Role description
Key Responsibilities:
Strategic Leadership & Planning
- Partner with business and IT leadership to define and execute the BI and analytics roadmap aligned with enterprise data strategy.
- Drive standardization of KPIs, metric definitions, and reporting frameworks to ensure consistency and scalability across business units.
- Identify and prioritize opportunities to leverage advanced analytics, automation, and AI/ML to enhance decision-making and operational efficiency.
- Contribute to modernization of analytics architecture through adoption of cloud-based platforms and scalable data solutions.
Project Oversight & Solution Ownership
- Own end-to-end delivery of BI and analytics solutions, from requirements gathering through deployment, adoption, and continuous improvement.
- Lead development of enterprise dashboards and reporting solutions using Power BI and semantic models (SSAS Tabular).
- Ensure robust and scalable data architecture leveraging AWS, Amazon Redshift, and Databricks.
- Establish and enforce best practices for performance optimization, scalability, and lifecycle management of BI solutions.
Operations, Governance & Advanced Analytics Enablement
- Ensure adherence to enterprise data governance, data quality, and security standards across all analytics solutions.
- Drive implementation of advanced analytics capabilities, including predictive modeling, anomaly detection, and automated insights.
- Support evaluation and adoption of Generative AI use cases such as natural language querying, AI-assisted reporting, and insight generation.
- Monitor solution performance, user adoption, and business impact, continuously improving analytics maturity.
Team Leadership
- Lead and mentor a team of BI developers and analysts, providing technical guidance and fostering capability development.
- Promote a culture of continuous improvement, innovation, and accountability within the analytics team.
- Provide hands-on leadership for complex, high-impact analytics initiatives.
Cross-functional Collaboration
- Act as a key liaison between business stakeholders, data engineering, IT, and enterprise data teams.
- Translate business requirements into scalable, sustainable analytics solutions aligned with enterprise standards.
- Drive stakeholder engagement, change management, and user adoption of analytics solutions.
Qualifications:
Education & Experience
- Bachelor’s degree in Computer Science, Information Systems, Business Analytics, or related field required; advanced degree preferred.
- 10+ years of experience in Business Intelligence, Analytics, or Data Engineering, with demonstrated leadership in enterprise environments.
- Proven experience delivering scalable analytics solutions supporting services, operations, or supply chain functions.
Skills & Knowledge
- Advanced expertise in Power BI, including enterprise data modeling, governance, and performance optimization.
- Strong experience with SSAS Tabular models and semantic layer design.
- Hands-on experience with AWS ecosystem, Amazon Redshift, and Databricks.
- Strong understanding of data warehousing concepts, ETL/ELT processes, and data governance frameworks.
- Experience integrating advanced analytics or AI/ML solutions into BI environments.
- Strong stakeholder management, communication, and influencing skills across technical and non-technical audiences.
- Experience enabling analytics solutions within Services domains.
- Exposure to Generative AI (GenAI), NLP-based reporting, or intelligent automation frameworks.
- Experience working in global, matrixed organizations with distributed teams.
- Nice to have relevant certifications in AWS, Power BI, or data/AI disciplines.
Skills
power bi,bi development,data modeling,data visualization,etl,generative ai,aws data warehouse,
About UST
UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.
