rich data-set built on a mature data ...

Invitation Homes Inc.

VP, Enterprise Data

Dallas, TX · On-site

$177.82 - $308.23/hr

We are seeking a Vice President of Enterprise Data to lead and unify our Enterprise Data organization. This executive will oversee Product Strategy, Product Management and Product Ownership ...

Pacific Rim Capital

VP of Sales

Irvine, CA · On-site

$575K - $800K/yr

As Vice President of Sales (VP) at Pacific Rim Capital (PRC), you will lead PRC's enterprise sales ... strategy from day one. You build leaders -- not just individual contributors. You manage by data ...

Pacific Rim Capital

VP of Sales

Irvine, CA · On-site

$215K/yr

As Vice President of Sales (VP) at Pacific Rim Capital (PRC), you will lead PRC's enterprise sales ... strategy from day one. You build leaders - not just individual contributors. You manage by data and ...

PHIflow, LLC

VP of Marketing

New York, NY

Vice President of Marketing About PHIflow PHIflow is a data and technology company combining ... This individual will be our strategic leader for all marketing and advertising efforts as well as ...

Pacific Rim Capital

VP of Sales

Irvine, CA · On-site

As Vice President of Sales (VP) at Pacific Rim Capital (PRC), you will lead PRCs enterprise sales ... strategy from day one. You build leaders not just individual contributors. You manage by data and ...

ShortList Recruitment Limited

Demonstrable, hands\-on experience of at least one strategic transaction, including sell\-side ... Experienced in leading the financial workstream of a formal M&A process, including data room, due ...

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Vice President Of Data Strategy information

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$43.5K

$157.5K

$277.5K

How much do vice president of data strategy jobs pay per year?

As of Aug 9, 2026, the average yearly pay for vice president of data strategy 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 is a vice president of data strategy?

A Vice President of Data Strategy is a senior executive responsible for overseeing the development and implementation of an organization's data strategy. This role involves aligning data initiatives with business goals, ensuring data governance and quality, and maximizing the value derived from data assets. The VP of Data Strategy collaborates with other executives to drive data-driven decision making, oversees data analytics teams, and ensures compliance with relevant data regulations. They also play a key role in fostering a data-driven culture across the organization.

How does a vice president of data strategy typically collaborate with other executive leaders and departments?

A Vice President of Data Strategy works closely with other executive leaders, such as the CIO, CTO, and business unit heads, to align data initiatives with overall business objectives. They frequently collaborate with IT, analytics, and operations teams to ensure data governance, security, and quality standards are met. Regular cross-functional meetings and workshops are common to prioritize projects, address challenges, and drive data-driven decision making throughout the organization. This collaborative approach helps embed data strategy into the company’s core processes and fosters a culture of data literacy across departments.

What are the key skills and qualifications needed to thrive as a vice president of data strategy?

To thrive as a Vice President of Data Strategy, you need deep expertise in data analytics, strategic planning, and data governance, often backed by an advanced degree in a quantitative field. Familiarity with enterprise data platforms, data visualization tools, and certifications in data management frameworks (like DAMA or CDMP) are commonly required. Strong leadership, communication, and stakeholder management skills make a candidate excel in driving organizational alignment and innovation. These abilities are crucial for leveraging data as a strategic asset, ensuring data quality, and unlocking value for the business.

What is the difference between Vice President Of Data Strategy vs Data Analytics Director?

AspectVice President Of Data StrategyData Analytics Director
ResponsibilitiesDevelops overall data strategy, aligns data initiatives with business goals, oversees data governanceLeads data analysis projects, manages analytics teams, interprets data insights for decision-making
Required CredentialsBachelor's/Master's in Data Science, Business, or related; extensive experience in data managementBachelor's/Master's in Data Analytics, Statistics, or related; strong analytical skills
Work EnvironmentStrategic leadership, cross-department collaboration, executive-level meetingsOperational focus, project management, team leadership in analytics teams

The Vice President Of Data Strategy focuses on shaping the company's overall data vision and strategy, working closely with executive leadership. In contrast, the Data Analytics Director concentrates on executing data analysis projects and managing analytics teams. Both roles require strong data credentials, but the VP role emphasizes strategic planning and governance, while the Director role is more hands-on with data analysis and reporting.

What cities are hiring for Vice President Of Data Strategy jobs? Cities with the most Vice President Of Data Strategy job openings:
What are the most commonly searched types of Of Data Strategy jobs? The most popular types of Of Data Strategy jobs are:
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Vice President Of Data Strategy jobs near you
Infographic showing various Vice President Of Data Strategy 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 $157,532 per year, or $75.7 per hour.

VP of Data Science

Kaizen Analytix LLC

Atlanta, GA • On-site

Full-time

Re-posted 8 hours ago

Job description

Original Post Date: 4/3/2026
VP of Data Science
Kaizen Analytix LLC, an analytics products and services company that gives clients unmatched speed to value through analytics solutions and actionable business insights, is seeking qualified candidates for a VP of Data Science. Responsibilities, capabilities for success, requirements, and the ideal candidate for this position are provided below.
Responsibilities:
Coordinate multiple client analytics engagements - consisting of both custom and packaged analytics solutions by...
  • Overseeing core delivery teams of Kaizen and non-Kaizen (clients, third parties) resources that possess business, technology, and data science skill sets
  • Guiding project workstream leaders
  • Solving business problems through excellent decision-making and innovative, strategic ideas
  • Implementing solutions in either client or Kaizen environments

Capabilities for Success:
Candidate should demonstrate an ability to...
  • Understand business context of analytics solution: Current state, problem, goals/objectives and their business value, obstacles, and impacted client constituents
  • Coordinate teams of analysts/data scientists/software engineers in performing and implementing high quality, sophisticated analysis in support of client engagements and internal projects
  • Provide thought leadership and guidance for multi-variable, complex statistical analysis and mathematical programming algorithms like linear programming, MIP, discrete optimization etc.
  • Present high-level insights to client teams (project leadership to executive-level) and Kaizen leadership
  • Facilitate and foster interaction between client and Kaizen teams
  • Supervise contributions to the KA proprietary solution library - KaizenValueAccelerators (KVAs) and suggest new capabilities in terms of mathematical models, solution frameworks, etc.
  • Provide internal Kaizen teams with thought leadership for brainstorming, developing, delivering, and testing service-oriented software or subscription offerings for targeted clients / industry verticals
  • Continously enhance working knowledge of new models and solution techniques which could be leveraged across projects, look for cross-industry applicability
  • Efficiently coordinate delivery team and client leadership (both business and technical domains) through ambiguity of business process, organization change, and detailed requirements
  • Provide industry-specific thought leadership for defining modeling and measurement techniques and utilizing mathematics, statistical methods, engineering methods, operational mathematical techniques to estimate benefits from using analytical models
  • Support sales and business development activities for both existing and new clients
  • Participate in group leadership, provide leadership for a part of the overall group including all administrative tasks required
  • Contribute to Kaizen's knowledge capital by writing articles and presenting at industry conferences

Job Requirements:
  • Education and Experience
  • Ph.D. in Operations Research, Data Science, Business Analytics, Industrial Engineering, Econometrics, Computer Science, or other applied mathematical discipline, with at least 7 years of relevant professional experience, OR
  • Master's degree in Operations Research, Data Science, Business Analytics, Industrial Engineering, Econometrics, Computer Science, or other applied mathematical discipline, with at least 9 years of relevant professional experience
  • Expertise in three or more of the following areas: math programming, probability, statistics, forecasting, machine learning, artificial intelligence, or other heuristics
  • Excellent written and verbal communication and presentation skills
  • Thorough understanding of all and a minimum of 5 years of expert level experience in four or more of the following: Python, R, SAS, SQL, GLPK, CPLEX, Gurobi, MATLAB
  • Highly proficient in all Microsoft Office applications
  • Ability to structure and analyze large data sets
  • Thorough understanding of Data Visualization tools (Tableau and Power BI preferred)
  • Through understanding of Agile project management methodology
  • Ability to travel as dictated by business needs

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