“Gurgaon” “Biz OPS” “Specialist- AI, Data & Automation”

“Gurgaon” “Biz OPS” “Specialist- AI, Data & Automation”

LOCATION

NEW DELHI

ADDITIONAL LOCATIONS

JOB DESCRIPTION

KEY RESPONSIBILITIES

AI, Agents & Intelligent Automation

• Design, build, and deploy AI-enabled solutions and agents using Microsoft Copilot Studio, Azure

• OpenAI, and the broader M365 Copilot ecosystem, targeting L&D use cases like content authoring
• support, learner self-service, instructor tools, and feedback synthesis.

• Apply LLMs thoughtfully to real L&D problems, choosing the right approach for each case and

building solutions that hold up in production.

• Build automated workflows in Power Automate, Power Apps, Dataflows, and SharePoint Online

• that streamline core L&D processes, enrollment and registration, approvals, learner
• communications, completions tracking, and certifications.

• Evaluate code-based versus low-code approaches for each problem and pick the path that scales

and stays maintainable.

• Use Copilot agents and AI-assisted development patterns to accelerate delivery, treating AI as a

force multiplier without compromising quality.

• Critically evaluate AI-generated output to ensure the solutions you ship meet a high-quality bar,

regardless of how they were produced.

Data & Reporting

• Build and maintain Power BI dashboards and reporting that give L&D and business stakeholders a

• clear view of program performance, enrollments, completions, engagement, certifications, and
• learner feedback.

• Design and manage the data pipelines and integrations that connect our learning, HR, and survey

systems and support both AI and analytics use cases.

• Translate questions from L&D and business leaders into clean, reliable data products, from raw

source extraction to polished, decision-ready dashboards.

• Maintain the underlying data, documentation, and refresh cadence that keeps every dashboard

and automation trustworthy and well-governed.

Collaboration & Delivery

• Partner with stakeholders to identify high-value AI, analytics, and automation opportunities, and

operate as an independent contributor delivering end to end with minimal supervision.

• Create reusable components, templates, and analytics assets that drive consistency and scale

across the team.

• Collaborate across time zones with team

Required Qualification and Skills

• Approximately 5-7 years of work experience and 2+ years of relevant experience in AI, analytics,
• automation, or technology-enabled transformation.

• You are interested in how people learn and build skills and how your work can support the learning

process.

• You are passionate about analyzing and improving workflow through automation and curious about how AI

can transform performance.

• You have hands-on experience designing, building, and deploying AI agents and AI-enabled solutions, and

• you can speak credibly to how to apply AI to real business problems.
• You're comfortable working with LLMs and have a working sense of how to get useful, reliable behavior out of
• them

• You bring strong judgment about when to use code versus low-code, and you build for scale and maintainability

either way.

• You are critical and discerning about AI-generated output and can recognize the difference between something

genuinely useful and something that looks plausible but isn't.

• You bring strong data analysis and reporting capabilities, transforming complex datasets into clear, actionable

insights that support business decisions.

• You have working knowledge of enterprise data modeling and dimensional design (e.g., star schemas,

normalization), and you build data foundations that scale and stay maintainable as reporting needs grow.

• You are deeply hands-on with the Microsoft Power Platform, Power BI, Power Automate, Power Apps, Dataflows,

and SharePoint Online.

• You apply strong analytical thinking and a systems-oriented mindset, designing repeatable, maintainable

solutions rather than one-off fixes.

• You communicate clearly across cultures and time zones, ask good clarifying questions, and proactively flag

risks and blockers.

• You are organized, reliable, and take pride in the quality and accuracy of what you create and

you can manage work end to end with minimal supervision.

Education / Certifications

• A bachelor's degree or equivalent experience in technology, analytics, engineering, or

related field.

Preferred / Nice-to-Have

• Familiarity with applied LLM patterns such as retrieval-augmented generation (RAG) and

prompt engineering.

• Comfort with Python and SQL for analytics, automation, or AI development.
• A relevant Microsoft certification — for example, PL-300 (Power BI Data Analyst) or AI-102

(Azure AI Engineer).

• Experience integrating systems through custom connectors, REST APIs, or Azure Logic Apps / Functions.
• Exposure to other technology or learning platforms such as Azure, Qualtrics, Cornerstone OnDemand, Workday, or a Learning Experience Platform (LXP).

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