Data AI Manager positions focus on delivering results in their domain. This page aggregates open Data AI Manager roles and what employers typically expect.
Data & AI – Manager CFGI, founded in 2000, is a dynamic and fast-growing financial consulting firm serving as a trusted partner to CFOs and their organizations. We help clients address complex challenges across accounting, financial reporting, transactions, regulatory compliance, digital transformation, data analytics, and artificial intelligence. We combine deep technical expertise with a hands-on, entrepreneurial approach to help leading organizations move forward with confidence. We are expanding our Data & AI practice across Asia-Pacific and seeking a hands-on Manager to lead client engagements and support business development in either the India or Japan market. Managers oversee day-to-day engagement delivery, mentor junior professionals, collaborate with senior client stakeholders, and help identify and shape new opportunities. Candidates are not expected to support both markets. The successful candidate will be aligned to either India or Japan based on their relevant language capabilities, market experience, and client relationships. What You Might Expect Lead Data & AI engagements involving data engineering, advanced analytics, artificial intelligence, machine learning, dashboards, automation, and data-governance solutions. Manage the design, development, and implementation of data pipelines, analytics solutions, predictive models, generative-AI applications, agentic workflows, and intelligent process-automation initiatives. Lead AI readiness assessments, use-case identification, implementation roadmaps, responsible-AI governance, and AI-enabled managed-services engagements. Partner with CFOs, CTOs, and senior finance, technology, data, risk, and operations stakeholders to translate business challenges into scalable technical solutions. Own day-to-day client relationships, facilitate working sessions, communicate recommendations, and present technical solutions to executive and non-technical stakeholders. Lead engagement planning, project execution, workstream management, quality assurance, and client-ready deliverables. Embed appropriate model validation, explainability, auditability, privacy, security, and human-oversight controls into AI solutions. Manage and mentor junior team members by providing technical guidance, reviewing deliverables, and supporting professional development. Identify and qualify new client opportunities in the assigned market. Contribute to proposals, solution design, executive presentations, account expansion, and pursuit activities alongside CFGI partners. Collaborate with CFGI’s APAC and global Data & AI, Data & Analytics, controls, and managed-services teams. Help adapt and productize CFGI’s existing accelerators, platforms, and delivery methodologies for local-market requirements. What You Must Have 5+ years of experience in data engineering, data science, advanced analytics, applied artificial intelligence, machine learning, analytics consulting, and/or technology consulting. Strong hands-on experience delivering data or AI solutions from requirements and solution design through implementation, with demonstrated depth in at least one core discipline: AI engineering, data-platform engineering, or advanced analytics and modeling. Experience leading client-facing workstreams, managing project deliverables, communicating with senior stakeholders, and mentoring junior professionals. What Sets You Apart Experience designing and implementing generative-AI, predictive-AI, or agentic-AI solutions in a production or enterprise environment. Experience developing data platforms and solutions using Python, SQL, Snowflake, Databricks, cloud data platforms, data orchestration tools, and/or modern lakehouse technologies. Experience evaluating and selecting AI models based on capability, cost, latency, throughput, security, licensing, context-window, and data-residency requirements. Experience developing retrieval-augmented generation, tool-enabled AI, multi-agent workflows, semantic layers, knowledge…