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Data & AI Manager
CFGIData & AI Manager leading engineering, analytics, and AI engagements for CFGI, a financial consulting firm serving CFOs. Driving delivery, governance, client relationships, and growth across Asia-Pacific markets.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Data Engineering, Advanced Analytics, and Artificial Intelligence, with a strong focus on delivering scalable AI solutions and managing client relationships. Proficient in leading project execution, mentoring teams, and applying AI governance practices in regulated environments.
Highest-signal resume keywords
Data EngineeringArtificial IntelligenceMachine LearningPython DevelopmentClient Relationship Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data EngineeringAdvanced AnalyticsArtificial IntelligenceMachine LearningData Pipeline DevelopmentPredictive ModelingGenerative-AI SolutionsData GovernanceAI Model EvaluationData Platform Engineering
Soft Skills
Interpersonal CommunicationAnalytical Problem-SolvingProject ManagementMentoringCollaboration
Tools & Technologies
PythonSQLSnowflakeDatabricksPower BITableauAlteryxUiPathMicrosoft Power PlatformCloud Platforms
Industry Keywords
AI GovernanceData ResidencyRisk ManagementAudit ComplianceClient EngagementBusiness IntelligenceWorkflow AutomationEnterprise Knowledge ArchitecturesRegulated EnvironmentsMarket-Specific Solutions
Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformPythonSQLTableau
About the role
Key responsibilities & impact- 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 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 accelerators, platforms, and delivery methodologies for local-market requirements
Requirements
What you’ll need- 5+ years of experience in data engineering, data science, advanced analytics, applied artificial intelligence, machine learning, analytics consulting, and/or technology consulting
- Hands-on experience delivering data or AI solutions from requirements and solution design through implementation
- 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
- Professional experience supporting either the India or Japan market
- Professional working English
- For India market: Hindi or another relevant Indian regional language, such as Kannada, Marathi, or Tamil
- For Japan market: business-level Japanese
- 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 graphs, or other enterprise knowledge architectures
- Experience applying AI governance, model evaluation, observability, explainability, model-risk, data-lineage, and auditability practices
- Experience with at least one major cloud platform and its managed AI services, including Microsoft Azure, Amazon Web Services, or Google Cloud Platform
- Experience leading business-intelligence, workflow-automation, or analytics solutions using Power BI, Tableau, Alteryx, UiPath, or Microsoft Power Platform
- Experience originating or co-originating client opportunities, shaping business cases and scopes, developing proposals, and presenting solutions to executive buyers
- Experience growing existing client accounts or converting delivery relationships into follow-on engagements
- Established relationships with senior client stakeholders, alliance partners, or technology vendors in India or Japan
- Experience delivering data or AI solutions in regulated, audit-focused, risk-sensitive, or data-residency-constrained environments
- Nice-to-have experience includes AI orchestration frameworks, Model Context Protocol, vector databases, prompt management, AI evaluation tools, responsible-AI methodologies, self-hosted inference, semantic-layer technologies, graph databases, Office-of-the-CFO workflows, relevant industries, and governed finance/reporting/risk environments
- Excellent interpersonal, written, and verbal communication skills
- Strong analytical and structured problem-solving abilities
- Ability to communicate technical concepts and business value to executive and non-technical stakeholders
- Ability to manage multiple workstreams, priorities, and deadlines
- Hands-on, entrepreneurial, self-motivated, adaptable, ethical, dependable, and collaborative
Benefits
Comp & perks- Mentoring junior team members and supporting professional development
- Exposure across the full client lifecycle, from executive conversation and opportunity qualification through solution design, implementation, and managed operation
- Work across industries and the full AI lifecycle
- Support from CFGI’s global Data & Analytics capabilities, controls expertise, and managed-services platform
- Vendor-agnostic approach to technology recommendations
- Future leadership opportunities for Managers who develop strong delivery reputations and lasting client relationships