Senior AI Program Manager & GenAI Delivery Leader

SAI SAKETH BAVISETTI

New York +1-279-***-**** ******************@*****.*** LinkedIn Portfolio PROFESSIONAL SUMMARY

AI Program and Project Manager with 6+ years delivering AI, ML, and generative AI initiatives end to end across healthcare and technology teams. Leads Agile and Scrum delivery, managing timelines, budgets, risks, dependencies, and vendors from strategy through deployment and adoption. Drives cross-functional collaboration across business, product, data science, and engineering, defining KPIs and governing program outcomes. Applies SQL, Python, Power BI, and Tableau to track results and steer data-driven program decisions. CORE COMPETENCIES

Program & Project Management: Program Delivery, Project Planning, Roadmap Planning, Timelines & Budgets, Risk/Issue/Dependency Management, Delivery Governance, Agile/Scrum, Sprint Planning, Backlog Management, Change Management, Process Improvement, SDLC AI/ML & Product Delivery: AI/ML Program Delivery, Generative AI Initiatives, Product Delivery, Requirements Prioritization, A/B Testing, Experimentation, KPI Definition & Tracking, Business Outcomes, Adoption & Deployment Stakeholder & Vendor Management: Stakeholder Alignment, Vendor Management, Executive & Leadership Communication, Cross-Functional Collaboration, Program Status Reporting, Training & Adoption, SOPs Data & Analytics: SQL, Python, Data Validation, Data Quality, Data Governance, Dashboard Development, Reporting, Compliance Reporting, Trend & Variance Analysis, Self-Serve Reporting (Power BI, Tableau, Excel) Domain, Tools & Platforms: Healthcare / Public Health, Jira, Confluence, Git, SharePoint, MS Smartsheet, SAP, Oracle, NetSuite, AWS, Unity, Microsoft Office Suite, Google Workspace

PROFESSIONAL EXPERIENCE

RED Lab, San Francisco State University May 2026 - Present Senior AI Program Manager & Business Analyst San Francisco, CA (USA)

• Led end-to-end AI build delivery with faculty and engineering stakeholders, translating cross-functional needs into scoped specs.

• Mapped As-Is and To-Be workflows for AI and VR/AR builds, redesigning steps to cut redundancy and match the target system states.

• Governed the AI build backlog in Jira, triaging change requests and running Scrum ceremonies to sequence sprints with engineers.

• Authored PRDs, user stories, and acceptance criteria in Confluence, documenting user flows, KPIs, and success metrics for builds.

• Analyzed user and product data in SQL and Python, surfacing pre-build insights that shaped feasibility and roadmap priorities.

• Built Power BI dashboards tracking program KPIs and adoption, delivering decision-ready reporting to faculty and cross-team peers.

• Tested AI and VR/AR feature variants via A/B experiments, gauging engagement to prioritize the highest-impact program direction.

• Coordinated Unity feature builds with engineers, logging UAT defects and test results to confirm releases met acceptance criteria. San Francisco State University Jan 2024 - Dec 2025 Graduate Research Assistant San Francisco, CA (USA)

• Engineered a conversational AI prototype on labeled NLP data, lifting response accuracy through prompt tuning and model tweaks.

• Mentored students one-on-one on technical concepts, translating complex AI material into clear guidance for non-technical peers.

• Taught multimodal generation and LLM output evaluation, covering diffusion, GANs, VAEs, and bias and hallucination mitigation.

• Demonstrated generative AI workflows, instructing API integration, AI-assisted code generation, and testing with Hugging Face. New York State - Department of Health Jul 2024 - Dec 2024 IT Project Manager Intern Albany, NY (USA)

• Captured reporting needs from deputy chiefs and county leads in Jira and Confluence, scoping submission gaps to a ranked backlog.

• Diagnosed prescriber drop-off via a SurveyMonkey study and interviews, analyzing responses in Excel to isolate 4 entry blockers.

• Owned the backlog and ran sprint ceremonies in Jira over 9 cycles, filing specs in SharePoint to align stakeholders and engineers.

• Charted As-Is and To-Be submission workflows in Confluence, cutting the entry path from 9 steps to 5 to cut prescriber friction.

• Investigated 28M+ records in SQL, Python, and Tableau, surfacing 15+ recurring completeness gaps that flagged failed submissions.

• Streamlined access by ending forced password resets and extending session limits per NIST, lifting login success from 68% to 89%.

• Instrumented Tableau views capturing dispensing data to track controlled-substance distribution across 62 counties for oversight.

• Piloted the redesign in phased regions, then shipped SharePoint SOPs and go-live training that raised submissions from 63% to 84%. Conduira EdTech Aug 2022 - Jul 2023

Business Operations Analyst Visakhapatnam, AP (IND)

• Drove business analysis for student-lifecycle systems in SQL and Tableau, building reporting layers for 3 cross-functional teams.

• Managed process-change requests in Jira, gathering requirements and converting business needs into clear fixes for 3 ops teams.

• Produced reports and dashboards in Tableau and Excel, communicating findings via visualizations that cut decision time by 62%.

• Optimized SQL reporting workflows through process improvements, cutting monthly turnaround 32% and saving $52K in annual cost.

• Validated client and program-feedback data in SQL, resolving service-delivery issues that lifted satisfaction 40% across teams. Google Jun 2022 - Aug 2022

Analytics Engineer (Marketing/Growth) Intern Hyderabad, TS (IND)

• Consolidated marketing analytics in SQL and Tableau, building reporting layers that served 10 finance and growth partner teams.

• Standardized KPI definitions and exception rules, aligning cross-functional teams on outputs and reducing reporting disputes 78%.

• Examined engagement and conversion patterns in Python, validating outputs against source data for finance and growth partners. Toylelo May 2020 - Apr 2022

Program Manager Hyderabad, TS (IND)

• Operated end-to-end P&L in Excel, tracking budget-versus-actuals variance while scaling 0 to 100K in revenue across 100+ SKUs.

• Structured a 40-person operations team by setting workflows, SLAs, and accountability frameworks, achieving a 95% adherence rate.

• Implemented JIT inventory systems, cutting stockouts 20%, excess inventory 25%, and lifting fill rate 20% across all SKU lines.

• Negotiated procure-to-pay terms across a 15-vendor ecosystem, reducing landed costs 12% and improving delivery reliability 18%.

• Launched a full-funnel growth program, aligning paid media and conversion strategy to drive 25% lift and 2.3x ROAS on $50K spend. Hindustan Petroleum Corporation Limited Apr 2019 - Apr 2020 Product Analyst Visakhapatnam, AP (IND)

• Forecasted LPG demand via ARIMA models, raising prediction accuracy 28% and cutting supply shortages 20% across 3 supply regions.

• Segmented distributors by stockout risk using Random Forest and XGBoost, triggering proactive reorders in peak subsidy windows.

• Benchmarked forecasting algorithms via iterative testing, proving ARIMA beat baseline methods and documenting selection rationale.

• Automated manual stock reviews into Power BI dashboards merging model outputs and KPIs, moving managers to data-driven decisions.

• Verified ERP-sourced inventory across 3 regions, building staging workflows that secured KPI integrity before reporting handoff.

• Profiled subsidized LPG spend to surface inefficiencies, reducing excess stock 15% and informing vendor benchmarks and allocation.

• Embedded data workflows across IBM infrastructure and SAP S/4HANA during Project Aarohan, a major brownfield oil and gas rollout. EDUCATION

San Francisco State University Jan 2024 - Dec 2025 Master of Science, Data Science & Artificial Intelligence San Francisco, CA PROJECTS

ScholarEats - Full-Stack Resource Optimization Platform GitHub Tech Stack: Node.js, Express.js, MySQL, AWS EC2, Handlebars.js Delivered a full-stack platform serving 200K+ end-users, gathering requirements from admins and mapping As-Is to To-Be workflows; architected AI-driven recommendation logic and AWS EC2 infrastructure with documented system integration and user flows. Gator Guide (Alli) - Production Conversational AI Assistant GitHub Tech Stack: React.js, Python, FastAPI, PostgreSQL, pgvector, LangChain, Redis, Docker Shipped a production AI assistant for university stakeholders, scoping requirements and designing a validation framework; engineered FastAPI services and dual-source API integration with anti-hallucination checks and documented citation logic for end-user trust. DataLens - Conversational Data Visualization Assistant GitHub Tech Stack: React.js, Python, Flask, SQLite, OpenAI GPT-4 API, LangChain, Plotly, D3.js Created an AI assistant that ingests user datasets, applies GPT-4 natural language understanding to auto-generate interactive visualizations, and returns conversational data insights with full chart customization for self-serve analysis.

Contact this candidate