Brillio

Data Analyst

• Lead experimentation strategy: Design, execute, and analyze A/B tests and quasi-experiments to evaluate product and feature impact on engagement, retention, and customer satisfaction.
• Drive product insights: Conduct deep-dive analyses on user journeys, onboarding funnels, feature adoption, and retention cohorts to identify growth and optimization opportunities.
• Define and operationalize metrics: Establish north-star metrics, KPIs, and guardrails; ensure consistent definitions across teams and dashboards.
• Enable product decision-making: Translate complex analyses into clear, actionable recommendations for product roadmaps and prioritization.
• Improve data foundations: Partner with data engineering and platform teams to ensure high-quality telemetry, scalable data models, and reliable reporting layers.
• Leverage advanced analytics: Apply statistical techniques (segmentation, cohort analysis, regression, causal inference) to uncover drivers of user behavior and product performance.
• Collaborate cross-functionally: Work closely with Product Managers, Designers, and Engineers to embed analytics into the product development lifecycle.
• Mentor and elevate analytics practices: Guide analysts on experimentation design, metric definition, and storytelling best practices.
• Communicate effectively: Deliver clear, compelling insights to stakeholders and leadership through dashboards, presentations, and narratives.

Lead Data Analyst

Client Partner

• Establishing and managing client relationship at all levels
• Establishing and building "trust" and leverage client context by understanding client's overall business goals and culture
• Positioning Brillio as a Strategic IT partner and identify new avenues for Brillio to partner, implement and deliver within the account.
• Managing the account P&L & high-level delivery responsibility
• Mapping Brillio’ s capabilities and solutions to client’s requirements
• Build newer relationships with one of the marquee Fortune 1000 customers.

Client Partner, Hitech

Affiliate Manager

• Develop and execute a strategic alliance plan focused on leveraging technologies to drive mutual business objectives
• Identify key areas of collaboration and opportunities for joint solution development
• Cultivate and maintain strong relationships with partner managers, solution architects, and other relevant stakeholders
• Serve as the primary point of contact between the company and the alliances, facilitating effective communication and collaboration
• Monitor industry trends, competitive landscape, and emerging technologies in the partner ecosystem
• Work closely with Industry go-to-market team and practices to define and develop joint solutions that align company services with market opportunities and offerings
• Collaborate with marketing and sales teams to develop and execute go-to-market strategies for joint solutions
• Establish key performance indicators (KPIs) to measure the success of the alliance partnerships
• Provide regular reports and updates on alliance activities, progress against objectives, and ROI

Alliances Partner

Data Engineer

• Lead the architecture and design of enterprise Data & AI platforms supporting analytics, reporting, and AI-driven business capabilities.
• Partner with business and technology stakeholders to identify and prioritize high-value AI and data modernization opportunities.
• Define scalable data architecture, governance, security, and compliance frameworks aligned with banking and regulatory requirements.
• Architect and guide implementation of AI, Generative AI, and Agentic AI solutions leveraging enterprise data assets.
• Provide technical leadership across data engineering, AI engineering, and platform teams.
• Establish architecture standards, best practices, and future-state roadmaps for data and AI capabilities.

AI Architect – Senior Data Science Lead

• Develop and grow Brillio’s relationships within key payer and PBM accounts.
• Own and drive revenue growth for Brillio’s healthcare services within payer and PBM organizations.
• Identify and convert new business opportunities across digital transformation, AI, cloud, automation, data & analytics, and cybersecurity.
• Develop and execute a strategic account plan, focusing on high-growth areas like call center automation & digital twins, AI/ML-driven claims & prior authorization automation, interoperability & data exchange solutions, etc.
• Lead and structure multi-million-dollar outsourcing and transformation deals spanning US onshore, nearshore, and India offshore models.
• Define hybrid onshore-offshore engagement models for cost optimization while maintaining high service quality.
• Build and nurture C-level & VP-level relationships across IT, digital, business, and procurement teams at major payers and PBMs.
• Act as the executive sponsor for Brillio’s engagements, ensuring high client satisfaction and project success.

Client Partner – Payer

Backend Engineer

• Work with clients to define digital strategy and execution roadmap
• Design and implement differentiated digital solutions to deliver measurable value
• Contribute to all stages of software development lifecycle
• Coding, unit testing, implementation, deploying builds, troubleshooting Production and environmental issues
• Coordination with QA, App Support & Business
• Analyze user requirements to define system business objectives
• Ensure application designs conform with business goals
• Architecting Scalable and High-Performance Backend Services
• Conducting software analysis, programming, testing, and debugging

Java Developer

General Counsel

• Review and negotiate contracts (NDAs, MSAs, SOWs, vendor agreements)
• Partner with sales, finance, and delivery teams on deal execution
• Evaluate and prioritize legal risk vs business outcomes
• Build and improve templates, clause libraries, and playbooks
• Support compliance areas (data privacy, employment, cross-border basics)
• Contribute to legal operations efficiency (standardization, speed, simplification)

Legal Counsel

Data Specialist

• Design and build scalable data pipelines using Spark / PySpark on Databricks
• Develop and optimize ETL/ELT workflows for large-scale data processing
• Work with AWS EMR, S3, and Hadoop ecosystem for distributed data processing
• Build and maintain data lake and data warehouse solutions
• Develop and integrate APIs for data ingestion and consumption
• Implement data processing workflows using Airflow / Autosys
• Optimize data performance using partitioning, caching, and query tuning
• Handle structured and semi-structured data from multiple sources
• Ensure data quality, governance, and reliability of pipelines
• Collaborate with cross-functional teams (Analytics, Product, Engineering)

Senior Data Specialist

• Design, build, and maintain scalable data pipelines and data platforms.
• Develop AI-powered data solutions using Agentic AI and Multi-Agent architectures.
• Build and optimize intelligent workflows using Snowflake Cortex capabilities.
• Integrate LLMs with enterprise data while ensuring governance and security.
• Design semantic search, RAG, and AI-assisted analytics solutions.
• Develop and optimize Snowflake data models, stored procedures, and performance tuning.
• Collaborate with Data Scientists, AI Engineers, Product Managers, and business stakeholders to deliver AI-enabled data products.
• Ensure data quality, reliability, observability, and security across data platforms.
• Automate deployment using CI/CD pipelines and Infrastructure as Code where applicable.
• Stay current with emerging AI, GenAI, and Snowflake technologies and recommend best practices.

Lead Data Engineer

Program Manager

• Lead end-to-end delivery of complex contact center transformation programs and strategic initiatives.
• Manage multiple concurrent projects, ensuring delivery on scope, schedule, budget, and quality.
• Collaborate with business leaders, technology teams, operations, and external partners to define project objectives and execution plans.
• Drive program governance, including status reporting, risk management, issue resolution, and executive communications.
• Lead cross-functional and geographically distributed teams to achieve project milestones.
• Partner with contact center operations to improve customer experience, operational efficiency, and workforce performance.
• Manage project budgets, resource planning, and vendor relationships.
• Establish and maintain project management best practices, methodologies, and documentation.
• Identify dependencies, proactively manage risks, and ensure timely escalation of critical issues.
• Foster collaboration, accountability, and continuous improvement across project teams.

Senior Program Manager – Contact Center Transformation

QA Engineer

• Validate IVR call flows, routing logic, and customer journeys
• Perform end-to-end testing of inbound, outbound, and callback flows
• Test voice, chat, and self-service interactions for accuracy and usability
• Test integrations between Amazon Connect, AWS services, and backend systems
• Validate APIs, Lambda functions, and data flows across systems
• Ensure correct handling of user inputs, fallback scenarios, and edge cases
• Design detailed test cases, test scenarios, and test data
• Execute functional, regression, system, and integration testing
• Perform smoke and sanity testing during releases
• Develop and maintain test automation scripts where applicable
• Use tools like Cyara, Selenium, or API testing frameworks for validation
• Support test automation for IVR and conversational flows
• Identify, log, track, and retest defects
• Work closely with developers and BA teams for issue resolution
• Prepare test reports, status updates, and quality metrics
• Ensure high-quality delivery aligned with business requirements
• Validate compliance with security and data standards
• Participate in UAT support and production validation

IVR QA Engineer

• Independently architect, scale, and own the E2E test strategy for complex web applications.
• Build, maintain, and optimize robust automation frameworks utilizing Cypress and TypeScript/JavaScript to improve e2e coverage and automate production smoke testing.
• Automate and embed production smoke tests and regression suites directly into our CI/CD pipelines to ensure rapid, high-confidence deployments.
• Perform root-cause analysis on e2e failures, flaky tests, and pipeline bottlenecks by digging into Cypress and backend logs and interacting closely with software engineers.
• Lead high-impact testing initiatives and author clear, actionable technical documentation.

Lead Quality Engineer

Product Manager

• Lead the end-to-end migration of legacy contact center systems (e.g., Avaya, Cisco) to Amazon Connect, from discovery and planning through execution and rollout.
• Define and execute the product strategy and roadmap for contact center modernization, aligning with enterprise goals, user needs, and compliance requirements.
• Collaborate with IT, telephony/voice infrastructure teams, business operations, clinical teams, and customer service leadership to define functional and technical requirements.
• Serve as the primary voice of the customer (members, providers, internal users) in developing contact center features, IVR flows, routing logic, and integration with downstream systems (e.g., CRMs, case management tools, claims systems).
• Evaluate and optimize customer journeys across voice and digital channels (chat, SMS, email), ensuring seamless and empathetic support experiences.
• Leverage AWS ecosystem tools (e.g., Lex, Lambda, Connect Flows, Contact Lens) to enable smart routing, automation, sentiment analysis, and real-time analytics.
• Develop and track key KPIs and performance metrics (e.g., average handle time, NPS, first call resolution, abandonment rates) to ensure quality and efficiency.
• Own vendor relationships, contracting, and governance for telephony, transcription, workforce management, and analytics tools.
• Champion agile methodologies, backlog prioritization, and sprint execution across cross-functional teams.
• Drive change management, training, and adoption strategies across operational teams to ensure successful platform transition.

Product Manager – Amazon Connect

• Design, develop, and maintain scalable ETL/ELT data pipelines using Databricks and PySpark
• Build and optimize data lakehouse architectures (Bronze–Silver–Gold layers)
• Develop data ingestion frameworks from multiple sources (batch & real-time)
• Implement Delta Lake features including schema evolution, ACID transactions, and optimization
• Create and manage Databricks notebooks, workflows, and jobs for production pipelines
• Ensure data quality, governance, and lineage across pipelines
• Optimize Spark jobs for performance (partitioning, caching, tuning)
• Collaborate with cross-functional teams (Data Scientists, Analysts, Architects)
• Support production deployments, monitoring, and troubleshooting of data pipelines
• Contribute to migration of legacy data platforms to modern cloud-based architecture

Lead Data Analyst

Client Partner, Hitech

Alliances Partner

AI Architect – Senior Data Science Lead

Client Partner – Payer

Java Developer

Legal Counsel

Senior Data Specialist

Lead Data Engineer

Senior Program Manager – Contact Center Transformation

IVR QA Engineer

Lead Quality Engineer

IVR QA Engineer

Product Manager – Amazon Connect

Lead Data Engineer, Databricks