Senior Business Analyst

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 56 offices in 21 countries within key global markets.

Our challenge

We are looking for a hands-on Senior Business Analyst for a high-visibility Data and GenAI/Agentic AI program. The role connects Business, Data, AI, and Technology. You'll take a complex business problem and turn it into processes, requirements, data needs, AI context, and implementation-ready specifications.

This position suits a self-starter with strong analytical, communication, facilitation, and negotiation skills who can work effectively with senior business stakeholders and delivery teams.

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, NJ is $115K - $120K/year & benefits (see below).

The Role

• Proficiency translating business problems into processes, requirements, data, AI context, and specifications
• Strong data skills to define and validate the data that AI agents and analytics depend on
• Working knowledge of GenAI, LLMs, Agentic AI, context engineering, and prompt engineering
• A specification-driven mindset: precise, structured, testable requirements for traditional and AI-assisted development

Responsibilities:

• Leading requirements discovery, elicitation, and documentation, translating business objectives into Epics, Stories, specifications, and acceptance criteria
• Defining current-state and target-state processes and identifying opportunities for simplification, automation, and AI enablement
• Maintaining end-to-end traceability, from business objective through requirement, specification, and implementation to validation
• Leading discovery workshops, refinement sessions, and solution-design discussions; resolving ambiguity and negotiating priorities across Business and Technology
• Defining data requirements, including:
• source systems and critical data elements (CDEs)
• business definitions and mappings
• transformation rules and refresh needs
• ownership and data quality expectations
• Analyzing structured and unstructured data with SMEs
• Partnering with Data Engineering to expose data sources through Starburst (or similar data virtualization tools)
• Assessing data quality and working with Data Owners and Stewards to maintain metadata, lineage, classifications, and governance in Collibra (or similar)
• Establishing business glossaries, taxonomies, ontologies, and semantic relationships to make enterprise data AI-ready
• Defining AI agent requirements:
• objectives, roles, and inputs/outputs
• workflows and decision boundaries
• data and knowledge needs
• human-in-the-loop interactions
• business rules, exceptions and escalation paths, and guardrails
• evaluation criteria
• Defining where AI should inform, recommend, augment, or automate business activities
• Writing testable AI acceptance criteria covering grounding, relevance, completeness, consistency, and appropriate behaviour
• Designing and refining prompts, and defining the business context agents need: policies, terminology, rules, metadata, and knowledge sources
• Deciding with AI Engineering what is provided as instructions versus retrieved dynamically from enterprise knowledge and data
• Writing implementation-ready specifications that cover:
• behaviour, business rules, and decision logic
• data, inputs/outputs, and interfaces
• exceptions and dependencies
• acceptance criteria and non-functional requirements
• Partnering with Engineering throughout development to clarify specifications and reduce rework

Requirements:

• Significant experience as a Senior BA, BSA, Product Analyst, or equivalent on complex technology initiatives
• Strong expertise in requirements engineering, process analysis, and requirements decomposition
• Exceptional communication, facilitation, negotiation, stakeholder management, and influencing skills
• Experience defining data requirements and analyzing structured and unstructured data
• Understanding of data quality, metadata, lineage, business definitions, semantic relationships, and data governance
• Agile delivery experience: Epics, Stories, acceptance criteria, refinement, Jira
• Working knowledge of GenAI, LLMs, Agentic AI, context engineering, and prompt engineering
• Ability to translate AI use cases into requirements, agent behaviours, guardrails, data and context needs, and acceptance criteria
• Understanding of specification-driven development

Preferred, but not required:

• Starburst or similar data virtualization or query platforms
• Collibra or similar governance, catalog, metadata, or data quality platforms
• Microsoft Copilot, Copilot Studio, Azure AI, or comparable enterprise GenAI platforms
• RAG, semantic and vector search, enterprise knowledge retrieval, AI agents, and orchestration
• Experience in a highly regulated environment (traceability, controls, explainability, human oversight)
• Audit, Risk, Compliance, or continuous risk monitoring experience

We offer:

• A highly competitive compensation and benefits package.
• A multinational organization with 56 offices in 21 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.
• A higher education certification policy.
• Commuter benefits (varies by region).
• Extensive training opportunities, focused on skills, substantive knowledge, and personal development.
• On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses.
• Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups.
• Cutting edge projects at the world's leading tier-one banks, financial institutions and insurance firms.
• A flat and approachable organization.
• A truly diverse, fun-loving, and global work culture.

S YNECHRON'S DIVERSITY & INCLUSION STATEMENT

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative 'Same Difference' is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant's gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.