Senior Business Analyst, AI & Data
phDataAbout the role
Join phData, a remote-first data and AI consultancy company with employees across the United States, Latin America, and India. We partner with industry leaders, including Snowflake, AWS, Anthropic, Azure, GCP, Fivetran, Pinecone, Glean, and dbt, to solve the complex data and AI challenges that slow large enterprises.
We're growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results.
Why phData?
- Snowflake Implementation Partner of the Year — 7 consecutive years, and 2026 Snowflake AI Partner of the Year
- AWS Premier Tier Services Partner — the highest tier of recognition in the AWS Partner Network
- 2025 Fivetran Partner of the Year (4th consecutive year)
- 2025 dbt Labs Partner of the Year (3x winner) with Visionary partner status
- 2026 KNIME Customer Excellence Partner of the Year
- Preferred Partner in the Anthropic Claude Partner Network
- #1 Partner in Snowflake Advanced Certifications
- 600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, and more)
- Recognized as an award-winning workplace in the US, India and LATAM
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.
- Estab
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