phData

Senior Business Analyst, AI & Data

phData$110K — $130K *
US-AnywhereRemote in United States
Business Services
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 6+ years in business analysis or product development within data and analytics, with client-facing experience.
  • Proven ability to facilitate discussions across various organizational levels and translate needs into structured requirements.
  • Exceptional oral and written communication skills for presenting complex ideas to non-technical audiences.
  • Expertise in Agile methodologies and tools such as Jira and Confluence.
  • Hands-on experience using AI to enhance business analysis activities.
  • Strong analytical skills with a proactive approach to understanding business challenges.
  • Willingness to travel up to 50% each month as needed.

Responsibilities

  • Lead interviews and workshops with stakeholders to identify problems and define project scope.
  • Map current and future business processes to identify improvement opportunities.
  • Quantify the benefits of proposed solutions to prioritize initiatives effectively.
  • Document and analyze requirements, including those for AI and GenAI features.
  • Translate business rules and user journeys into actionable deliverables.
  • Facilitate user acceptance testing and ensure quality of deliverables.
  • Build and maintain relationships with clients as a trusted advisor.

Benefits

  • Opportunity to lead digital transformations using cutting-edge AI technology.
  • Collaborative environment encouraging innovative problem-solving strategies.
  • Potential for career growth through coaching and mentoring others.
  • Engagement with diverse executives across multiple domains.
  • Flexibility in work arrangements with travel opportunities.
Full Job Description
As a Senior Business Analyst at phData, you act as the bridge between complex business challenges and innovative technical solutions. You will challenge the status quo, lead with AI, and guide stakeholders through AI and digital transformations to ensure every dollar spent on technology delivers measurable business value. Core Responsibilities Executive & Stakeholder Discovery - Lead high-impact interviews and workshops with Executives, IT, and Business Stakeholders to uncover root-cause problems and define project vision, scope, and success metrics. - Understand enterprise business strategy and align solutions to clear business outcomes. Process & Value Stream Design - Map "As-Is" and "To-Be" value streams and business processes - Identify bottlenecks and automation/AI opportunities, distinguishing full automation from human-augmented workflows. - Quantify benefits (cycle time, error reduction, capacity, CSAT) to support prioritization. Requirements for Data, AI & GenAI - Elicit, analyze, and document functional and non-functional requirements, user stories, and acceptance criteria, including for AI/ML and GenAI features. - Capture business rules, decision logic, and user journeys. - Define data requirements (sources, quality, latency, privacy constraints). - Specify model behavior, guardrails, and human-in-the-loop interactions. - Address non-functional needs (performance, explainability, auditability, SLAs). Delivery, Change & Outcomes - Navigate complex organizational hierarchies and goals to build consensus. - Support experimentation and rollout (PoCs, pilots), including test design, feedback loops, training, SOP updates, and communications. - Partner with architects and developers to ensure designs meet business needs and oversee User Acceptance Testing (UAT). - Own the quality and readiness of BA deliverables and coach project team members. - Drive project outcomes by keeping alignment between business objectives, implementation, and success metrics. AI-Enabled BA Practice & Client Relationships - Use Generative AI tools (e.g., Claude, Glean, agents) to accelerate analysis, documentation, and solution design-letting the tech do the heavy lifting while you validate outputs, synthesize themes, and recommend future states. - Establish, grow, and maintain strong customer relationships as a trusted advisor. Required Qualifications - 6+ years of experience in business analysis or product development in the data and analytics industry, including at least one year in a client-facing consulting environment. - Demonstrated ability to facilitate interviews and workshops across multiple domains and organizational levels, translating ambiguous needs into clear, structured requirements and user stories. - Exceptional communication and presentation skills, able to explain complex topics to non-technical stakeholders. - Expertise in Agile life cycles and tools (e.g., Jira, Azure DevOps, Confluence, Visio or similar). - Hands-on experience leveraging AI to accelerate day-to-day BA activities in client delivery. - Understanding of adoption and change management approaches and familiarity with industry-standard strategy frameworks. - Comfortable with ambiguity, with strong curiosity for the "why" behind the "what." - Proven ability to coach and mentor others and contribute to reusable BA artifacts. - Strong analytical and problem-solving skills. - Willingness to travel up to 50% per month (10 of 20 business days) when required by our clients #LI-DNI

About phData

phData is a big data consulting and managed services firm that specializes in Hadoop and related technologies. The company provides consulting, engineering, and managed services to help organizations with their big data initiatives. phData's services include data strategy, data engineering, data science, and managed services. The company has worked with clients in a variety of industries, including healthcare, finance, retail, and more. phData was founded in 2014 and is headquartered in Bloomington, Minnesota.
Learn more about phData
Size
100 employees
Industry
Founded
2014

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