This is a rare and distinctive role at the intersection of People, Technology, and AI.
You will own Keyloop’s People Technology ecosystem and HR data infrastructure, including rebuilding a Python-based analytics platform connected to our data lake and core HR systems. This platform will deliver secure, SSO-enabled insights and power reporting across People Analytics, Talent Acquisition, L&D, and Engagement. You will also lead integrations with systems such as SAP SuccessFactors.
Alongside this, you will act as an internal expert in agentic AI. You will enable teams to confidently use AI and data, combining hands-on building with strong teaching and influencing.
Operating with high autonomy, you will partner with senior leadership to shape both what we build and how AI is adopted globally.
Role & Resonsibilities
- Own and evolve Keyloop’s People Data Platform and HR analytics dashboard (Python/Streamlit), delivering insights via SSO
- Design and maintain data architecture (pipelines, schemas, models) across SAP SuccessFactors and other HR systems
- Manage API integrations and data access with core platforms and third-party vendors
- Deliver insights across People Metrics, TA, L&D, and Engagement, partnering with functional leads
- Own BAU reporting, driving accuracy, automation, and self-service adoption
- Ensure GDPR and data compliance, including access controls and auditability
- Build and scale AI-driven HR solutions (LLMs, agentic workflows, document processing, large-scale pipelines)
- Develop production-ready AI use cases (e.g., attrition insights, skills inference, policy Q&A, candidate processing) and evaluate emerging tools
- .Act as HR AI SME, enabling adoption through training, playbooks, and self-service frameworks across HR and G&A
- .Partner with senior leadership, IT (AWS), and governance forums to shape the People Technology roadmap and responsible AI practices
Skills & Experience
- Strong Python expertise building production-grade data applications, dashboards, or tools.
- Hands-on experience in data engineering (ETL pipelines, API integrations, data modelling).
- Proven track record integrating LLM/AI APIs (e.g., Anthropic, OpenAI) into live applications.
- Solid knowledge of AWS and modern data/visualisation frameworks (e.g., Streamlit, Plotly).
- Experience with SSO/authentication (OAuth2, SAML, Azure AD / Entra ID).
- Strong data literacy and storytelling, with the ability to communicate insights to non-technical audiences.
- High autonomy with a rigorous approach to data privacy, security, and compliance. Desirable
- Experience with SAP SuccessFactors or similar HRIS, including API/OData integration.
- Proficiency in Power BI (data modelling, DAX, dashboards).
- Familiarity with agentic AI frameworks (e.g., LangChain, CrewAI).
- Experience designing or delivering learning/upskilling programmes.
- Understanding of HR data domains (e.g., headcount, attrition, hiring, engagement).
- Exposure to Azure ecosystem and/or Terraform.
- Experience working with senior stakeholders, vendors, and global teams.


