Function Head - Data Sourcing

Job Description

Location – Bangalore

Business Insight:

At Société Générale, we are convinced that people are drivers of change, and that the world of tomorrow will be shaped by all their initiatives, from the smallest to the most ambitious.

Whether you’re joining us for a period of months, years or your entire career, together we can have a positive impact on the future. Creating, daring, innovating and taking action are part of our DNA.

If you too want to be directly involved, grow in a stimulating and caring environment, feel useful on a daily basis and develop or strengthen your expertise, you will feel right at home with us!

Still hesitating?

You should know that our employees can dedicate several days per year to solidarity actions during their working hours, including sponsoring people struggling with their orientation or professional integration, participating in the financial education of young apprentices and sharing their skills with charities. There are many ways to get involved.

Responsibilities:

Role Summary

The Manager – MDL/DAT/Sourcing will lead the data sourcing function within the Models (MDL) team in Bangalore, supporting Credit Risk model development. The role ensures high-quality, well-governed data is delivered for model development, calibration, and monitoring while managing key governance and stakeholder interactions.

Role Description

·        Lead and manage a four-member MDL/DAT/Sourcing team, ensuring effective delivery of data sourcing activities for Credit Risk models. Drive team performance through clear planning, prioritization, and execution of deliverables.

·        Support the Data Management Office (DMO) by defining and maintaining Critical Data Elements (CDEs) and their associated metadata. Ensure alignment with regulatory expectations and internal data governance standards.

·        Oversee resolution of data quality issues by tracing data lineage end-to-end to identify root causes. Coordinate with IT and Business Units to implement timely and sustainable remediation.

·        Lead data homologation efforts across systems to ensure consistency and accuracy during system upgrades or migrations. Validate that data in new systems aligns with legacy system outputs and business expectations.

·        Act as a key liaison between data, technology, and business stakeholders to ensure seamless collaboration. Drive alignment on priorities, timelines, and regulatory commitments.

·        Manage project planning and execution across multiple initiatives, ensuring timely delivery against defined milestones. Monitor progress, mitigate risks, and ensure high standards of quality and compliance.

 

Profile Required:

·        Experience: 10+ years of experience in Data Management, preferably within the Credit Risk domain, with demonstrated leadership of small to mid-sized teams. Proven ability to manage end-to-end data lifecycle in a regulatory-driven environment.

·        Domain Expertise: Strong understanding of Credit Risk data, models (PD, LGD, EAD), and associated data requirements. Familiarity with concepts such as Critical Data Elements (CDEs), data lineage, and regulatory data governance expectations is essential.

·        Data Governance & Quality Skills: Hands-on experience in defining data standards, implementing data quality frameworks, and driving issue resolution processes. Ability to work with metadata, data dictionaries, and governance tools.

·        Analytical & Problem-Solving Skills: Strong ability to trace and analyze data issues across complex data flows and systems. Experience in identifying root causes and driving structured remediation with stakeholders.

·        System & Data Knowledge: Good understanding of data architecture, data sourcing, and transformations across systems. Experience with data homologation, system migrations, or reconciliation between legacy and new platforms is highly desirable.

·        Stakeholder Management: Proven ability to collaborate effectively with cross-functional teams, including IT, Business Units, Risk, and Data Governance teams. Strong communication skills to translate technical issues into business context.

·        Leadership & Project Management: Demonstrated ability to lead teams, manage multiple priorities, and deliver projects on time. Strong planning, execution, and risk management capabilities.

·        Tools & Technical Skills: Proficiency in SQL and data analysis tools is preferred. Familiarity with data governance or lineage tools will be an advantage.

·        Education: Bachelor’s or Master’s degree in Engineering, Data Science, Finance, or a related field preferred.

Specific Context:

Client Focus, Team Sprit, Commitment, Responsibility, Ownership, and Innovation

Why Join Us:

“We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.