Technical Business Analyst # 26-24614

US Tech Solutions•White plains- Westchester, NY

6d•Hybrid

About The Position

The Contingent worker will be expected to deliver a range of activities over the course of the engagement, focusing on requirements elicitation, analysis, and management, business process analysis and design, AI-specific requirements, business change impact assessment, stakeholder engagement, backlog management, and documentation, training, and knowledge transfer. This role involves working within an Agile framework and employing DevOps practices, with a preference for Clienture DevOps. The position requires a strong understanding of technical concepts, programming languages, AI usage in business analysis, data integration, and data science concepts. The ideal candidate will possess excellent analytical, critical thinking, and problem-solving abilities, with strong communication and organizational skills, and the capacity to work effectively in fast-paced environments.

Requirements

Demonstrated experience as a business analyst in software implementations or deployments.
Proficient in programming languages such as Java, C++/C, and Oracle database.
Expertise in Excel including macros.
A deep understanding of technical concepts, principles, and terminology.
Knowledge and expertise in AI usage in Business analysis.
Extensive experience in data profiling, analysis, and querying.
Experience working on data integration projects.
Extensive experience in developing detailed functional and technical requirements.
Knowledge of data science concepts, data products and extensive experience in gathering data requirements.
Experience working within the Agile framework and employing DevOps (Clienture DevOps preferred).
Excellent analytical, critical thinking, and problem-solving abilities.
Familiar with automated testing tools.
Ability to work effectively in a team environment with both employees and consultants.
Strong communication skills across various levels of technical and business teams.
Proven management and organizational skills.
Strong adaptability and capacity to work in fast-paced environments.
BS in Computer Science, Information Systems, or a related field from an accredited institution, or equivalent experience.
5+ years of relevant experience, preferably in Business Analysis for IT projects, including cloud computing and data integration.
Programming experience.

Nice To Haves

IIBA Entry Certificate in Business Analysis (ECBA)
IIBA Certification of Competency in Business Analysis (CCBA)
IIBA Certified Business Analysis Professional (CBAP)
IIBA Agile Analysis Certification (AAC)
IQBBA Certified Foundation Level Business Analyst (CFLBA)
IREB Certified Professional for Requirements Engineering (CPRE)
PMI-Professional in Business Analysis (PBA) Certification
Certifications in Agile, DevOps, or programming languages, Data Management are a plus.

Responsibilities

Facilitate sessions with stakeholders to gather business, functional, and non-functional requirements.
Document requirements as BRDs, user stories, use cases, and acceptance criteria.
Maintain a requirements traceability matrix across all delivery phases.
Validate requirements with stakeholders and vendors for clarity and alignment.
Support ongoing refinement, prioritization, and requirements change control.
Identify process gaps, pain points, and improvement opportunities.
Design future state (TO BE) processes aligned with policies and operational goals.
Create process maps, swim lanes, and related models for stakeholder communication.
Collaborate with organization teams and vendors to ensure feasible, compliant designs.
Leverage AI for requirements definition, and provide expertise in guiding organization teams on using AI for business analysis.
Identify potential risks such as bias, regulatory implications, privacy issues, and ethical concerns related to AI.
Define AI performance KPIs such as accuracy, precision, business ROI, cost savings, or customer satisfaction improvements.
Determine the level of transparency needed for users, auditors, or regulators regarding AI model explainability.
Map when humans should review, override, or monitor AI outputs (Human in the Loop Design).
Assess training needs, user adoption challenges, and operational transition planning for AI implementation.
Design acceptance criteria specific to AI outputs, edge cases, and model behavior scenarios for UAT.
Identify how to track model drift, data quality, and continuous performance over time (Post Deployment Monitoring Framework).
Identify impacted stakeholders and assess needs and change impacts.
Support business readiness and cutover planning.
Maintain and refine requirements and user stories in Clienture DevOps.
Ensure items have clear acceptance criteria and prioritization in Clienture DevOps.
Support sprint planning, refinement, and reviews.
Track BA artifacts and align with testing and defect management.
Coordinate with teams to keep documentation current.
Develop and maintain BRDs, functional specs, process maps, and procedure documents.
Provide input for training materials and job aids.
Conduct or support stakeholder walkthroughs of new processes and capabilities.