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The DevOps Engineer will lead multiple client projects, design and support applications, and mentor other engineers, utilizing modern development practices and technologies.

Lead complex client engagements focused on technology and business transformation. Responsibilities include defining project value, overseeing Agile initiatives, managing client and partner relationships, owning project financials, coordinating internal teams, supporting consultant staffing, and contributing to proposals and statements of work. The role requires senior stakeholder engagement, strong communication, structured problem-solving, and the ability to work onsite at company or client locations as needed.

Leads a consulting firm service line, account portfolio, or major capability area, owning revenue growth, margin, forecasting, client relationships, delivery quality, talent development, succession planning, and strategic market positioning. Builds pipeline, leads complex pursuits, develops executive partnerships, establishes delivery standards, manages portfolio health, and scales leadership and capabilities. Requires onsite work at company or client locations as needed, with travel and occasional evening or weekend commitments.

Lead end-to-end delivery of data, analytics, and AI solutions for clients. Advise stakeholders, translate business needs into strategies, oversee architecture and governance, manage cross-functional teams, and drive Agile delivery. The role covers cloud platforms, data warehouses, BI, privacy, security, compliance, modernization, and practical AI/ML adoption while managing timelines, budgets, risks, and client relationships.

Leads private equity technology and commercial diligence engagements, guiding multidisciplinary consulting and technology teams. Assesses systems, risks, technology-enabled value creation opportunities, and business cases while developing executable transformation roadmaps. Oversees client delivery, simplifies complex technical concepts, develops service-line capabilities, creates proposals, supports sales initiatives, and builds senior client relationships. The role requires extensive consulting experience, strong analytical and communication skills, and onsite work at company or client locations as needed.

Build and maintain automated tests across unit, integration, system, and end-to-end levels for client Agile teams. Integrate tests into CI/CD pipelines, report testing KPIs, support release readiness, develop testing plans, and collaborate with development and offshore teams. The role also supports quality engineering for AI, LLM, and GenAI applications, including API, model-output, prompt-workflow, reliability, accuracy, and regression testing.

Design and build scalable cloud-native data pipelines and models to produce trusted, analysis-ready data. Ensure data quality, governance, and privacy controls, apply software engineering best practices, enable BI and AI/ML consumption, and collaborate with clients and cross-functional teams.

Perform stakeholder interviews and exploratory analysis to surface insights; build dashboards and reports; profile data and assess quality; leverage cloud data platforms; collaborate with engineers and clients; facilitate agile workshops and explore AI/GenAI to accelerate reporting and decision intelligence.

Partner with clients to define data science strategies, conduct analyses, create roadmaps and business cases, communicate methods to non-technical audiences, collaborate on end-to-end solutions, and identify/deploy ML and GenAI solutions.

Design and lead cloud-native data architectures and end-to-end ELT/ETL pipelines across major cloud platforms. Build and optimize data lakes/warehouses, enforce data security and governance, implement IaC and CI/CD, conduct data profiling, and advise clients on AI/ML integration while mentoring delivery teams.