Business analyst - Dallas, TX

Dice is the leading career destination for tech experts at every stage of their careers. Our client, TechniPros, LLC, is seeking the following. Apply via Dice today! Job Role: Business Analyst Location: Hybrid at local offices Long Term Contact No C2C only W2 Level Required for Primary Skill Advanced (8+ years of US experience) Role Summary: As a Business Systems Analyst, you will act as a liaison between IS and divisional stakeholders to maintain, enhance, and integrate firm systems, data, and AI-enabled capabilities. You will proactively identify enterprise technology opportunities and/or serve on formal project teams to deliver new systems, data products, and AI solutions. Your role involves translating complex business needs into clear, testable specifications for data, engineering, and AI/ML teams. Responsibilities:Develop a deep understanding of how enterprise systems, data platforms, and AI services interact-and how changes affect firm operations and initiatives. • Partner with stakeholders to define AI use cases and success measures; document current-state pain points and future-state workflows. • Elicit and translate requirements into actionable specifications (functional and non-functional), including data readiness, performance, availability, and auditability needs for AI-enabled features. • Map data structures and elements to business processes, ensuring accurate documentation of data lineage, definitions, usage, and access controls. • Create and maintain artifacts such as business process models, data flow diagrams, prototypes, business requirements, use cases/user stories, acceptance criteria, and test cases. • Support AI solution design by documenting model inputs/outputs, decision points, human-in-the-loop steps, and integration patterns (e.g., APIs, event streaming, batch pipelines). • Partner with data and AI/ML teams on model lifecycle needs: training/validation data requirements, evaluation criteria, monitoring requirements (e.g., drift, performance), and operational handoffs. • Collaborate with risk, privacy, security, and compliance stakeholders to capture AI-related controls and governance requirements (e.g., data handling, model transparency/explainability expectations, escalation paths). • Analyze the lifecycle of financial transactions (e.g., checks, wires, ACH), tracking data generation, transformation, and consumption to support analytics and AI use cases. • Gain proficiency in data ingestion tools (e.g., Qlik Replicate) and streaming platforms (e.g., Kafka) and help define requirements for reliable, scalable data movement. • Execute and present written and verbal business systems impact analyses that identify high-impact, systemic solutions. • Help reinforce Business Systems Analyst principles and practices across the team (standards, templates, requirement quality, and test readiness). Role requirements: • Minimum 3 years of experience designing and implementing functional systems and structured data processes. • Bachelor's degree required; emphasis in Computer Science or MIS preferred (or equivalent work experience). • Experience translating requirements for data engineering, integrations, and/or analytics solutions. • Proven experience as a Business Systems Analyst or Business Analyst in data- and platform-intensive environments. • Experience supporting AI/ML-enabled products (or strong interest in learning), including model lifecycle considerations, evaluation, and monitoring. • Ability to design new business processes and data usage patterns that improve efficiency and control. • Ability to quickly grasp complex business processes and data relationships and turn them into clear, testable requirements. • Experience or willingness to learn data replication (Qlik Replicate) and streaming technologies (Kafka). • Strong skills in Microsoft Office to create working prototypes; ability to learn evolving reporting and analytics platforms (e.g., Tableau and other BI tools). • Excellent communication skills, with the ability to convey technical concepts (data, integrations, AI behavior/limitations) to non-technical stakeholders. • Familiarity with financial transactions (e.g., ACH, wires, checks) is a plus. Best Regards: Bindu M Phone: Email: