Note: The job is a remote job and is open to candidates in USA. TPx is a technology and digital transformation company seeking a Senior Business Analyst specializing in AI & Automation. This role involves partnering with business stakeholders to identify and prioritize opportunities for automation and AI-driven solutions, translating business needs into actionable requirements, and overseeing implementation while ensuring compliance and value realization.
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
- Stay current with trends, best practices, and emerging capabilities in AI, automation, and intelligent workflow technologies, and make recommendations for adoption based on evaluation of same
- Evaluate new tools and approaches objectively, independent of vendor or platform bias
- Proactively identify opportunities to improve existing automations and AI-driven processes
Skills
- 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
- Highly self-motivated, adaptable, and capable of managing multiple initiatives simultaneously without sacrificing quality
- 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
- 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
Company Overview
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