Vaco is actively seeking an experienced Enterprise Data Transformation Executive for a direct-hire role supporting a highly respected industry leader focused on data modernization and evolution across the global enterprise.

Position Summary

This executive leadership role reports directly to the Chief Data Officer and is responsible for developing and delivering the end-to-end execution of enterprise data and analytics initiatives.

Serving as the operational arm of the CDO’s strategic vision, this individual will translate enterprise data strategy into tangible outcomes across portfolios, programs, and cross-functional enterprise teams.

This is a transformation-driven execution mandate requiring enterprise influence, disciplined delivery leadership, and strategic oversight.

The ideal candidate will demonstrate prior responsibility for designing, delivering, and leveraging modernized enterprise cloud environments within large, global organizations, along with the proven ability to communicate effectively with stakeholders across all levels of the enterprise.

Key Responsibilities:

Partner directly with the leadership, stakeholders, cross-functional teams, and strategic partners to define and operationalize new enterprise data vision and centralized operating model.
Lead modernization of enterprise data platforms across cloud-first environments with preference towards Google based ecosystems.
Drive advancement of advanced analytics, AI, and machine learning capabilities across enterprise verticals including operational, workforce, and revenue domains.
Collaborate and influence stakeholders and cross-functional leaders to align data initiatives with enterprise strategy.
Identify and resolve enterprise systemic challenges including revenue imbalance, expansion opportunities, workforce distribution inefficiencies, and predictive planning gaps.
Establish global governance, scalability, and architectural standards within an evolving technical landscape.
Build and scale high-performing data teams as organizational structure expands.
Navigate global organizational dynamics across a multi-country operating footprint.
Operate strategically while maintaining sufficient technical fluency to influence architecture, tooling, and technical modernization decisions.

Required Qualifications:

Previous executive-level experience leading enterprise data, analytics, or modernization initiatives within complex, global organizations.
Deep understanding of modern data architectures including cloud data platforms, lakehouse environments, and enterprise analytics ecosystems.
Strong working knowledge of data engineering practices, analytics lifecycle management, and governance frameworks.
Demonstrated success building and scaling data modernization teams and capabilities from the ground up.
Experience operating in multi-brand, multi-location, or integration-driven environments.
Strong understanding of cloud ecosystems and AI enablement strategies with Google Cloud Platform (Google Cloud Platform) experience preferred, but not required.
Proven ability to engage credibly with architects and engineers while influencing C-level stakeholders on ecosystem design and best practices.
Exceptional verbal, written, presentation, and interpersonal communication skills with individuals at all levels of an organization.

Additional Details

Employment Type: Direct-Hire with Client

Primary Schedule: Monday – Friday / 8a – 5p (CST)
Location: Remote
Target Compensation:
- Base Range: $280k –$290k
- Lucrative Annual Bonus Plan
- Long-term Incentive Plan
Travel: Under 10%
Engagement Status: Applicant must be currently authorized to work in the U.S. without the need for employment-based sponsorship, now or in the future, including: H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT, or any other employment-based visa programs.

Interested Candidates are Encouraged to Apply for Immediate Consideration!

Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual’s skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company’s 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products.

Enterprise Data Transformation Executive

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