AI Automation and Integration Analyst

The AI Automation and Integration Analyst is an individual contributor and cross-functional process leader responsible for connecting enterprise data, modernizing business workflows, and delivering secure AI-enabled solutions. Working directly with the Business Development organization, IT, Security, data owners, and other business stakeholders, this role turns high-value business needs into reliable integrations, governed automations, and measurable process improvements.

The role combines enterprise integration, business process leadership, AI engineering, and security-by-design. The successful candidate will establish practical technical standards, lead discovery and prioritization, guide solutions from architecture through adoption, and remain hands-on in building APIs, connectors, data pipelines, automations, copilots, and intelligent agents.

You Will Be Accountable For:

Enterprise Data Connections and Integration Lead the strategy, architecture, delivery, and operational health of connections among business applications, data platforms, AI services, and external systems.

Design and implement secure integrations using APIs, enterprise connectors, webhooks, event-based patterns, file exchanges, data pipelines, and other appropriate methods.

Define source-to-target mappings, transformation rules, data contracts, validation controls, and error-handling standards that keep connected data accurate, complete, traceable, and recoverable.

Partner with system owners and data stewards to clarify ownership, authoritative sources, master and reference data, retention needs, and permitted uses of information.

Establish reusable integration patterns and technical standards for authentication, authorization, secrets, service accounts, versioning, logging, monitoring, retries, reconciliation, and support.

Process Leadership and Automation Lead structured discoveries with business stakeholders to document current-state processes, identify control gaps and bottlenecks, and design practical future-state workflows.

Facilitate decisions across business, IT, Security, Legal, Compliance, and data-owner groups; make responsibilities, tradeoffs, approvals, and escalation paths explicit.

Lead initiatives from intake and requirements through design, testing, change management, deployment, training, operational handoff, and benefits realization.

Develop process, documentation, and solution standards that enable repeatable delivery across teams while reducing one-off tools and unmanaged workflows.

Security Governance and Responsible AI Evaluate integration risks and dependencies, including data sensitivity, interface limits, vendor constraints, environment boundaries, and downstream business impact.

Embed security and privacy requirements throughout solution design, including data classification, least-privilege access, segregation of duties, encryption, secure credential handling, and appropriate retention.

Perform solution-level risk assessments and threat modeling; document data exposure, trust boundaries, failure modes, control requirements, and residual risk before production release.

Establish governance for AI solutions, including approved data use, grounding sources, human oversight, output validation, model and prompt change control, and monitoring for quality and misuse.

Ensure solutions comply with company policies, contractual obligations, export-control requirements, and applicable regulatory or customer requirements.

AI and Intelligent Automation Identify and deliver use cases where AI, intelligent agents, and automation improve productivity, accuracy, responsiveness, or decision-making.

Architect, prototype, build, test, deploy, and support AI-enabled solutions using Microsoft Copilot Studio, Azure AI, OpenAI, Power Platform, and other approved enterprise technologies.

Integrate AI solutions with governed enterprise data and applications while maintaining clear permissions, provenance, logging, and human review.

Evaluate emerging technologies and recommend adoption only when the business case, security posture, support model, and operational readiness are clear.

Measure deployed solutions for accuracy, performance, adoption, cost, control effectiveness, and business impact; improve or retire them based on evidence.

Data and Analytics Develop or enhance governed dashboards, reports, and analytical tools using Power BI, Excel, SQL, or similar technologies.

Define and validate metrics, data lineage, reconciliation rules, and quality checks so…