*hackajob
is collaborating with
Barclays
to connect them with exceptional professionals for this role.*
Join us as an "AVP Data Governance" at Barclays, where you will support the Product Office by leading data-driven insight, executive reporting, operational governance and analytical decision support across product delivery, tooling, incident management and governance forums.

The role will work closely with the Chief Data Office to ensure Product Office reporting and analysis reflects data-governance expectations, data-quality considerations, Data and Records-management awareness, enterprise controls and appropriate standards-aligned terminology.

To be successful as an “AVP Data Governance”, you should have experience with:
- Proficient on Python and hands on experience with machine learning, NLP, GenAI / LLM-enabled analytics, classification models, anomaly detection, forecasting or clustering.
- Dashboarding and MI using Tableau, Power BI, Excel.
- Experience working with JIRA, confluence and SharePoint.




- Experience working with Alation or any other meta data management tool.
- Lead reporting and analytics activities for the Product Office, including portfolio performance, tooling demand, delivery status, backlog movement, incident themes, control metrics and operational KPIs.
- Use Python, SQL and advanced analytics techniques to clean, structure, analyse and interpret complex datasets, including operational, incident, Jira, ServiceNow, dashboard and governance data.
- Apply data-science methods such as classification, clustering, NLP, anomaly detection or predictive analysis where appropriate to identify recurring themes, systemic issues and improvement opportunities .

Desirable Skillsets/ Valuable To Have
- Understanding of regulatory, audit, risk and control expectations relevant to banking data, analytics, AI and records management
- Exposure to data platforms and governance tools such as Snowflake, Databricks, Alation, Collibra, BDP-like data portals, metad

📌 AVP Data Governance (Pune Division)
🏢 hackajob
📍 Pune Division