Senior Lead - Data Risk & Controls

Job Summary

The Senior Lead, Enterprise Data Risk plays a key role in supporting the management and governance of Data Risk across ANZ. The role provides specialist leadership in the development and uplift of enterprise Data Risk practices, supporting effective risk management outcomes across Data Management, Records Management and Responsible Use of Data. Working closely with business, technology and risk stakeholders, the role translates enterprise frameworks, policies, standards and risk appetite expectations into practical guidance, governance practices, and implementation approaches with a specific focus on controls uplift.

The role leads a small specialist team and supports the ongoing maturity of ANZs Data Risk capability through the development of governance frameworks, accountability models, reporting and adoption activities with a specific focus on controls uplift.

Banking is changing and we re changing with it, giving our people great opportunities to try new things, learn and grow. Whatever your role at ANZ, you ll be building your future, while helping to build ours.

Role Details

• Role Location: Bengaluru
• Role Type: Permanent, Fulltime

Responsibilities

• Lead the ongoing enhancement and operationalization of ANZ s Data Management Control Library, including standard control requirements, implementation guidance and effective-practice examples.
• Shape risk-based controls across the data lifecycle, including controls supporting data quality, critical data, metadata, lineage, records management and responsible use of data.
• Partner with business, data and technology teams to translate enterprise requirements into practical controls that can be implemented and sustained within business processes and technology environments.
• Assess the data control environment to identify gaps, systemic weaknesses and opportunities to improve control design, coverage, automation, monitoring and effectiveness.
• Lead specialist control uplift initiatives and provide enterprise insights on implementation progress, control maturity and the effectiveness of actions intended to reduce Data Risk.

Qualifications

• 10+ years of overall experience in Data Management, Data Governance, Data Risk, or Data Controls,
• At least five years specialist experience designing, implementing or uplifting data controls within a large, complex data, technology or risk environment.
• Strong knowledge of data control frameworks and associated capabilities, including data quality monitoring, critical data, metadata management, data lineage and control effectiveness assessment.
• Demonstrated ability to translate policy, risk and regulatory requirements into practical control requirements, implementation guidance and sustainable ways of working across business and technology teams.
• Experience developing or managing an enterprise control library, control taxonomy, control standards or similar reusable control capability.
• Experience with data governance and observability tooling that enables control implementation, automation, monitoring, testing and evidence capture.
• Experience influencing enterprise-wide control uplift within financial services or another highly regulated industry.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.