Own the end to end architecture and delivery of strategic data and AI platform programmes, from early solution shaping through implementation.
Collaborate with business stakeholders, enterprise architects, delivery leaders, and partners to define and execute the enterprise data and AI strategy.
Architect and guide implementation using the Databricks Data Intelligence Platform, covering lakehouse architecture, data engineering, governance, machine learning, and AI enabled analytics.
Define reference architectures, domain data models, and integration patterns across utility domains such as grid operations, asset management, customer operations, market operations, and smart metering.
Lead AI architecture and AI engineering for utility use cases such as predictive maintenance, outage prediction, demand forecasting, anomaly detection, and operational decision support, while embedding responsible AI and governance.
Establish and govern data management, quality, security, and compliance frameworks aligned with utility regulatory, operational resilience, and privacy requirements.
Lead solutioning and architecture during pre sales, including RFP responses, target and transition architectures, transformation roadmaps, and client workshops.
Provide hands on architectural leadership within a global delivery model, ensuring consistency, quality, and alignment across geographically distributed teams.
Mentor and develop senior architects and technical leaders, contributing to design authority and architectural best practice.
Required Qualifications
15+ years’ experience in data, analytics, and platform architecture, delivering large scale enterprise transformations.
5+ years of hands on experience with Databricks or similar modern cloud data platform technologies, including lakehouse architecture, Delta Lake, and governed enterprise data platforms.
Strong experience in AI architecture and AI engineering, including end to end AI/ML solution design covering data pipelines, feature engineering, model lifecycle, deployment, and MLOps.
Experience delivering production grade AI solutions in regulated or complex environments, with awareness of responsible AI, governance, and explainability.
Deep knowledge of modern data and AI architectures, including lakehouse, medallion design, federated governance, cloud native integration, and AI enabled analytics patterns.
Proven experience leading or supporting architecture and solution design during pre sales and large bids.
Excellent communication skills, with the ability to influence senior technical and non technical stakeholders.
Demonstrated ability to lead, mentor, and develop globally distributed, cross functional teams.
Preferred Experience
Experience in Utilities or Energy data transformation, including one or more of grid operations, asset performance management, smart meter analytics, outage management, renewable integration, or customer operations.
Familiarity with utility industry data standards, interoperability patterns, and enterprise governance frameworks.
Experience operating in multi vendor and multi cloud environments