Key Responsibilities:
Strategic Leadership & Planning
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Partner with business and IT leadership to define and execute the BI and analytics roadmap aligned with enterprise data strategy.
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Drive standardization of KPIs, metric definitions, and reporting frameworks to ensure consistency and scalability across business units.
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Identify and prioritize opportunities to leverage advanced analytics, automation, and AI/ML to enhance decision-making and operational efficiency.
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Contribute to modernization of analytics architecture through adoption of cloud-based platforms and scalable data solutions.
Project Oversight & Solution Ownership
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Own end-to-end delivery of BI and analytics solutions, from requirements gathering through deployment, adoption, and continuous improvement.
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Lead development of enterprise dashboards and reporting solutions using Power BI and semantic models (SSAS Tabular).
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Ensure robust and scalable data architecture leveraging AWS, Amazon Redshift, and Databricks.
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Establish and enforce best practices for performance optimization, scalability, and lifecycle management of BI solutions.
Operations, Governance & Advanced Analytics Enablement
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Ensure adherence to enterprise data governance, data quality, and security standards across all analytics solutions.
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Drive implementation of advanced analytics capabilities, including predictive modeling, anomaly detection, and automated insights.
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Support evaluation and adoption of Generative AI use cases such as natural language querying, AI-assisted reporting, and insight generation.
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Monitor solution performance, user adoption, and business impact, continuously improving analytics maturity.
Team Leadership
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Lead and mentor a team of BI developers and analysts, providing technical guidance and fostering capability development.
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Promote a culture of continuous improvement, innovation, and accountability within the analytics team.
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Provide hands-on leadership for complex, high-impact analytics initiatives.
Cross-functional Collaboration
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Act as a key liaison between business stakeholders, data engineering, IT, and enterprise data teams.
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Translate business requirements into scalable, sustainable analytics solutions aligned with enterprise standards.
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Drive stakeholder engagement, change management, and user adoption of analytics solutions.
Qualifications:
Education & Experience
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Bachelor’s degree in Computer Science, Information Systems, Business Analytics, or related field required; advanced degree preferred.
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10+ years of experience in Business Intelligence, Analytics, or Data Engineering, with demonstrated leadership in enterprise environments.
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Proven experience delivering scalable analytics solutions supporting services, operations, or supply chain functions.
Skills & Knowledge
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Advanced expertise in Power BI, including enterprise data modeling, governance, and performance optimization.
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Strong experience with SSAS Tabular models and semantic layer design.
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Hands-on experience with AWS ecosystem, Amazon Redshift, and Databricks.
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Strong understanding of data warehousing concepts, ETL/ELT processes, and data governance frameworks.
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Experience integrating advanced analytics or AI/ML solutions into BI environments.
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Strong stakeholder management, communication, and influencing skills across technical and non-technical audiences.
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Experience enabling analytics solutions within Services domains.
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Exposure to Generative AI (GenAI), NLP-based reporting, or intelligent automation frameworks.
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Experience working in global, matrixed organizations with distributed teams.
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Nice to have relevant certifications in AWS, Power BI, or data/AI disciplines.
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