Senior Business Analyst, AI & Automation
TPxAbout the role
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, with responsibilities to identify, define, and prioritize opportunities for automation, AI-driven decisioning, and intelligent workflows across the enterprise.
This role works at the intersection of business strategy, process optimization, data, and emerging technologies. The Business Analyst will translate business problems and operational inefficiencies into clear functional requirements and solution designs to be implemented across a variety of platforms, including automation tools (RPA, workflow orchestration), AI/ML solutions, copilots/assistants, analytics platforms, and integrated enterprise systems.
Success in this role requires strong business acumen, technical fluency (not platform-specific), excellent communication skills, and the ability to influence across functions. The ideal candidate can translate ambiguity into recommended courses of action, solution frameworks, and implementation roadmaps, guide stakeholders toward pragmatic automation and AI use cases, and ensure solutions deliver measurable business value while remaining scalable, governed, and ethically sound.
This role operates with a high degree of autonomy, regularly exercising discretion and independent judgment on significant matters from evaluating competing priorities and assessing risk to making recommendations that shape business operations, process design, and technology strategy.
Direct Reports: No
Essential Duties and Responsibilities:
Strategic Partnership & Discovery
- 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.
Requirements & Solution Design
- 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.
Process Optimization & Change Enablement
- 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.
Implementation Oversight
- 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.
Governance, Risk, & Value Realization
- 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.
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