● AI agent development: Building and refining AI agents (e.g., Glean or custom agents) to automate knowledge retrieval, extract intelligence, and support decisions.
● Automation workflows: Design and build automation pipelines to eliminate manual and repetitive processes.
● Data analysis & pipelines: Write Python and SQL to extract, transform, and analyse data from internal systems (Salesforce, data warehouse, etc.), including building scoring and prioritization models.
● Stakeholder discovery: Engage with cross-functional teams to understand pain points, document requirements, and translate them into structured problem statements.
● Process improvement: Identify workflow inefficiencies, propose solutions, and drive implementation end-to-end with strong ownership.
● Project management: Independently scope, sequence, and deliver technical projects.
● Enablement/Team management: Guide or mentor junior team members on technical execution, and act as the go-to resource for AI/automation capability across the org