Naveera Technology LLC

SDET

• Architect and implement AI-powered automation solutions using Large Language Models (LLMs), AI Agents, and Agentic Workflows.
• Design autonomous and human-in-the-loop agent systems for planning, reasoning, and task execution.
• Build multi-agent architectures integrating enterprise applications, APIs, databases, SaaS platforms, and business processes.
• Implement Retrieval-Augmented Generation (RAG), Browser Agents, and MCP-based or Skill based integrations.
• Design scalable workflow orchestration solutions using platforms such as n8n, Zapier, and custom automation frameworks.
• Integrate AI agents into operational and business workflows with reusable automation patterns and best practices.
• Design scalable cloud-native and event-driven architectures for AI automation platforms.
• Establish standards for security, reliability, maintainability, and operational excellence.
• Collaborate across engineering and business teams to deliver enterprise-grade solutions.
• Implement end-to-end monitoring, tracing, logging, and auditability for AI agents and automation workflows.
• Drive performance optimization, cost management, incident analysis, and operational governance.
• Ensure compliance, security, and responsible AI practices.
• Build feedback loops and evaluation frameworks to improve agent performance and accuracy.
• Optimize prompts, workflows, and decision-making using telemetry, analytics, and user feedback.
• Drive continuous platform enhancement through measurement, experimentation, and automation.

AI Automation Architect – N8N, Zapier, OpenAI, Anthropic

• Architect and implement AI-powered automation solutions using Large Language Models (LLMs), AI Agents, and Agentic Workflows
• Design autonomous and human-in-the-loop agent systems for planning, reasoning, and task execution
• Build multi-agent architectures integrating enterprise applications, APIs, databases, SaaS platforms, and business processes
• Implement Retrieval-Augmented Generation (RAG), Browser Agents, and MCP-based or Skill based integrations
• Design scalable workflow orchestration solutions using platforms such as n8n, Zapier, and custom automation frameworks
• Integrate AI agents into operational and business workflows with reusable automation patterns and best practices
• Design scalable cloud-native and event-driven architectures for AI automation platforms
• Establish standards for security, reliability, maintainability, and operational excellence
• Implement end-to-end monitoring, tracing, logging, and auditability for AI agents and automation workflows

Product Manager

• Enable Data Across Products • Partner with Product Managers to define what success looks like for each product and feature — the metrics, instrumentation, and data requirements needed to measure outcomes.
• Ensure data considerations are included in discovery, design, and delivery stages for all product initiatives.
• Collaborate closely with engineering and analytics to align event tracking, schema design, and system integrations.
• Build frameworks and best practices that improve how product teams plan, track, and learn from data.
• Act as a bridge between business, analytics, and technology teams to ensure the right data is available for decision-making.
• Strengthen Data Governance • Establish consistent definitions and taxonomies for key product and business metrics.
• Partner with data engineering and analytics teams to improve data quality, completeness, and lineage
• Introduce standards for data documentation, ownership, and change management.
• Drive cross-functional adoption of shared data assets, dashboards, and tools.
• Promote a culture of data stewardship across teams.
• Drive Data-Driven Decision Making • Create visibility into how products perform through reliable reporting and metrics dashboards.
• Work with operations, customer success, finance, and product leadership to ensure business decisions are informed by accurate, consistent data.
• Lead post-launch reviews and experimentation analysis to quantify impact and guide iteration towards adoption and optimized results.
• Identify opportunities to automate insight generation or embed analytics into the product experience.
• Prepare for Future Data Products & AI • Collaborate with product and engineering leaders to identify opportunities where data can enhance the customer experience through benchmarks, insights, or predictive recommendations.
• Develop a long-term vision for data and AI readiness, including the infrastructure, quality, and processes required to support intelligent features.
• Partner with design and engineering to prototype and validate data-powered capabilities that create measurable value.

Senior Data Product Manager, HealthCare – RCM

Business Analyst

• Gather, analyze, and translate business requirements into functional and technical data solutions.
• Work closely with customers, business teams, product managers, and technical stakeholders to deliver analytics and reporting solutions.
• Analyze complex business processes within Healthcare, Insurance, and Revenue Cycle Management (RCM) environments and identify opportunities for process improvement and automation.
• Design and support Data Warehouse, ETL/ELT, and Business Intelligence initiatives.
• Build dashboards, reports, and visualizations using Tableau, Power BI, Cognos, and AWS QuickSight.
• Collaborate with Data Engineering teams on AWS, Snowflake, Redshift, S3, DBT, and modern cloud data platforms.
• Perform data analysis, profiling, validation, and reconciliation using SQL, Python, R, Spark SQL, Pandas, NumPy, and PL/SQL.
• Support data governance, data quality, compliance, and reporting requirements.
• Participate in client workshops, discovery sessions, requirement gathering, solution demonstrations, and executive reviews.
• Create business requirements documents (BRD), functional specifications, data mapping documents, KPI definitions, and reporting specifications.
• Drive insights and recommendations through advanced analytics and business intelligence solutions.
• Support Healthcare and Insurance reporting initiatives involving Claims, Member Data, Provider Data, Revenue Cycle Management, Billing, Coding, Collections, Denials, and Financial Tasks.

Lead Data Business Analyst – HealthCare, RCM

Software Engineer

• Collaborate with business stakeholders, analysts, and project leads
• Translate business needs into technical specifications and data models
• Design and develop interactive Qlik Sense dashboards and reports
• Install, configure, and manage Qlik Sense Enterprise environments
• Write complex SQL queries and procedures to analyze large datasets

QlikSense Developer, Admin – NPrinting

• Design and drive scalable automation frameworks across backend systems, web platforms, APIs, and enterprise workflows.
• Focus on protocol-level automation, API validation, modern browser automation, distributed systems, and enterprise process automation.
• Architect and build scalable automation frameworks for APIs, backend services, web applications, and enterprise workflows.
• Design protocol-level automated testing using direct HTTP/API interactions.
• Develop robust UI automation frameworks using Playwright.
• Build and maintain automation solutions for business and operational workflows using RPA tools where applicable.
• Validate asynchronous workflows, distributed systems, and event-driven architectures.
• Implement schema, contract, and payload validation for REST/GraphQL APIs.
• Integrate automation suites into CI/CD and containerized environments.
• Build reusable automation utilities, reporting frameworks, and orchestration systems.
• Drive observability, failure analysis, and reliability validation strategies.
• Collaborate with engineering and business teams to improve release quality, operational efficiency, and automation coverage.

RPA Automation Architect – UiPath, Playwright

• Develop, maintain, and optimize LookML models, explores, and dashboards in Looker.
• Work directly with business stakeholders and customers to gather requirements and translate them into analytics solutions.
• Lead requirement discussions and clarify ambiguous business needs.
• Design scalable data models and KPI-driven reporting solutions.
• Collaborate with Data Engineers, Analysts, and Cloud teams for end-to-end analytics delivery.
• Create structured documentation for business requirements, KPI definitions, and technical implementations.
• Ensure data quality, consistency, and performance optimization across dashboards and reports.
• Support customer-facing discussions, demos, and solution walkthroughs.
• Work with cloud-based data platforms and modern data warehouse solutions.
• Participate in Agile ceremonies including sprint planning, stand-ups, and retrospectives.

Associate Looker, LookML Developer

Junior Looker, LookML Developer

Data Analyst

• Gather, analyze, and document business requirements from stakeholders across multiple business functions.
• Develop and maintain Business Intelligence dashboards, reports, and visualizations using Tableau, Power BI, QuickSight, or Cognos.
• Perform data analysis to identify trends, business opportunities, operational gaps, and performance improvements.
• Define, track, and monitor KPIs and business metrics to support strategic objectives.
• Collaborate with Data Engineering, Product, Program, and Business teams to deliver analytics and reporting solutions.
• Conduct root cause analysis and provide data-driven recommendations for business challenges.
• Support healthcare analytics, pricing analysis, operational reporting, and business performance initiatives.
• Build and optimize SQL queries for data extraction, validation, and reporting purposes.
• Ensure data governance, data quality, security, and compliance standards are maintained.
• Drive reporting automation and process optimization initiatives to improve efficiency and productivity.
• Prepare executive dashboards, presentations, and analytical insights for leadership teams.
• Participate in Agile ceremonies, stakeholder meetings, sprint planning, and requirement discussions.

Data Business Analyst – Data Analytics, AWS/GCP

Looker Developer, LookML

Procurement

• Connect Naveera with procurement, vendor management, sourcing, and business leadership teams for potential vendor onboarding opportunities.
• Facilitate introductions and strategic discussions with enterprise stakeholders evaluating AI, Data Engineering, Cloud, Analytics, or IT services partners.
• Support initial partnership conversations and help align Naveera’s capabilities with enterprise procurement and compliance requirements.
• Coordinate with internal procurement, sourcing, and vendor governance teams to accelerate vendor registration and onboarding processes.
• Enable long-term strategic partnerships that create opportunities in staffing, project delivery, managed services, and digital transformation initiatives.

Chief Procurement Officer

Lead Generation

• Identify and generate qualified enterprise leads in the US market
• Build a consistent pipeline across AI, Data Engineering, and Cloud services
• Execute cold outreach via LinkedIn, email campaigns, and calls
• Initiate conversations and schedule discovery meetings
• Qualify prospects based on need, budget, and project scope
• Maintain a steady flow of sales-qualified opportunities (SQLs)
• Track outreach, responses, and meetings using structured methods (CRM or trackers)
• Collaborate with internal teams for handover and deal progression
• Promote Naveera’s capabilities in AI/ML & Generative AI, Data Engineering & Modern Data Stack, Cloud & Data Modernization

Part-Time Lead Generation & Growth Consultant

Data Engineer

• Lead Generation & Prospecting
• Build and maintain a strong pipeline of enterprise prospects
• Manage outbound sales efforts
• Schedule and conduct discovery calls with decision-makers
• Own end-to-end sales cycle from lead generation to deal closure
• Build long-term client relationships
• Achieve monthly/quarterly lead generation and revenue targets
• Stay updated on enterprise AI, data engineering, and cloud trends

AI Automation Architect – N8N, Zapier, OpenAI, Anthropic

AI Automation Architect – N8N, Zapier, OpenAI, Anthropic

Senior Data Product Manager, HealthCare – RCM

Lead Data Business Analyst – HealthCare, RCM

QlikSense Developer, Admin – NPrinting

RPA Automation Architect – UiPath, Playwright

Associate Looker, LookML Developer

Junior Looker, LookML Developer

Data Business Analyst – Data Analytics, AWS/GCP

Associate Looker, LookML Developer

Looker Developer, LookML

Chief Procurement Officer

Chief Procurement Officer

Part-Time Lead Generation & Growth Consultant

Enterprise Sales Consultant – Enterprise AI, Data Engineering