Data Enablement Lead II

INSPYR Solutions

Charlotte (NC)

On-site

USD 90,000 - 120,000

Full time

4 days ago
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Job summary

INSPYR Solutions seeks an Data Enablement Lead II in Charlotte, NC to build and refine complex enterprise data products, semantic layers, and curated datasets. You will deliver dashboards, reports, and training materials while operating with independence and strong judgment.

You will collaborate with business and technical partners to set standards, drive adoption, and mentor other enablement teams, shaping enterprise data enablement practices without direct people leadership.

Qualifications

  • Bachelor's degree required.
  • 5 to 7 years of relevant work experience.
  • Experience in data models, semantic layers, and dashboards.
  • Ability to translate business needs into scalable data products.
  • Strong analytical and problem-solving skills.

Responsibilities

  • Lead end-to-end design of complex enterprise data models and enablement programs.
  • Translate business needs into scalable data models, datasets, and dashboards.
  • Establish enterprise standards for data definitions and governance.
  • Lead cross-functional discovery, prioritization, and roadmap alignment.
  • Develop training materials, playbooks, and adoption metrics.
  • Mentor Enablement Leads and partner teams without direct supervisory authority.

Skills

Analytical skills
Data modeling
Semantic layers
Self-service enablement
SQL
Dashboards
Reports
Data governance
Mentoring peers

Education

Bachelor's degree

Tools

Analytics tools
Cloud data platforms

Job description

Title: Data Enablement Lead II

Location: Charlotte, NC

Duration: Initial 6 months with extensions

Job Overview

An Enablement Lead II is responsible for building, enhancing, and supporting more complex standard data products and business-facing enablement outputs such as data models, semantic layers, curated datasets, dashboards, reports, training materials, and recurring analytical deliverables. This role works with greater independence, broader ownership, and stronger judgment than the Enablement Lead I while continuing to operate within standard enterprise data, delivery, governance, and enablement practices. It differs from the Data Enablement Manager because it remains an individual-contributor role and does not include direct people leadership or budget responsibility.

This role serves as the fully functioning, trusted technical contributor and enablement partner within the Enablement Lead family. The position independently executes standard work, works through moderate ambiguity, and sets a stronger example in delivery quality, problem-solving, technical execution, and business engagement. It may provide functional guidance and mentoring without formal supervisory authority.

Duties & Responsibilities
  • Lead end-to-end design and development of complex enterprise data models, data products, semantic layers, and enablement programs across CCCI and the bottler system
  • Translate ambiguous business needs into scalable data models, curated datasets, metric definitions, dashboards, reports, and self-service enablement solutions
  • Establish and influence enterprise standards for data definitions, analytics practices, testing, data quality, documentation, performance, and responsible use
  • Lead cross-functional discovery, prioritization, roadmap alignment, and delivery with business and technical partners
  • Develop reusable enablement strategies, training, playbooks, documentation, and mechanisms to measure adoption and business value
  • Mentor Enablement Leads and partner teams through functional guidance, peer review, quality assurance, and knowledge transfer
Knowledge, Skills, & Abilities
  • Advanced analytical and problem-solving skills, including the ability to frame ambiguous enterprise problems, evaluate tradeoffs, and recommend practical solutions.
  • Strong experience developing and maintaining data models, semantic layers, curated datasets, dashboards, reports, and other business-facing analytical outputs using SQL and approved analytics tools.
  • Ability to translate complex business requirements into standardized business logic, metric definitions, reusable data products, and self-service enablement solutions while improving adoption and user capability.
  • Understanding of testing, validation, data quality, governance, documentation, performance, and support practices for reliable production outputs.
  • Demonstrated ability to lead discovery, prioritization, roadmap alignment, and delivery across business, data, technology, and governance stakeholders.
  • Strong facilitation, executive communication, storytelling, training, and change-enablement skills that drive adoption and sustained user capability.
  • Ability to establish standards, decision frameworks, quality controls, and repeatable patterns, influence outcomes without formal authority, resolve competing priorities, manage risk, and make sound decisions with incomplete information.
  • Demonstrated ability to mentor peers and less-experienced employees, conduct peer reviews, provide functional guidance, and transfer knowledge without direct supervisory responsibility.
  • Equivalent preparation may include directly relevant professional experience, advanced certifications, structured online programs, graduate-level or continuing education, bootcamps, employer-sponsored training, or documented self-directed study, provided the candidate demonstrates comparable capability through applied work products, data models, enablement programs, adoption results, technical assessments, or equivalent artifacts.
Minimum Qualifications
  • Bachelor's degree (4 years)
  • Relevant work experience: 5 to up to 7 years
Preferred Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Business Analytics, Data Analytics, Business Administration, Finance, Learning and Development, Instructional Design, Organizational Development, or a related field.
  • Preferred training or certifications may include SQL, data modeling, analytics engineering, cloud data platforms, business intelligence, data management, change management, instructional design, or process improvement. Equivalent technical preparation may be demonstrated through recognized training programs, specialized learning paths, university certificate programs, bootcamps, employer-sponsored training, or documented self-directed study.
About INSPYR Solutions

Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients' business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.

INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, or any other protected status. INSPYR Solutions complies with all applicable laws governing nondiscrimination in employment in every location in which the company has facilities.

Applicants requiring reasonable accommodation during the application or interview process should contact HR@inspyrsolutions.com for assistance.

Information collected and processed through your application with INSPYR Solutions (including any job applications you choose to submit) is subject to INSPYR Solutions' Privacy Policy and INSPYR Solutions' AI and Automated Employment Decision Tool Policy: https://www.inspyrsolutions.com/policies/. By submitting an application, you are consenting to being contacted by INSPYR Solutions through phone, email, or text.

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