Senior Business Analyst | Product Owner | AI Product & Technical Delivery | Agentic AI & RAG Systems | Product Strategy & Requirements Engineering | SAFe 6.0 Practitioner

Bengaluru

Gurugram
Bengaluru

Noida
Noida







Bachelor of Technology - BTech, Information Technology
Dr. A.P.J. Abdul Kalam Technical University

Master of Business Administration - MBA, E-Business (International Business)
Welingkar Institute of Management
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Download Tal BossSenior Business Analyst | Product Owner | AI Product & Technical Delivery | Agentic AI & RAG Systems | Product Strategy & Requirements Engineering | SAFe 6.0 Practitioner
I am a Senior Business Analyst and Product Owner focused on turning complex business problems into clear product strategies, executable requirements, and AI-enabled enterprise solutions. At Quantiphi, I lead requirements discovery and product delivery for Qatar Airways’ AI-enabled booking platform. I work with Product, Engineering, ML, and Solution Architecture teams to shape product strategy, define business and functional requirements, prioritize capabilities, and translate customer and behavioral insights into an actionable roadmap. I identified Flight Search as a strategic entry point for the platform’s agentic architecture and helped sequence later AI sub-agents. I define requirements for RAG-based workflows, agent behavior, business rules, validation, evaluation criteria, error handling, and governance, keeping AI capabilities aligned with business objectives. My Product Owner experience includes translating strategy into epics, features, user stories, acceptance criteria, product goals, and prioritized backlogs. I support WSJF/RICE prioritization, PI Planning, ART Sync, stakeholder alignment, and delivery governance. I work closely with Engineering and Architecture to keep product decisions practical, traceable, and ready for implementation. I bring strong experience in product discovery, hypothesis validation, behavioral analytics, roadmap planning, MVP definition, and continuous refinement. In the automotive sector, I led business analysis and delivery for enterprise analytics platforms serving Audi, Volvo, Mercedes-Benz, and BMW. I worked across Customer, Parts, Sales, Service, Invoice, Vendor, and Service IQ data domains, supporting large client data flows and business reporting. I delivered Power BI and Tableau revenue-benchmarking solutions and supported reporting for market share, revenue, service, and operational performance. I also worked with AWS S3, data lake environments, PostgreSQL, MySQL, JSON/XML data, and data validation and governance processes. My broader experience spans AI, SaaS, automotive, aerospace, and BFSI. I am a SAFe 6.0 Practitioner with a focus on requirements engineering, product ownership, enterprise transformation, AI/LLM requirements, RAG pipelines, agentic AI workflows, data platforms, and scalable technology solutions. My focus is simple: build the right product, solve the right problem, and create measurable business value through strong product thinking, disciplined analysis, and close partnership with delivery teams. Let’s connect if you build AI products or solutions.
Bengaluru
anthropic apis
antigravity
claude code
claude
gemini
grok
Senior Business Analyst at Quantiphi, Jun 2026 - Present · 5 mos, Bengaluru, • Contributed to MVP strategy, Agentic System Design, and product roadmap definition for an Agentic AI airline booking platform in collaboration with Google and Qatar Airways Product Managers. Translated behavioral insights and validated hypotheses for Gemini Live API (STT, TTS, TTV) into functional specifications and a phased AI-agent roadmap across Flight Search, Booking Orchestration, and Ancillary Services, progressing 3+ downstream AI sub-agents through TDD and FDD phases. • Developed business objectives, functional and non-functional requirements, governance requirements, and evaluation criteria in Azure DevOps for a RAG-based Q-Search workflow integrating 5+ knowledge sources. Defined LLM interaction rules, error-handling scenarios, and validation criteria, with evaluation demonstrating 100% behavioral consistency across test scenarios. • Collaborated with ML Engineering and Solution Architecture to define AI sub-agent identities, behavioral rules, and business requirements. Contributed to a standardized agent design and governance framework that successfully passed security review and supported consistent and controlled agent development. • Translated business and product requirements into Azure DevOps Epics, Features, User Stories, and Acceptance Criteria for an Agentic NLP chatbot. Applied WSJF/RICE prioritization and supported PI Planning and ART Sync to align product priorities, dependencies, and cross-functional delivery. • Worked with product, engineering, architecture, and other cross-functional stakeholders to clarify requirements, identify dependencies, support delivery planning, and maintain alignment between business objectives and AI product development.
Associate Business Analyst at NITS Solutions, May 2024 - May 2026 · 2 yrs 1 mo, Gurugram, Supported delivery across Audi, Volvo, BMW, and Mercedes-Benz automotive accounts, working with a cross-functional team of 17+ professionals across business, product, engineering, architecture, QA, and operations. Worked with large automotive data files across key business domains, including Invoice, Parts, Vendors, Services, Customers, Sales, and Service, supporting analytics and reporting requirements for Audi, Volvo, Mercedes-Benz, and BMW. Processed client data in JSON/XML formats stored in AWS S3, documented field mappings, and performed data validation in PostgreSQL for Audi AIQ and MySQL for Mercedes-Benz CRM. Supported data and reporting logic across sales, service, customer, revenue, parts, and invoice performance. Developed and delivered Power BI and Tableau revenue-benchmarking reports for Audi and Volvo AIQ products, tracking retailer-level market share and revenue performance against prior-year benchmarks for client-facing business reviews. Supported Agile delivery activities for an agentic NLP CRM chatbot initiative, including WSJF, RICE, ROAM, PI Planning, and RAID practices. Supported requirements and delivery coordination across product and technology stakeholders to align priorities, dependencies, risks, and delivery activities. Created mockups and wireframes in Axure RP to communicate solution concepts and support CTO review and approval. Contributed to requirements analysis, data validation, field-level checks, documentation, and stakeholder discussions to maintain consistency between source data, business requirements, reporting logic, and analytical outputs.
Senior US IT recruiter at Sunrise Systems, Inc., Dec 2023 - Apr 2024 · 5 mos, Bengaluru, Managed end-to-end US IT recruitment for AI-focused technical roles, including AI Project Manager, AI Specialist, and AI Engineer positions, supporting enterprise clients such as AstraZeneca, Merck, and AmerisourceBergen. Managed recruitment activities across multiple concurrent searches, from requirement understanding and candidate identification through screening, submission, interview coordination, follow-up, and closure. Prepared RFI, RFQ, and RFP documentation for open requisitions, ensuring requirements, role details, and resource needs were clearly documented and aligned with client expectations. Built and maintained hiring pipelines against approved budget allocations, balancing resource availability, role priorities, candidate fit, and hiring timelines. Reviewed resumes and evaluated candidates against technical skills, experience, role requirements, location, availability, and client expectations before submission. Coordinated with recruiters, account managers, candidates, and client stakeholders to maintain clear communication and timely movement of profiles through the hiring process. Tracked candidate status, submissions, interviews, feedback, and next steps while maintaining recruitment records. Prioritized requirements, managed multiple candidate pipelines simultaneously, and supported resource planning to help meet client hiring objectives. Maintained consistent follow-up with candidates and stakeholders to reduce delays and improve interview and closure turnaround. Applied a structured, client-focused approach to technical recruitment while maintaining attention to detail, submission quality, budget alignment, and delivery timelines. This experience strengthened expertise in AI & IT staffing, technical candidate evaluation, RFI/RFQ/RFP documentation, pipeline management, resource planning, and end-to-end recruitment coordination for enterprise hiring.
Senior US IT Recruiter at opusing private limited, Aug 2023 - Oct 2023 · 3 mos, Noida, Managed end-to-end US IT technical recruitment for enterprise clients, including Volvo, General Motors, Apple, Meta, Southern California Edison, and Boeing. Sourced, screened, qualified, and presented technical candidates based on role requirements, skills, experience, location, work authorization, and client expectations. Used JobDiva, Dice, CareerBuilder, and Monster to identify and manage candidate pipelines, maintain accurate records, track submissions, and support timely hiring activity. Reviewed resumes and assessed candidate profiles against technical job descriptions to determine role alignment and shortlist qualified professionals. Coordinated direct candidate submissions to clients and supported the hiring process from initial sourcing and screening through interview coordination, feedback follow-up, offer discussions, and joining. Worked closely with recruiters, account managers, candidates, and client stakeholders to maintain clear communication, resolve hiring-related issues, and keep recruitment activities on schedule. Managed multiple open positions and candidate pipelines simultaneously, while maintaining attention to detail, submission quality, and turnaround time. Ensured candidates were accurately represented and aligned with client requirements before submission. Maintained consistent follow-up throughout the recruitment lifecycle to improve candidate engagement, support interview progress, and reduce delays in the hiring process. This experience strengthened expertise in US IT staffing, technical candidate evaluation, client-focused recruitment, pipeline management, and end-to-end coordination across enterprise hiring engagements. Additionally, prioritized urgent requirements, tracked submissions, maintained follow-ups, and coordinated interviews to help clients meet hiring timelines while maintaining a consistent recruitment process across roles.
Senior US IT Recruiter at Eteam Informatica India Private Limited, Apr 2023 - Jul 2023 · 4 mos, Noida, Managed end-to-end US IT technical recruitment for enterprise clients including Apple, Meta, Southern California Edison, and Boeing, using JobDiva, Dice, CareerBuilder, and Monster. Screened candidates against technical requirements and coordinated direct submissions through the full hiring lifecycle.
Bachelor of Technology - BTech, Information Technology, Dr. A.P.J. Abdul Kalam Technical University
Master of Business Administration - MBA, E-Business (International Business), Welingkar Institute of Management