Data Enablement Lead II

Data Enablement Lead II

Charlotte, NC, US, 28211 Locations:
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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…