Gurgaon Biz OPS Specialist- AI, Data & Automation

JOB REQUISITION Gurgaon Biz OPS Specialist- AI, Data & Automation LOCATION NEW DELHIADDITIONAL 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). Protiviti is not licensed or registered as a public accounting firm and does not issue opinions on financial statements or offer attestation .