Jobs · Information Technology

Senior Business Analyst, AI & Automation

TPx · United States · 1 wk ago
RemoteRemoteInformation TechnologyFull-time

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.

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