Jitin Dammu

• Led end-to-end requirements gathering for CMS Quality Payment Program (QPP) initiatives including MIPS, APMs, and eCQM reporting, collaborating with CMS stakeholders, providers, and product owners to define 250+ business and functional requirements.

• Analyzed 1.2M+ provider submission records (claims, registry, and EHR data) to identify performance gaps, data anomalies, and eligibility issues impacting MIPS scoring and payment adjustments.

• Facilitated Agile ceremonies (Sprint Planning, Backlog Grooming, Daily Stand-ups, Retrospectives) for a cross-functional team of 12+, improving sprint velocity by 28% and reducing backlog spillover by 35%.

• Authored and managed BRDs, FRDs, User Stories, Epics, and Acceptance Criteria in Jira & Confluence, ensuring 100% traceability using RTM across regulatory and technical deliverables.

• Partnered with data engineering teams to design ETL mappings and data pipelines integrating provider data from EHRs, Claims systems, Registry feeds, and CMS data warehouses into reporting platforms.

• Built advanced SQL and Python data validation scripts to reconcile provider submissions, improving data accuracy by 32% and reducing reporting defects in production releases.

• Developed Power BI & Tableau dashboards to visualize MIPS quality scores, cost measures, and improvement activities, enabling CMS leadership to track national provider performance trends.

• Conducted UAT coordination and defect triage, validating scoring logic, measure calculations, and payment adjustment workflows; reduced UAT defect leakage by 40% pre-production.

• Acted as Scrum Master proxy, removing delivery blockers, managing cross-vendor dependencies, and ensuring adherence to SAFe Agile release trains and PI planning cycles.

• Performed regulatory impact analysis on CMS rule changes (Final Rule, Interim Rule updates), translating federal policy into system enhancements and provider reporting workflows.

• Collaborated with DevOps teams to support CI/CD deployments via Azure DevOps, validating release artifacts, test coverage, and rollback strategies across multiple QPP reporting environments.

• Delivered provider outreach analytics and submission readiness reports that helped increase on-time reporting compliance by 22% and minimized negative Medicare payment adjustments.

• Led requirements gathering and stakeholder workshops for Kroger’s Feed Gateway platform, onboarding 40+ vendor and marketplace product feeds into centralized retail data ecosystems.

• Analyzed high-volume product catalog datasets (5M+ SKUs) including pricing, inventory, promotions, and digital assets to ensure feed accuracy across Kroger.com and partner marketplaces.

• Authored BRDs, FRDs, Epics, and 300+ User Stories in Jira, defining feed ingestion rules, transformation logic, and downstream distribution workflows for digital commerce systems.

• Designed and documented end-to-end data mapping and ETL specifications for supplier feeds (XML, JSON, EDI, flat files), improving ingestion success rates by 38%.

• Built complex SQL validation queries to monitor feed completeness, attribute standardization, and taxonomy alignment, reducing catalog data defects by 31%.

• Facilitated Agile ceremonies as Scrum Master, managing sprint delivery for a 10+ member team; improved sprint predictability and reduced carry-forward work by 26%.

• Partnered with product, merchandising, and digital marketing teams to define promotion feed logic, enabling real-time price updates and improving campaign accuracy by 22%.

• Developed Tableau and Power BI dashboards tracking feed latency, processing failures, vendor SLA adherence, and catalog freshness KPIs for leadership reporting.

• Coordinated UAT and SIT testing for feed onboarding releases, validating transformation rules, schema compliance, and API integrations; reduced post-production defects by 35%.

• Worked with cloud and data engineering teams to support AWS-based feed pipelines (S3, Glue, Lambda), ensuring scalable ingestion and automated feed orchestration.

• Performed root cause analysis on feed failures (format mismatches, missing attributes, taxonomy errors), driving remediation workflows that improved feed reliability to 99.2% uptime.

• Led vendor onboarding analytics and feed readiness assessments, accelerating new supplier go-live timelines by 30% and expanding digital assortment coverage.

• Led requirements discovery and stakeholder alignment for Google Food Ordering integrations (restaurants, aggregators, POS partners), defining 200+ business and functional requirements across Search, Maps, and Assistant ordering journeys.

• Analyzed real-time consumer search and ordering behavior datasets in BigQuery, processing 500M+ query and clickstream records to identify ranking gaps and conversion drop-off points.

• Partnered with Search Engineering to refine Core Search ranking signals for food ordering intents, improving order conversion rates by 18% and reducing search-to-order latency.

• Authored Epics, Features, and User Stories in Jira & Google Issue Tracker, ensuring traceability across Search UI, ranking models, and partner onboarding pipelines.

• Built scalable data pipelines using Pub/Sub, Dataflow, and Cloud Composer, enabling near real-time ingestion of restaurant menus, pricing, availability, and delivery estimates.

• Performed deep-dive data analysis using SQL, Python, and BigQuery ML, identifying personalization and geo-intent optimization opportunities that improved search relevance scores by 21%.

• Developed executive dashboards in Looker & Looker Studio, visualizing KPIs such as search CTR, order funnel conversion, partner SLA adherence, and menu data freshness.

• Facilitated Agile ceremonies as acting Scrum Master for a 14-member cross-functional pod, improving sprint velocity by 25% and reducing production defect escape rate.

• Conducted A/B experimentation analysis using Google’s experimentation frameworks, measuring ranking algorithm changes and UI enhancements impacting food ordering engagement.

• Collaborated with ML teams leveraging Vertex AI to analyze recommendation models for cuisine, restaurant, and dish-level personalization across Search and Maps.

• Led UAT and production validation for API integrations between Google platforms and partners (DoorDash, Uber Eats, Toast POS, etc.), ensuring menu accuracy and order routing integrity.

• Executed root cause analysis on live production issues using Cloud Logging, Cloud Monitoring, and Error Reporting, reducing order failure incidents by 29%.

• Assisted senior business analysts in gathering and documenting business requirements for enterprise IT infrastructure and e-governance digital transformation projects across state and public sector clients.

• Participated in stakeholder meetings and workshops to capture functional needs, translating them into BRDs, FRDs, and process flow diagrams using Visio and Confluence.

• Supported data analysis on infrastructure asset records (50K+ device inventory including desktops, servers, and network units) to validate deployment, utilization, and lifecycle tracking.

• Created and maintained requirement traceability matrices (RTM) ensuring alignment between client requirements, technical design, and UAT test scenarios.

• Worked with development and infrastructure teams to document system integration workflows between hardware monitoring tools, ticketing systems, and reporting dashboards.

• Built SQL queries and Excel data models to analyze service desk tickets, incident trends, and SLA breaches, helping improve resolution turnaround time by 18%.

• Assisted in preparing UAT test cases, test scripts, and validation reports, supporting successful rollout of IT service management (ITSM) modules.

• Coordinated defect tracking and resolution follow-ups using Jira and ServiceNow, ensuring production issues were logged, prioritized, and resolved within SLA timelines.

• Facilitated Agile team ceremonies including daily stand-ups, sprint reviews, and retrospectives as a Junior Scrum facilitator, improving team coordination and delivery visibility.

• Developed operational dashboards in Power BI and Excel to track infrastructure uptime, ticket volumes, and engineer performance KPIs for project leadership.

• Conducted root cause analysis on recurring system incidents and prepared process improvement recommendations that reduced repeat tickets by 15%.

• Collaborated with cross-functional teams (network, database, application support) to support deployment documentation, release notes, and knowledge transfer artifacts.