ESI Central BI 166816

Partner with Product and senior leadership to inform vision and planning for
data engineering and reporting capabilities aligned to Technology and AI
strategy. Own the technical delivery of data pipelines, ETL/ELT processes, and
data platform infrastructure to support reporting and analytics capabilities.
Own the technical delivery of in-product reporting capabilities, including
dashboards, visualisations, and self-service analytics features. Define and
execute the technical strategy for data and reporting capabilities, ensuring
scalable, performant, and maintainable solutions. Partner with the AI & Data
Architect on data architecture decisions and ensure alignment with broader
platform strategy. Collaborate with DevOps, SRE, UX, and QA teams to ensure
operational excellence and quality. Engage with Customer Success and
Professional Services to understand customer needs and inform technical
delivery. Maintain a high-performance team culture and ensure operational
objectives are met across multiple time zones. Mentor direct and indirect
reports to improve professional expertise and career development. Manage team
performance reviews, resource allocation, and retention strategies. Ensure
compliance with data governance, security, and regulatory requirements. ##LI-DNI
Qualifications
15+ years of experience in data engineering, analytics, data science, or related
fields, with at least 5 years in leadership roles Deep hands-on experience in
Databricks, Power BI, AWS Bachelor's or Master's degree in Computer Science,
Engineering, Data Science, or related field. Extensive experience in data
engineering and, with a track record of delivering data platforms. Strong
experience with AWS and modern data engineering technologies including data
lakes, lakehouses, ETL/ELT pipelines, and real-time data processing. Strong
experience with modern analytics technologies including data transformation
tools (dbt) and data warehouses (Databricks, Redshift, or similar). Proven
ability to build and scale distributed engineering teams, including managing
through team leads across multiple locations. Strong understanding of data
modelling, dimensional design, and analytics best practices. Strong
communication and stakeholder management skills, with experience partnering with
Product teams and influencing at executive level. Certifications in Databricks,
AWS, project management, or data governance