Enterprise Enablement, Analytics and Toolchain Integration Lead

๐Ÿข CareSource ยท all CareSource jobs
๐Ÿ“ United States
๐Ÿ’ฐ USD 113,000 - 197,700 / annual
๐Ÿ“… Posted 2026-08-12 ยท via Himalayas
๐Ÿท Enterprise-Analytics,Business-Analysis-Enablement,Toolchain-Integration-Lead,Analytics-and-Reporting,Requirements-Management,Enterprise-Integration-Lead,Enterprise-AI-Enablement-Lead,Enablement-Lead,Technical-Enablement-and-Documentation-Lead,AI-Enablement-Lead,Enterprise-Technical-Lead
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Job Summary:

The Enterprise Enablement, Analytics and Toolchain Integration Lead owns enterprise adoption, visibility, analytics, and AI-enabled tool use that support consistent, high-quality requirements delivery across federated teams. This role is not an AI-specific role; it requires strong AI literacy because the enablement environment includes native AI tools, including Nexus, along with BI dashboards, Azure DevOps, ServiceNow, and related delivery platforms. The role integrates standards, patterns, metrics, and governance gates into the working environments business analysts use every day, and builds dashboards, leading indicators, automation, and portfolio-level decision support that improve delivery predictability, reduce rework, strengthen adoption, and enable executive storytelling for business and technology leaders.

Essential Functions:
- Design and maintain the federated BA enablement curriculum; curate content, certify capabilities, and establish standards for consistent enterprise requirements delivery without operating as a centralized training service

- Own toolchain integration so federated BAs access standards, patterns, templates, governance gates, and enablement assets from within their working environments, including Azure DevOps, ServiceNow, NEXUS surfaces, BI dashboards, and AI platforms

- Build, maintain, and mature dashboards for the four success metrics, including defining leading indicators, improving metric quality, and ensuring portfolio leaders use insights to drive decisions

- Drive enterprise BA standards adoption measured through use in delivered artifacts, requirement quality, readiness, traceability, and reduced rework rather than downloads, page views, or passive engagement metrics

- Surface trends to portfolio leadership, including where standards are working, where adoption is lagging, where rework is concentrated, and where intervention is needed to improve delivery outcomes

- Apply AI-enabled and agentic tooling as part of daily enablement, analytics, and toolchain integration work, including dashboard narratives, executive communications, content development, requirement decomposition, synthesis, automation, and policy analysis

- Lead enterprise enablement, adoption, and change management activities, including communities of practice, stakeholder engagement, curriculum adoption, communications, and continuous improvement initiatives

- Partner with enterprise governance, architecture, delivery, analytics, AI enablement, and business leaders to align standards, tooling, metrics, automation, and adoption strategies across portfolios

- Partner with Enterprise Requirements Governance Lead, the Requirements Quality and Validation Lead, analytics, delivery, and technology stakeholders to align standards, validation frameworks, tooling, automation, AI-enabled evaluation capabilities, and adoption strategies across portfolios

- Perform any other job related duties as requested.

Education and Experience:
- Bachelor's degree in business administration, information technology, healthcare management, data analytics, or related field required

- Equivalent years of relevant work experience may be accepted in lieu of required education

- Eight (8) years of experience in analytics, enablement, requirements management, enterprise tooling integration, delivery operations, portfolio management, or related disciplines within a healthcare or regulated environment required

- Experience integrating and operationalizing Azure DevOps, ServiceNow, Power BI, NEXUS surfaces, AI platforms, or similar enterprise delivery and requirements management tools required

- Experience using AI/LLM tools, agentic tooling, automation, and data analytics platforms to improve enablement, content quality, workflow efficiency, decision support, and toolchain adoption required

- Experience building decision-oriented dashboards, defining leading indicators, maturing success metrics, and communicating insigh

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