Key Responsibilities :
- Serve as the primary point of contact for all Data and BI programs, ensuring alignment with business goals.
- Size data environments for optimal performance and drive enterprise-wide adoption of BI tools and practices.
- Provide expert-level knowledge in AWS services (Athena, Bedrock, RDS, Lambda) and BI platforms (Tableau, Alteryx).
- Partner with vendors for evaluation, selection, and full life-cycle implementation of data solutions.
- Build and lead a high-performance Data & BI team capable of delivering against project plans.
- Own scope management, cost management, and quality control through production release.
- Collaborate effectively across departments, using influence to manage dependencies and drive positive outcomes.
- Establish and manage a sustain / DevOps team for operational support and iterative changes based on evolving business needs.
- Plan and execute upgrades and enhancements with zero unplanned business downtime.
- Share ownership of cloud cost optimization and drive cost-effective resource utilization.
- Foster a culture of innovation and learning, promoting active upskilling within the team, particularly in GenAI and LLM-based Performance Indicators (KPIs) :
- Robust contracts with implementation partners addressing competency, commercials, and risk management.
- On-time, on-budget delivery of program milestones.
- High quality of delivery, including minimized scope creep, effective change management, and low defect rates in production.
- Demonstrated innovation through GenAI / LLM implementations and measurable improvements in user adoption of BI solutions.
- Successful cloud cost optimization Skills Have :
- AWS services : Athena, Bedrock, RDS, Lambda Cloud Functions.
- BI & Data tools : Tableau, Alteryx, and advanced SQL.
- Strong expertise in data sizing, architecture, and performance tuning.
- Knowledge of DevOps practices for Data & BI systems.
- Proven experience integrating LLM-based GenAI solutions into BI workflows.
- Strong understanding of cost management and optimization in cloud to Have :
- Experience with data governance frameworks and compliance requirements.
- Knowledge of data warehousing concepts and ETL best practices.
- Familiarity with Python or other programming languages for data manipulation and automation.
- ITIL or Agile / Scrum certification for managing projects and operational & Qualifications :
- Bachelors or Masters degree in Computer Science, Data Analytics, Information Technology, or a related field.
- 1015 years of experience in Data, BI, or Analytics roles, with at least 5+ years in a leadership or managerial position.
- Certifications in AWS, Tableau, or Alteryx preferred.
Title : Senior Manager Data & Business Intelligence (Cloud & GenAI Expertise)
(ref : hirist.tech)