Position Summary The AI/BI Enablement Specialist plays a critical role in empowering business and technical teams to leverage modern analytics, AI-assisted workflows, and data visualization tools. This role combines technical expertise in leading analytics & AI Agentic platforms- BI Tools (e.g. Power BI, Tableau), Data platforms (e.g. Databricks), Low Code enablers (e.g. Dataiku), Agentic AI tools (e.g. Copilot Studio), Workflow Orchestrators (e.g. n8n) -with strong communication, training, and solution design skills to drive enterprise-wide data literacy and self service analytics adoption. The ideal candidate is a blend of educator, solution architect, and platform strategist, capable of enabling end users while ensuring alignment with governance, best practices, and enterprise data standards. Key Responsibilities . Serve as a subject matter expert (SME) for Power BI, Tableau, Databricks, Dataiku, Copilot Studio, n8n AI/BI capabilities, guiding users on optimal feature usage, patterns, and solution approaches. . Develop and deliver enablement assets such as training sessions, office hours, documentation, demos, and hands-on workshops. . Promote self-service analytics and AI by advising users on how to build performant, scalable dashboards, workflows, machine learning pipelines and GenAI solutions. . Partner with business to understand analytical and AI needs and translate them into scalable solutions. . Provide guidance on prompt engineering, responsible AI usage, and integration of AI/ML models into analytical workflows. . Assist users in designing and optimizing Power BI and Tableau dashboards, including data modeling, DAX/LOD expressions, performance tuning, and visualization best practices. . Provide guidance on Databricks workflows including Delta Lake, notebooks, Spark optimization, and AI/ML use cases. . Troubleshoot platform-related issues, helping teams resolve technical blockers. .



Ensure adherence to proper data management and governance practices. . Partner with data engineering and platform teams to align on architecture, integrations, and usage patterns. . Foster a strong internal analytics community through forums, user groups, knowledge-sharing events, and newsletters. . Collect user feedback to identify pain points, prioritize enhancements, and evolve training programs. . Demonstrate and evangelize productivity enhancements across analytics, data science and AI. Required Qualifications . 3-7 years of experience in analytics, BI development, data science, or data engineering. . Advanced proficiency in Power BI (data modeling, DAX, Power Query) and Tableau (LOD, dashboard optimization). . Hands-on experience with Databricks (Spark, Delta Lake, SQL, Python notebooks). . Practical experience with Copilot Studio, n8n, … (visual flows, AI/ML pipelines, automation/agents, deployment). . Strong understanding of data warehousing concepts, semantic modeling, and ETL/ELT design. . Excellent communication, teaching, and documentation skills. . Proven ability to translate business requirements into technical solutions. Preferred Qualifications . Experience implementing or managing enterprise BI platforms. . Knowledge of Azure and AWS cloud ecosystems. . Familiarity with MLOps, CI/CD, and governance frameworks. . Experience hosting workshops, communities of practice, or internal training programs. . Certifications in Power BI, Tableau, Databricks, or Dataiku are a plus. Competencies . Customer-Centric Mindset - Passion for enabling others and simplifying complexity. . Technical Curiosity - Strong desire to explore new tools, features, and AI/analytics trends. . Collaboration & Influence - Ability to work cross-functionally with business, IT, and data teams. . Structured Communication - Can explain complex concepts in simple, practical terms. . Problem Solving - Robust analytical thinking with a bias toward action and continuous improvement.

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📌 AI & BI Enablement (Bengaluru)
🏢 NXP Semiconductors India Private
📍 Bengaluru