Solutions Engineer

• Architect and design enterprise-grade cloud solutions leveraging AWS services (EC2, S3, Glue, Lambda, Kinesis, IAM, Redshift, EMR).
• Design Databricks Lakehouse solutions including Delta Lake, Unity Catalog, Spark optimization, governance, and MLOps patterns.
• Build scalable ETL/ELT pipelines, real-time streaming architectures, and reusable data integration frameworks.
• Develop high-level and low-level architecture blueprints ensuring security, compliance, cost efficiency, reliability, and performance.
• (Preferred) Architect cloud/on-prem hybrid data platforms using Azure services such as Azure Data Lake, ADF, Azure Databricks, Synapse, etc.
• Lead requirement discovery, translate business needs into robust architectural designs and roadmaps.
• Create HLDs, LLDs, data flow diagrams, integration patterns, deployment models, and security reference architectures.
• Oversee end-to-end delivery, guiding engineering and DevOps teams through implementation and optimization.
• Perform architecture assessments and recommend improvements for scalability, resilience, and cost savings.
• Provide thought leadership and hands-on direction to data engineering, analytics, DevOps, and platform teams.
• Establish best practices for coding, data governance, CI/CD, infrastructure automation, and environment management.
• Introduce and evaluate emerging cloud technologies, tools, and frameworks relevant to analytics and modern data platforms.
• Act as technical SME for client conversations, workshops, and executive presentations.
• Communicate complex architectural concepts clearly to both technical and non-technical audiences.
• Partner closely with business stakeholders to define solution vision, roadmap, and success metrics.

Lead Solution Architect – Cloud

Platform Engineer

• Develop Canvas and Model-Driven Power Apps for multi-step data workflows.
• Build complex Power Automate flows to orchestrate approval cycles.
• Design and manage robust data models in Microsoft Dataverse.
• Connect the application to authoritative financial systems, SQL Servers, and SharePoint.
• Implement Role-Based Access Control (RBAC) and Data Loss Prevention (DLP) policies.
• Use JavaScript, Power Fx, or C# (PCF) for specialized financial calculations or custom UI components.

Power Platform Developer

Account Executive

• The Senior Assistant Vice President, Account Management (SAVP), serves as a strategic leader responsible for driving revenue growth, deepening senior‑level client relationships, and shaping the vision and execution of complex, data‑driven healthcare solutions.
• This role blends high‑impact account management with consultative solutioning—leveraging expertise across analytics, cloud technologies, digital transformation, and emerging innovations to address client pain points and uncover new opportunities.
• Acting with cross-functional teams, the SAVP aligns business objectives with technical capabilities, ensuring seamless delivery, robust financial oversight, and the development of forward‑looking, value‑centered solutions.
• Success in this position requires a strong healthcare technology background, exceptional stakeholder management, advanced problem‑solving acumen, and the ability to translate analytics and digital capabilities into meaningful, scalable outcomes for strategic clients.

Senior Assistant Vice President, Healthcare Account Management

SDET

• Manage data quality projects.
• Ensure adherence to policies.
• Provide strategic guidance.
• Lead a team.

QA Automation Engineer, Kafka Messaging

QA Engineer

• Develop and manage small computer vision projects.
• Ensure documentation and model standards are adhered to.
• Develop and deliver training sessions on computer vision best practices.
• Provide feedback and support to junior team members.

QA Engineer, Tester

Auditor

• Review and audit medical claims against patient medical records to ensure accuracy and completeness of documentation.
• Identify discrepancies between clinical documentation and billed services, highlighting variances and potential billing errors.
• Perform detailed clinical reviews to validate diagnosis, procedures, and level of care in accordance with industry standards.
• Ensure compliance with CMS guidelines, payer policies, and regulatory requirements during claim review processes.
• Conduct best practice audits to identify documentation gaps, coding inaccuracies, and revenue leakage opportunities.
• Provide structured findings and audit reports with clear recommendations for corrective action and process improvement.
• Collaborate with coding, billing, and provider teams to resolve audit findings and support accurate claim submissions.
• Monitor trends in audit results and identify recurring issues requiring targeted education or intervention.
• Support quality assurance initiatives by maintaining audit accuracy benchmarks and meeting productivity standards.
• Participate in continuous improvement activities, including updates on CMS regulations, clinical guidelines, and payer policy changes.

Senior Clinical Auditor

Risk

• Data Cataloging: Utilize IDMC to effectively catalog data assets, ensuring robust metadata management and enhancing data discoverability across the organization.
• Data Classification: Support with necessary data classification (manual or automated) around sensitive, critical, confidential data
• Master Data Management: Develop, validate, and maintain detailed mappings and schemas in Excel to manage master data critical for analysis and reporting.
• Data Quality Assurance: Regularly audit and refine data quality, collaborating with IT, Data Owners, Data Stewards, and other stakeholders to rectify discrepancies and maintain high data integrity.
• Policy Implementation and Compliance: Adhere to and enforce strict data management practices that comply with industry regulations such as GDPR, HIPAA, or specific insurance regulatory standards.
• Stakeholder Collaboration: Liaise between data users, technical teams, and business leaders to align data accessibility with the strategic needs of the actuarial department.
• Educational Workshops and Support: Conduct training sessions and provide ongoing support for Alation and Excel-related data governance practices.
• Project Leadership: Manage and execute data governance projects, ensuring alignment with broader business objectives and timely completion.

Data Governance

Data Engineer

• Lead the design, development, and deployment of scalable cloud solutions on AWS.
• Architect and implement enterprise data solutions using Microsoft Fabric, including analytics, data pipelines, and integrated lakehouse scenarios.
• Implement and manage data governance, cataloging, and compliance using Microsoft Purview.
• Define technical standards, best practices, and architecture patterns across cloud and data projects.
• Mentor and guide junior engineers, ensuring high-quality, maintainable, and secure code.
• Collaborate with business and data stakeholders to align technical solutions with organizational objectives.
• Drive innovation in cloud, data, and governance initiatives to support strategic business goals.

Data Engineer – AWS, MS Fabric, Purview

• Lead the design, development, and deployment of scalable cloud solutions on **AWS**.
• Architect and implement enterprise data solutions using **Microsoft Fabric**, including analytics, data pipelines, and integrated lakehouse scenarios.
• Implement and manage data governance, cataloging, and compliance using **Microsoft Purview**.
• Define technical standards, best practices, and architecture patterns across cloud and data projects.
• Mentor and guide junior engineers, ensuring high-quality, maintainable, and secure code.
• Collaborate with business and data stakeholders to align technical solutions with organizational objectives.
• Drive innovation in cloud, data, and governance initiatives to support strategic business goals.

• Vendor Risk Assessment: Evaluate new supplier engagements using established screening methods to determine applicable risk functions.
• Stakeholder Collaboration: Partner with Sourcing, Business Partners, Vendors, and risk function SMEs to resolve issues and ensure timely pre- and post-contract due diligence.
• Process Management: Support intake, documentation screening, and coordination with contract administration; manage due diligence close-out and act as liaison with Legal and spoke departments.
• Risk Monitoring & Reporting: Maintain vendor profiles and risk registers; prepare risk reports, dashboards, and monthly performance packs highlighting trends and metrics.
• Vendor Screening: Conduct external checks (financial health, negative news, compliance indicators).
• Governance & Documentation: Ensure policies, SOPs, and workflows are clearly defined, updated, and documented.
• Leadership & Team Development: Assign work, mentor associates, provide feedback, and manage stakeholder relationships.
• Performance Management: Meet SLA targets, prepare performance dashboards, and deliver process-related reports.
• Customer Service: Provide timely and accurate support to all stakeholders.

Senior Consultant – Risk Advisory, TPRM

Consultant

• Design and implement transformation solutions
• Optimize solutions for business impact
• Ensure solutions meet requirements
• Provide consulting support
• Collaborate with stakeholders.

Transformation Solution Consultant

Data Scientist

• Conduct detailed exploratory data analysis (EDA) on structured and unstructured text datasets to derive insights and inform model development.
• Design, build, and evaluate models for a variety of NLP tasks, including:
• Text classification
• Named entity recognition (NER)
• Information extraction from unstructured documents
• Develop and refine regular expressions, traditional NLP pipelines, and transformer-based models to support business use cases.
• Write high-quality, production-grade Python code, following best practices for scalability, testing, and maintainability.
• Apply Generative AI techniques and prompt engineering to enhance automation and downstream applications.
• Collaborate closely with machine learning engineering teams to deploy, monitor, and optimize NLP solutions in production.
• Utilize cloud technologies such as Azure or AWS to build, train, and manage ML workloads.

Manager – Data Scientist

• Build and optimize data systems that power batch processing, real-time streaming, pipeline orchestration, data lake management, and data cataloging.
• Use expertise in solving big data problems and apply design thinking, coding and analytical skills to develop data pipelines that support marketing data products.
• Integrate services directly with Lending Club’s products and with external vendors.
• Work with modern data technologies such as Hadoop, Spark, DBT, Dagster/Airflow, Atlan, Trino, etc., and cloud technologies across AWS stack.
• Identify, design, and implement automation of manual processes, optimizing data delivery, reducing Cloud cost, etc.
• Implement processes and systems to monitor Data Quality, Observability, Governance and Lineage.
• Support operations to manage the production environment and help in resolving production issues with RCA.
• Write unit/integration tests, adopt Test-driven development, contribute to engineering wiki, and document design/implementation etc.

Senior Data Engineer

Manager

• Monitor and reconcile lease liabilities and righto fuse assets**
• Assist with audits by providing documentation and explanations for lease transactions**
• Ensure compliance with accounting standards (e.g., ASC 842, IFRS 16) and comp policies

EXL

Lead Solution Architect – Cloud

Power Platform Developer

Senior Assistant Vice President, Healthcare Account Management

QA Automation Engineer, Kafka Messaging

QA Engineer, Tester

Senior Clinical Auditor

Data Governance

Data Engineer – AWS, MS Fabric, Purview

Data Engineer – AWS, MS Fabric, Purview

Data Engineer – AWS, MS Fabric, Purview

Senior Consultant – Risk Advisory, TPRM

Transformation Solution Consultant

Manager – Data Scientist

Senior Data Engineer

Lead Assistant Manager – Order to Cash, Billing & Billing Support