Lead Business Data Analyst with AI implementation experience

We are

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms.

Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 17,000, and has 58 offices in 22 countries within key global markets.

Our challenge

We are seeking a Senior Business Analyst with strong business analysis, communication, facilitation, negotiation, data, and AI capabilities.

This role will bridge Business, Data, AI, and Technology to translate complex business problems into clear requirements, specifications, data needs, and AI capabilities. The successful candidate will combine traditional business analysis with data analysis, data virtualization, metadata and semantic analysis, context engineering, prompt engineering, GenAI/Agentic AI requirements, and specification-driven development.

The ideal candidate is comfortable moving from a business problem to the process, data, context, specifications, and AI behaviors required to deliver an effective solution.

Additional Information*

The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within Jersey City, NJ is $100k - $120k/year & benefits (see below).

The Role

Responsibilities

• Gather and document business and technical requirements.
• Create user stories, functional specifications, process flows, and acceptance criteria.
• Write SQL queries to analyze, validate, and reconcile data.
• Investigate data issues, system defects, and transaction discrepancies.
• Support data mapping, integrations, testing, implementations, and production issue resolution.
• Collaborate with stakeholders across business, technology, product, and operations teams.
• Identify opportunities to improve processes, data quality, and system efficiency.
• Significant experience as a Senior Business Analyst, Business Systems Analyst, Product Analyst, or equivalent supporting complex technology initiatives.
• Strong expertise in business analysis, requirements engineering, process analysis, and requirements decomposition.
• Exceptional communication, facilitation, negotiation, stakeholder management, and influencing skills.
• Strong analytical skills with the ability to work across business processes, data, and technology.
• Experience defining data requirements and analyzing structured and unstructured data.
• Understanding of data quality, metadata, lineage, business definitions, semantic relationships, and data governance.
• Experience with Agile delivery, including Epics, Stories, acceptance criteria, refinement, and iterative development.
• Working knowledge of GenAI, LLMs, Agentic AI, context engineering, and prompt engineering.
• Ability to translate AI use cases into clear business requirements, agent behaviors, guardrails, data/context needs, and acceptance criteria.
• Understanding of specification-driven development and the importance of precise, structured requirements for both traditional and AI-assisted software development.

Preferred / Differentiating Skills

• Experience with Starburst or similar data virtualization/query platforms.
• Experience with Collibra or similar data governance, catalog, metadata, and data-quality platforms.
• Experience with enterprise GenAI platforms such as Microsoft Copilot, Copilot Studio, Azure AI, or comparable technologies.
• Familiarity with concepts such as RAG, semantic search, vector search, enterprise knowledge retrieval, AI agents, and orchestration.
• Experience with Jira or similar Agile delivery tools.
• Experience working in a highly regulated environment where data governance, traceability, controls, explain ability, and human oversight are important.
• Audit, Risk, Compliance, or continuous risk monitoring experience is a strong plus.

We offer

• A highly competitive compensation and benefits package.
• A multinational organization with 58 offices in 22 countries and the possibility to work abroad.
• 10 days of paid annual leave (plus sick leave and national holidays).
• Maternity & paternity leave plans.
• A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region).
• Retirement savings plans.