SVP, Analytics Solutions

Data Axle is a leader in data solutions that drive meaningful connections between companies and people. We harness data, AI, and technology to create authentic, personalized experiences to improve our clients’ business performance. Recognized for delivering innovative B2B and B2C solutions and exceptional service for more than five decades, our global team is dedicated to helping businesses and nonprofits of all sizes thrive.  We are currently seeking a Senior Vice President of Analytics Solutions. 

General Summary:  

The Senior Vice President, Analytics Solutions reports to the Chief Product Officer and be responsible for defining, building, and commercializing a next-generation analytics and data science capability that leverages Data Axle’s AI assets, proprietary data, and integrated platform. This leader will play a pivotal role in shaping our analytics strategy, partnering with sales, influencing product direction, and delivering measurable value to clients through innovative analytic offerings. This is a high-visibility role ideal for an executive who thrives at the intersection of data, analytics, product innovation, and client impact. The ideal candidate is a dynamic, influential analytics leader who can connect strategy to execution, inspire teams, impress clients, and bring new value propositions to market. This person should be equally capable of rolling up their sleeves with product and data science teams, presenting to a boardroom, and guiding clients through complex transformation. 

Essential Job Functions: *

1. Leadership & Team Development

• Lead and scale a global analytics team (U.S. and India), growing the organization from ~20 to ~50 data scientists, analysts, consultants, and solution architects over the next 18 months.
• Establish a culture of innovation, accountability, and client-centric delivery across all analytics functions.
• Mentor and develop future leaders within the analytics practice.
• Ensure strong operational rigor, resource allocation, and delivery governance as the team scales.

1. Analytics Strategy & Solution Development

• Define and own the analytics solutions roadmap, aligning with Data Axle’s corporate strategy and product vision.
• Develop new analytics offerings—including AI-powered solutions—that utilize Data Axle’s data assets, identity graph, activation platform, and client data.
• Partner closely with Product and Engineering teams to translate analytic needs into data science and product requirements.
• Evaluate emerging technologies, methodologies, and AI techniques to continuously advance our analytics capabilities.
  

1. Client Engagement & Business Impact

• Act as a senior client-facing executive, advising C-suite and VP-level stakeholders on the application of data, AI, and analytics to drive measurable business outcomes.
• Lead transformation engagements—whether business model, process, or data/tech modernization—internally or for clients.
• Ensure delivery excellence across all analytics solutions, with clear KPIs tied to client impact and satisfaction.
• Serve as an escalation point for strategic clients, ensuring high-quality outcomes and long-term partnership value.

1. Commercial Growth & Sales Enablement

• Partner with Sales and Customer Success to support strategic deals, bring compelling analytics narratives to clients, and create repeatable solution packages.
• Drive revenue growth across data licensing, analytics consulting, and AI-enabled solutions.
• Own pricing, packaging, and sales readiness for analytics-driven offerings.

1. Internal Transformation & Cross-Functional Leadership

• Collaborate with internal teams to integrate analytics into the broader Data Axle platform, products, and operational processes.
• Champion the use of AI and advanced analytics across the company—modernizing how Data Axle delivers insights, reporting, and measurement.

* Essential functions are the basic job duties that an associate must be able to perform, with or without reasonable accommodation. The function is considered essential if the reason the position exists is to perform that function.

Supportive Job Functions: *

1. Perform other miscellaneous duties as assigned by management.

*These tasks do not meet the Americans with Disabilities Act definition of essential job functions and usually equal 5% or less of time spent.  However, these tasks still constitute important performance aspects of the job.

Knowledge, Skill, and Abilities:

1. Strong understanding of identity, consumer and business data, marketing activation, CRM, loyalty, and measurement ecosystems.
2. Expertise in AI and modern data science workflows, with an ability to translate technical capabilities into commercial solutions.
3. Exceptional executive presence—comfortable presenting to clients, influencing stakeholders, and navigating complex organizations.
4. Proven ability to generate revenue, support sales motions, and craft high-impact solution offerings.
5. Entrepreneurial mindset with the ability to work in a fast-paced, evolving environment.
   

Education, Experience, and Certification: *

1. Bachelor’s or advanced degree in a relevant field strongly preferred.
2. 20+ years of experience leading analytics, consulting, or data science organizations, with proven success managing distributed teams (including India-based delivery).
3. Demonstrated track record of building and scaling analytics services capabilities, preferably within data providers, marketing technology companies, consulting firms, or digital agencies.
4. Deep experience driving transformation initiatives, whether organizational, operational, or client-facing.
5. Demonstrated success building analytic solutions that drive measurable, repeatable client impact.

*Minimum requirements needed to perform the job.         

Scope of Job:

1. Direct and/or indirect reports.
2. General direction received.
3. Working conditions are good, with some travel, and a consistent workweek.
4. Errors are not always detectible and may be serious and costly.
5. Contact with others inside and outside the Company is regular and frequent.
6. Access to confidential data.

Where required, Data Axle will provide the compensation range for this role upon request. Please contact us or email us at [email protected] to receive compensation and benefits information for this role. Please include the job title and/or job ID of the role you are interested in.

Affirmative Action/EEO Statement:

At Data Axle, we are committed to attracting, retaining, and engaging employees from all walks of life. Diversity is an important part of our values and business operations. We are dedicated to creating an inclusive environment that promotes professional development for everyone. As part of that commitment, Data Axle does not discriminate on the basis of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, marital status, status with regard to public assistance, status as a disabled veteran and or Vietnam Era or any other characteristic protected by federal, state, or local law. All qualified applicants will receive consideration for employment. In addition, Data Axle will provide reasonable accommodation for otherwise qualified disabled individuals.