Top Tech Jobs & Startup Jobs

Designs and maintains Power BI reports and dashboards using Microsoft Fabric semantic models. Responsibilities include data modeling, DAX development and optimization, report validation, security governance, stakeholder requirements gathering, self-service dataset creation, and presenting insights. The role also requires collaboration across teams and use of AI tools to improve analysis and delivery.

Build and maintain Power BI reports and dashboards using Microsoft Fabric semantic models. Responsibilities include data modeling, DAX development and optimization, report validation, security implementation, stakeholder requirement gathering, certified dataset creation, and cross-team presentation of insights. The role also requires using AI tools, supporting self-service analytics, and collaborating on peer reviews and data-quality initiatives.

Leads enterprise operations across global sites and contact centers, overseeing BPO strategy, workforce management, training infrastructure, operational excellence, automation, governance, risk continuity, and centralized capabilities. Partners with business-line and functional leaders to establish shared standards, improve capacity and resilience, manage vendors, and scale consistent operating practices across domestic, nearshore, and offshore locations.

Build production full-stack features and quality infrastructure for AI-generated code, including automated testing, evaluation frameworks, CI/CD quality gates, observability, release criteria, and security guardrails. Use AI coding agents while validating correctness, performance, maintainability, and privacy. Develop scalable services for travel and rewards platforms, protect member trust, and promote AI-assisted engineering quality practices across teams.

Lead technical direction for AI infrastructure, data platforms, shared software primitives, and agentic engineering practices. Build scalable, cloud-native services and secure MCP integrations while establishing AI quality gates, evaluation frameworks, responsible-AI controls, SLOs, and architectural standards. Guide modernization, build-versus-buy decisions, and high-stakes platform choices. Mentor senior engineers and influence technical norms across teams while balancing product delivery, partner needs, member trust, security, and operational quality.

Lead technical direction across multiple products and platforms while building shared AI, data, quality, and testing infrastructure. Define standards for AI-generated code, MCP integrations, responsible AI, security, and cloud-native modernization. Architect evaluation frameworks, regression systems, guardrails, and automated quality gates. Make build-versus-buy and high-stakes architectural decisions, establish operating rhythms and release criteria, mentor senior engineers, and communicate complex technical concepts to executives and partners.

Lead technical projects by translating product priorities into actionable requirements and delivery plans. Coordinate engineering, product, and stakeholders to manage scope, timelines, budgets, risks, and reporting. Promote Agile practices, manage third-party resources, resolve conflicts, and drive continuous improvement to deliver moderate-to-complex software solutions.