Enterprise Enablement, Analytics and Toolchain Integration Lead

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Enterprise Enablement, Analytics and Toolchain Integration Lead based in United States.

This is a strategic, enterprise-level role focused on strengthening how business analysis teams deliver high-quality requirements across federated environments.
You will connect enablement, analytics, AI-enabled tooling, governance, and delivery platforms into a cohesive operating model.
The role combines hands-on dashboard development and toolchain integration with enterprise adoption and change management.
You will turn operational and requirements data into actionable insights that improve predictability, quality, traceability, and delivery outcomes.
Working across technology, analytics, governance, delivery, and business leadership, you will influence standards and adoption across multiple portfolios.
The environment is highly collaborative, technology-driven, and regulated, with strong emphasis on automation, continuous improvement, and data-informed decision-making.
This opportunity is ideal for an experienced professional who can move comfortably between technical systems, analytics, AI capabilities, stakeholder engagement, and executive storytelling.

Accountabilities:

• Design and maintain a federated business analyst enablement curriculum, curate content, establish standards, and certify capabilities that promote consistent enterprise requirements delivery.
• Own the integration of standards, templates, patterns, governance gates, and enablement resources into the platforms and working environments used by business analysts, including Azure DevOps, ServiceNow, NEXUS surfaces, BI dashboards, and AI-enabled tools.
• Build, maintain, and continuously improve decision-oriented dashboards covering key enterprise success metrics, including leading indicators, data quality, readiness, adoption, and performance measures.
• Measure standards adoption through delivered artifacts, requirements quality, readiness, traceability, and reductions in rework rather than passive engagement indicators.
• Analyze portfolio trends and communicate where standards are succeeding, where adoption is lagging, where rework is concentrated, and where targeted interventions can improve outcomes.
• Apply AI, LLM, agentic, and automation capabilities to enablement and analytics activities, including dashboard narratives, executive communications, content creation, requirement decomposition, synthesis, policy analysis, and workflow automation.
• Lead enterprise enablement, adoption, and change management initiatives, including communities of practice, stakeholder engagement, communications, curriculum adoption, and continuous improvement programs.
• Partner with governance, architecture, delivery, analytics, AI enablement, technology, and business leaders to align standards, metrics, tooling, automation, and adoption strategies across portfolios.
• Collaborate with requirements governance and quality stakeholders to align validation frameworks, tooling, automation, AI-enabled evaluation capabilities, and enterprise adoption strategies.
• Develop and refine processes, reporting mechanisms, and tool integrations that improve delivery visibility, decision support, governance, and operational efficiency.
• Support executive-level storytelling by translating complex operational, delivery, and requirements data into clear insights, recommendations, and actions.
• Perform additional responsibilities related to enterprise enablement, analytics, tooling integration, and continuous improvement as required.

Requirements:

• Bachelor's degree in business administration, information technology, healthcare management, data analytics, or a related field; equivalent relevant professional experience may be considered.
• At least 8 years of experience in analytics, enablement, requirements management, enterprise tooling integration, delivery operations, portfolio management, or a related discipline, preferably within healthcare or another regulated environment.
• Hands-on experience integrating and operationalizing enterprise platforms such as Azure DevOps, ServiceNow, Power BI, NEXUS, AI platforms, or comparable requirements and delivery technologies.
• Advanced expertise in Power BI, KPI development, reporting design, dashboard architecture, data quality, readiness metrics, and performance measurement.
• Proven experience using AI/LLM tools, agentic technologies, automation, and analytics platforms to improve workflows, content quality, enablement, decision support, and tool adoption.
• Demonstrated ability to develop leading indicators, mature success metrics, and create dashboards that influence portfolio or executive-level decisions.
• Strong understanding of Agile, project, hybrid or bi-modal requirements lifecycles, Lean Portfolio Management, product management, portfolio management, and flow-based delivery practices.
• Strong understanding of enterprise toolchain design and the ability to embed standards, patterns, governance gates, and enablement assets directly into day-to-day workflows.
• Experience with technologies and platforms such as Copilot, Copilot Studio, Claude, AI platforms, analytics solutions, and related enterprise delivery tools is highly valuable.
• Strong analytical, problem-solving, communication, stakeholder management, and executive presentation skills.
• Ability to translate complex operational and requirements data into actionable insights that support strategic decisions, portfolio optimization, adoption interventions, and measurable business outcomes.
• Strong change management and community engagement capabilities, with the ability to build and sustain a productive federated community of practice.
• Comfortable moving between technical integrations, analytics design, AI-enabled automation, stakeholder collaboration, and executive storytelling.
• Experience supporting traceability, governance, compliance, and audit-readiness practices in regulated environments.
• Ability to work collaboratively across multidisciplinary teams while maintaining a strong focus on execution, continuous improvement, and measurable outcomes.
• Power BI, analytics, Agile, Six Sigma, or AI/ML certifications are preferred.

Benefits:

• Competitive base salary: $113,000–$197,700 annually.
• Performance-based bonus eligibility tied to individual and organizational results.
• Fully remote work environment with no routine travel typically required.
• Comprehensive total rewards package designed to support employees' financial, physical, and overall well-being.
• Opportunity to work at enterprise scale across analytics, AI, business systems, governance, and delivery transformation.
• Collaborative environment focused on partnership, professional development, execution, and continuous improvement.
• Opportunities to influence enterprise standards, technology adoption, and strategic decision-making.
• Inclusive workplace committed to belonging and supporting individuals from diverse backgrounds.
• General office environment with flexibility associated with a remote position.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.