5.0 - 6.0 years

15 - 20 Lacs

Kolkata, Chennai, Mumbai (All Areas)

Hybrid

Experience: 5+ years of experience in process improvement, business operations, or strategy roles, ideally within EdTech, shared services, or BPO environments. Proven track record of leading cross-functional initiatives and delivering efficiency gains. Exposure to AI/ML, automation tools (e.g., RPA, NLP, computer vision), or digital transformation projects. Key Responsibilities Lead the AI Pod: Drive the pods roadmap and priorities by identifying opportunities for AI/automation within operational workflows. Process Diagnostics: Collaborate with pillar leads to map existing processes, identify inefficiencies, and quantify improvement opportunities. AI Use Case Identification: Translate operational pain points into well-defined AI/ML problem statements with clear success metrics. Data and Workflow Analysis: Use data-driven approaches to diagnose root causes, perform workflow audits, and model potential gains from AI intervention. Solution Design: Collaborate with AI engineers to design and test prototypes and MVPs; lead pilots and measure ROI. Change Management: Develop rollout plans, training materials, and change adoption frameworks for implemented AI tools and automations. Performance Tracking: Define KPIs and dashboards to monitor the impact of AI-led process improvements. Stakeholder Communication: Act as the bridge between business functions, AI engineers, and executive sponsors; provide regular updates on outcomes and learnings. Skills & Competencies: Strong analytical and critical thinking skills; adept at turning data into actionable insights. Familiarity with process mapping tools (e.g., Lucidchart, Visio) and project management methodologies (Agile/Lean/Six Sigma preferred). Strong communication and stakeholder management skills. Comfortable working in a startup-like environment within a global organization. Bonus: Experience working with or managing technical teams (data scientists, engineers). Role & responsibilities

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