Manager - AI and Data

MicroSave; New Delhi; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

A consulting firm is seeking a Manager for their Ethical AI and Data Solutions team in New Delhi. The role involves leading client engagements that leverage data and AI to solve complex challenges. The ideal candidate will have 6 to 10 years of experience in analytics, strong problem-solving capabilities, and the ability to guide teams effectively. Responsibilities include managing client relationships and delivering high-quality analytical solutions.

Qualifications

• 6 to 10 years of relevant experience in analytics, data science, or consulting.
• Strong grounding in analytics and quantitative problem solving.
• Experience leading client-facing assignments or workstreams.

Responsibilities

• Lead client-facing engagements across data and AI.
• Guide teams toward practical, high-quality solutions.
• Translate complex findings into actionable recommendations.

Skills

Analytical leadership

Client engagement

Data analysis

Machine learning

Problem-solving

Education

Master’s degree in Statistics, Mathematics, or related field

Bachelor’s degree with strong experience

Tools

Data science tools

Machine learning workflows

Job description

MicroSave Consulting (MSC) is a boutique consulting firm that has, for 25 years, pushed the world towards meaningful financial, social, and economic inclusion. With over 300 staff of different nationalities and varied expertise, we are proud to be working in over 68 developing countries. We partner with participants in financial services, enterprise, agriculture and health ecosystems to achieve sustainable performance improvements and unlock enduring value. Our clients include governments, donors, private sector corporations, and local businesses. We can help you seize the digital opportunity, address the mass market, and future-proof your operations.

Job Description

At MicroSave Consulting, the Ethical AI and Data Solutions team works with clients to solve complex institutional, sectoral, and development challenges using data, analytics, and AI. The Manager role combines consulting, analytical leadership, client engagement, team development, and solution design. It is suited to professionals who can translate complex problems into practical, high-quality work, lead client-facing delivery, and contribute to building a strong and credible practice in this space.

Responsibilities:

• Lead client-facing engagements across data, analytics, AI, andresearch-driven problem solving
• Work with clients and internal teams to understand business,policy, operational, and research challenges, and translate them intostructured analytical and advisory approaches
• Shape project scope, define workplans, identify key questions,and guide teams toward practical, high-quality solutions
• Lead end-to-end delivery of assignments, including problemframing, analysis, synthesis, development of insights, and preparation ofclient-ready outputs
• Apply and guide the use of data analysis, statistical methods,machine learning, and AI techniques where relevant to strengthendecision-making and problem solving
• Translate complex technical and analytical findings into clearrecommendations, strategic implications, and actionable next steps forclients
• Lead the development of reports, presentations, dashboards,briefs, and decision-support materials for technical and non-technicalstakeholders
• Facilitate client meetings, workshops, and problem-solvingdiscussions to refine requirements, align stakeholders, and supportdecision-making
• Review analytical outputs, assumptions, visualizations, andwritten deliverables to ensure quality, clarity, and relevance
• Guide teams on analytical design, methodological choices,trade-offs, and implementation considerations
• Manage client relationships on ongoing assignments, includingcommunication on progress, risks, deliverables, and expectations
• Mentor Associates and Assistant Managers through review,feedback, and day-to-day delivery guidance
• Support proposal development, opportunity scoping, technicalwrite-ups, staffing inputs, and broader business development efforts
• Contribute to internal capability building, reusable assets,knowledge products, and practice development within the Ethical AI andData Solutions team

Additional responsibilities:

• Lead assignment setup and debriefing meetings, with a focus ondelivery quality, learning, and continuous improvement
• Conduct Quality of Delivery reviews to strengthen the qualityand usability of outputs across projects
• Support internal learning through coaching, review frameworks,training inputs, and mentoring
• Stay updated on developments in analytics, AI, and relatedtools, and assess their relevance for client work and practice growth
• Encourage the responsible and effective use of data and AI inproject delivery

Requirements

Qualifications

• Master’s degree preferred in Statistics, Mathematics,Economics, Computer Science, Data Science, Engineering, Management, PublicPolicy, or a related field from a reputed institution
• Bachelor’s degree may be considered for candidates with strongexperience in analytics, consulting, applied research, or AI-enableddelivery
• Strong grounding in analytics, quantitative problem solving,and applied use of data is essential
• Familiarity with data science, machine learning, or AI toolsand workflows is expected
• Additional certifications in analytics, AI, consulting,business strategy, or related domains will be an advantage
• Consulting-led problem solving and structured thinking
• Strong grounding in analytics, machine learning, and AIapplications
• Client and stakeholder management
• Proposal writing, business development support, and solutionscoping
• Team leadership, review, and quality assurance

Any other requirement

• 6 to 10 years of relevant experience in analytics, datascience, AI, consulting, applied research, or related roles
• Demonstrated experience leading client-facing assignments orworkstreams end-to-end
• Ability to translate ambiguous business or policy questionsinto structured approaches and actionable recommendations
• Strong review capability across analytical outputs, writtendeliverables, and team workstreams
• Experience in proposal development, business developmentsupport, or practice-building is preferred
• Exposure to machine learning, AI applications, LLMs, or relatedtools is an advantage
• Strong ownership, judgment, and collaborative working style areessential