Top Tech Jobs & Startup Jobs

Lead end-to-end quality engineering and validation for an AI-enabled healthcare operations analytics product. Design scalable automated validation frameworks, data quality and reconciliation, ontology and metric validation, LLM and AI evaluation, test harnesses, regression suites, and observability. Partner across product, engineering, and domain teams, mentor engineers, and drive root-cause resolution to ensure accurate, reliable, and traceable data, metrics, APIs, analytics, and user workflows.

Lead test strategy, design test cases, and build automated test scripts and frameworks for enterprise applications. Execute manual and automated testing (functional, integration, performance, security), data/ETL validation, and defect analysis. Implement AI-driven and agentic automation solutions, mentor team members, collaborate with cross-functional teams, and continuously improve QA processes and tooling.

Provide strategic health care advisory services for the Life Sciences consulting team, managing projects and delivering data analysis with strategic recommendations.

Manage consulting projects delivering strategic, operational, and analytical solutions. Analyze complex data sets, present insights, and guide project execution with cross-functional teams.

Lead end-to-end product strategy and discovery for internal and customer-facing healthcare supply chain software. Validate market opportunities, build business cases and roadmaps, prototype AI-enabled solutions, and drive cross-functional delivery while influencing executive stakeholders and mentoring product managers.

Lead and coordinate a portfolio of complex engineering programs, translating strategy into roadmaps and execution plans. Drive cross-team planning, dependency and risk management, governance, executive reporting, and alignment across engineering, product, data, AI, and platform teams, with attention to responsible AI and healthcare supply chain solutions.

Lead design, engineering, and evolution of the enterprise Databricks platform. Build IaC, CI/CD, automation, and self-service capabilities; enable ML/AI features (MLflow, Model Registry, Feature Store, Vector Search); optimize performance, security, governance, and cost; evaluate new technologies; mentor engineers and drive platform adoption across stakeholders.

Design, build, and enhance the enterprise Databricks platform to support analytics, data products, ML, and AI. Develop IaC, CI/CD, automation, reusable templates, and platform services (e.g., Model Registry, Feature Store). Optimize scalability, reliability, and cost across cloud environments and collaborate with architecture, cloud, data engineering, and data science teams to advance platform standards and adoption.

Lead strategy, roadmap, and delivery for enterprise platform products enabling reusable rules, workflows, decisioning, approvals, and orchestration. Drive cross-functional alignment with engineering, architecture, AI Delivery, and security, measure platform adoption and outcomes, reduce technical debt, and build a high-performing platform product team while establishing scalable, AI-enabled product management practices.

Lead design, development, deployment, and support of enterprise intelligent automation using Power Platform and UiPath. Partner with stakeholders to identify automation opportunities, build scalable solutions, integrate with systems, deliver dashboards, enforce governance, troubleshoot complex issues, lead projects and mentor team members to drive automation CoE and continuous improvement.