Senior Business Analyst, Data & AI

Sol is a next-gen consulting firm that helps our clients’ level up their tech, operations, and product/service offerings. We aren’t just advisors we’re doers. We use AI tools to accelerate workflows and deliver faster results. From discovery to full-scale program delivery, we take our clients from vision to decision and from doing to done.

We are seeking a Senior Business Analyst to work on client-facing data and AI platform delivery. The role owns requirements, business rules, and definitions across the delivery lifecycle: source discovery, data contracts, master and reference data decisions, metric definitions, and acceptance criteria for reporting, predictive, and agentic capabilities.

• Own metric and measure definitions with unambiguous business logic, reconciled to system of record, and ensure they hold consistently across every system that consumes them
• Write requirements and acceptance criteria for predictive and agentic capabilities: evaluation criteria, ground truth sets, acceptable error rates, known failure modes, escalation thresholds, and the boundary of what an agent may act on
• Negotiate and author data contracts between source system owners and the platform, covering structure, semantics, quality thresholds, and change notification
• Lead discovery across complex source landscapes: profile sources, surface business rules embedded in legacy processes, and document intake realities that no system diagram shows
• Define and document the business rules that inform master and reference data decisions: golden record criteria, source precedence, and reference hierarchies
• Assess AI-readiness of source data, not only report-readiness: metadata depth, documentation debt, and structure trapped in free text
• Independently validate delivered work: reconcile numbers, identify grain and join errors in generated logic, and hold sign-off credibly
• Partner on backlog prioritization and trade-offs, translating business objectives into sized, well-formed backlog items with clear acceptance criteria
• Drive acceptance through demos, testing coordination, and validation of delivered capability against real data
• Contribute to AI governance practice, including PII classification and business rules for what data and actions are in scope for agentic capabilities
• Contribute to Sol's delivery practice through reusable methods, templates, and assets

• 6+ years as a Business Analyst, with deep experience with data platform, analytics, or AI programs in environments with multiple conflicting source systems
• Bachelor's degree or equivalent practical experience

• Client-facing consulting or delivery experience
• Working knowledge of core data concepts: dimensional and relational modeling, grain, conformed dimensions, lineage, and lakehouse fundamentals, sufficient to ask informed questions of a model and write requirements that align with the architecture
• Data quality as a practiced discipline: profiling methodology, quality dimensions, rule authoring, threshold setting, and exception triage
• Exposure to master data and governance practice: stewardship models, business glossaries, catalogs, classification, and policy
• Fluency in Agile delivery: backlogs, user stories, sprint ceremonies, and prioritization with business stakeholders
• Strong stakeholder communication skills, able to work effectively with both technical and executive audiences
• Hands-on exposure to modern data and AI tooling: lakehouse platforms, transformation frameworks, ML lifecycle tooling, catalog and quality platforms, orchestration
• Experience defining evaluation approaches for LLM or agentic systems
• Domain depth in revenue operations, settlement, or financial reconciliation.
• Experience onboarding new source…