DataBeat - Lead Agentic AI Solutions Manager

About the Role :

This is a high-impact, hybrid role designed for a "technical operator."

You aren't just strategizing about AI; you are building it and ensuring it sticks.

Reporting directly to the Head of Agentic Transformation, you will bridge the gap between business strategy and production-ready automation.

As the Lead Agentic AI Solutions Manager, you will own the entire lifecycle of transformation : from mapping messy human processes and scoping automation briefs to writing the code, connecting the APIs, and training teams to adopt their new "AI colleagues."

If you are a builder who loves seeing your work run in production and a strategist who cares about the human impact of technology, this role is for you.

What Youll Do :

1. Architecture, Build & Deployment :

- LLM Engineering : Develop natural language query interfaces, intelligent routing agents, and RAG-powered document processing pipelines.

- Technical Integration : Own the API layer (REST, webhooks, JSON, OAuth) between business systems like CRMs, HR platforms, and Ad Servers.

- Prototyping : Rapidly move from a "whiteboard concept" to a "minimum viable agent," testing with real users and iterating based on performance.

Process Discovery & Scoping :

- Strategic Prioritization : Maintain and sequence a backlog of transformation initiatives based on ROI, time-savings, and technical feasibility.

- Briefing : Translate complex business pain points into clear technical specifications with defined edge cases and success criteria.

Change Management & Adoption :

- Relationship Building : Work closely with team leads to handle resistance and ensure that automated tools are actually utilized by the workforce.

- Governance & Reliability : Set up observability (logging, alerting) and write runbooks so that automations are maintainable and compliant (GDPR/Data Privacy).

Specialized AdOps Automation :

- Reporting Sync : Build automated data pipelines between DSPs/SSPs and internal reporting tools to eliminate manual data reconciliation.

What Youll Need :

Must-Have Experience :

- Hands-on AI Delivery : Proven experience building and deploying LLM-powered tools or agents in a production environment (not just toy projects).

- Technical Stack : Proficiency in Python or JavaScript for custom scripting and mastery of at least one

automation platform (n8n, Make, LangChain).

- The Integration Mindset : Comfortable connecting systems that "aren't designed to talk to each other" using APIs and webhooks.

- Operational Excellence : Strong stakeholder management skills and the ability to move a project forward independently from spec to live status