Description
Key Responsibilities
Leadership & Team Mentoring
- Lead, mentor, and develop a team of data engineers and BI developers.
- Communicate business priorities, define goals, and establish clear KPIs to track performance and delivery.
- Foster a collaborative and learning-oriented culture across technical and business functions.
Data Engineering
- Design, build, and maintain scalable and efficient data pipelines and integrations across multiple internal and external systems.
- Oversee ETL/ELT processes ensuring data accuracy, reliability, and timeliness.
- Manage data models and data warehouse structures optimized for reporting, analytics, and advanced use cases (e.g., predictive modeling, machine learning).
- Implement best practices in data architecture, automation, and version control (e.g., Git).
Business Intelligence & Reporting
- Oversee the design and delivery of SSRS and Power BI dashboards, ensuring usability and alignment with business goals.
- Establish and manage data visualization standards, reusable datasets, and semantic models for self-service analytics.
- Collaborate with business stakeholders to gather requirements and translate them into technical specifications and BI solutions.
Data Governance & Quality
- Implement and enforce governance policies around data definitions
- Ensure data validation, auditing, and reconciliation processes are automated and transparent.
Cross-Functional Collaboration
- Partner with product managers to align on priorities and business leaders to enable data-driven decisions.
- Communicate complex data concepts in a clear, actionable way for both technical and non-technical audiences.
Core Competencies
- Strategic Thinking: Balances short-term delivery with scalable, long-term architecture.
- Leadership: Inspires and mentors cross-functional teams, fostering accountability and curiosity.
- Analytical Agility: Translates complex data into clear insights and business recommendations.
- Collaboration: Builds strong relationships with business and technology partners.
- Execution: Delivers reliable, high-quality data solutions under tight timelines