Technical Business Analyst - NY ( Hybrid 3 days onsite)

Technical Business Analyst – Employee Communications Surveillance (ECOMMS)

We are seeking a Technical Business Analyst (TBA) / SME with strong experience in Employee Communications Surveillance (ECOMMS) platforms such as Smarsh Enterprise Conduct or similar surveillance tools. The ideal candidate will act as a bridge between business stakeholders and engineering teams, translating business requirements into detailed technical specifications while also contributing as a subject matter expert in communication surveillance systems. This role requires a blend of business analysis expertise, technical knowledge, and domain understanding of compliance surveillance systems.

Key Responsibilities

• Act as a Business Analyst and SME for Employee Communications Surveillance (ECOMMS) systems.
• Gather, analyze, and document high-level business requirements and translate them into detailed functional and testable specifications.
• Collaborate with stakeholders to define surveillance controls, compliance rules, and monitoring requirements.
• Work closely with development teams in an Agile environment to support design, development, and delivery of surveillance solutions.
• Serve as a liaison between business units, compliance teams, and IT delivery teams across all phases of the SDLC.
• Perform feasibility analysis, define project scope, prioritize deliverables, and recommend alternative solutions where necessary.
• Support product definition, testing, deployment, and post-production validation.
• Act as an SME for system behavior, data interpretation, and surveillance workflows.
• Write Behavior-Driven Development (BDD) test cases to support QA and UAT processes.
• Support tuning and validation of surveillance rules and NLP-based monitoring models used in ECOMMS platforms.

Required Skills & Qualifications

• 3–5+ years of experience in Business Analysis within software development projects.
• Strong experience with Employee Communications Surveillance (ECOMMS) tools such as Smarsh Enterprise Conduct or similar platforms.
• Strong SQL and data analysis skills.
• Working knowledge of programming languages such as Python, Java, or Scala (preferred).
• Experience in requirements gathering, process design, and use case documentation.
• Exposure to testing or tuning Natural Language Processing (NLP) models in compliance/surveillance environments.
• Strong analytical and problem-solving abilities.
• Excellent verbal and written communication skills.
• Ability to work effectively with cross-functional teams including Business, Compliance, QA, and Engineering.
• Experience working in an Agile/Scrum environment.

Preferred Skills

• Experience in financial services or regulated industry surveillance systems.
• Familiarity with compliance monitoring, eDiscovery, or communication surveillance workflows.
• Knowledge of machine learning/NLP concepts used in compliance monitoring systems.