Senior Business Analyst, AI & Automation
General Purpose
The Business Analyst of AI & Automation is a key member of the technology and digital transformation team, serving as a strategic partner to business stakeholders, identifying, defining, and prioritizing opportunities for automation, AI-driven decisioning, and intelligent workflows across the enterprise.
Essential Duties and Responsibilities
Serve as a trusted partner to business leaders to identify, recommend, evaluate, and prioritize automation and AI opportunities aligned with strategic objectives, operational efficiency, customer experience, and revenue growth.
Conduct discovery workshops to understand current-state processes, pain points, decision drivers, and success metrics, and convert those understandings into actionable solutions.
Elicit, analyze, and document business, functional, non-functional, and data requirements for automation and AI initiatives.
Translate business needs into clear solution specifications for:
- Process automation (RPA, workflow, orchestration)
- AI-assisted workflows and decision support
- Predictive, generative, or rules-based capabilities
- Data ingestion, enrichment, and outputs
Develop epics, features, user stories, and acceptance criteria using agile methodologies.
Provide strategic input to architects, engineers, data scientists, and vendors to ensure solutions meet business intent without unnecessary complexity.
Assess and redesign business processes to ensure they are automation-ready before technology implementation.
Identify change management needs, risks, and dependencies to minimize disruption to business operations.
Support stakeholders in understanding how AI and automation will change roles, workflows, and decision-making.
Oversee and provide guidance across multiple concurrent initiatives using agile, hybrid, or iterative delivery models.
Direct and assess solution configuration, validation, and testing in collaboration with delivery teams.
Lead User Acceptance Testing (UAT), ensuring outcomes align with documented business objectives.
Assist with go-live readiness, training materials, and adoption plans.
Collaborate with security, legal, compliance, and data teams to ensure AI and automation solutions comply with internal policies and external regulations.
Ensure responsible AI practices, including transparency, bias awareness, and explainability where applicable.
Define, establish, and track KPIs to measure automation and AI value realization post-implementation.
Continuously identify opportunities to optimize or expand deployed solutions.
Required Qualifications
BA/BS in Information Systems, Computer Science, Business, Engineering, or equivalent experience.
Proven experience as a Business Analyst supporting automation, AI, data-driven, or complex enterprise technology initiatives.
Strong understanding of business processes, operating models, and how technology enables measurable outcomes.
Demonstrated ability to balance strategic thinking with practical, execution-focused delivery.
Comfortable working in environments with evolving requirements and emerging technologies.
Exceptional written and verbal communication skills across technical and non-technical audiences.
Ability to advise and translate complex automation or AI concepts into actionable business recommendations at an executive level.
Skilled at facilitating alignment among diverse stakeholders with competing priorities.
Strong collaboration skills with product managers, architects, engineers, data teams, and external partners.
Ability to decompose complex topics into consumable components that drive clarity and momentum.
Other Qualifications
Experience with one or more of the following is strongly preferred:
- Process automation or workflow platforms
- AI/ML or analytics initiatives
- Data modeling or data governance concepts
- Agile product delivery environments
Familiarity with responsible AI principles and enterprise governance models is a plus.
Demonstrated ability to exercise sound judgment, balance competing priorities, and guide strategic solutions in complex, ambiguous situations.