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Data Management and QC Manager

Data Management and QC Manager

Req ID:  84845
Department:  Insto Ops Onboarding
Division:  Institutional
Location:  Bangalore

About Us


At ANZ, we're applying new ways technology and data can be harnessed as we work towards a common goal: to improve the financial wellbeing and sustainability of our millions of customers.

About the Role

As a Data & QC Manager, you will play an important role in ensuring the accuracy, integrity, and security of client-related data. You will be responsible for developing, implementing, and maintaining efficient data management processes and systems across multiple platforms, allowing our team to provide superior client service and make informed decisions based on accurate and up-to-date information. The role is required to understand areas of improvement and challenges with current processes across operations and provide solutions to automate/enable self-service for our clients. You will seek to understand the underlying needs and objectives of business stakeholders, conduct in-depth analysis, identify opportunities for process and service improvement, and translate this to actionable items for implementation.

 

To lead and develop the Assurance process for KYC & Onboarding including performing quality control, record remediation (where required), reporting, prepare dashboards and other KYC Assurance associated activities. This role forms a part of the larger compliance assurance function which also includes supporting larger projects and initiatives in the Compliance stream.

 


Role Location: Bengaluru - Manyata 
Role Type: Permanent Full Time

What will your day look like?

  • Data Governance and Strategy: Develop and implement data management strategies and policies aligned to our client service ambitions and industry best practices to enhance the client service experience and ensure data quality, integrity, security consistency, and compliance with relevant laws and regulations.
  • Data Quality Assurance: Implement robust data quality control measures to ensure accuracy, consistency, and reliability of data used for client service activities. 
  • Data Collection: Oversee the collection and integration of data from various sources to create a unified and consistent data repository. 
  • Data Integration and Migration: Collaborate with cross-functional teams to facilitate smooth data integration and migration processes when onboarding new clients, implementing system upgrades / process changes.
  • Data Quality Management: Implement processes to assess, monitor, and improve data quality, identifying and rectifying data discrepancies or inconsistencies.
  • Database Management: Oversee the collection, storage, organisation, and retrieval of client data, ensuring accuracy, security, and confidentiality throughout the data lifecycle.
  • Data Analysis and Reporting: Use data analysis tools to provide valuable insights from client data to enable data-driven decisions and actionable recommendations.
  • Data Privacy and Security: Maintain strict data privacy protocols and security measures to protect sensitive information from unauthorised access or breaches.
  • Team Leadership: Lead and manage data management specialists, providing guidance, support, and performance evaluations to ensure efficient and effective data operations.
  • Data Compliance: Stay updated on industry best practices, data-related regulations, and compliance requirements, ensuring compliance to data-related laws.
  • Stakeholder Communication: Communicate data-related insights and recommendations to various stakeholders, promoting data literacy and data-driven decision-making across departments.
  • Data Training and Awareness: Conduct data management training sessions for relevant teams to enhance data literacy and promote awareness of data-related policies and procedures.
  • Process Optimisation: Continuously evaluate and improve data management processes, systems, and tools to enhance efficiency, accuracy, and data accessibility.

What will you bring?


To grow and be successful in this role, you will ideally bring the following:

 

  • Bachelor's or master’s degree in computer science, Information Management, Data Science, or a related field.

  • 12+ years of experience in data management or a related role, with 3+ years of experience in team leadership or management.

  • Proficiency in data analysis and visualization tools such as Excel, Qliksense, SQL, Python, R, Tableau, Alteryx, Power BI, etc.

  • Strong understanding of data governance principles, data quality management, and data security protocols.

  • Proficiency in data analysis tools and database management systems [Insert].

  • Knowledge of relevant data privacy regulations and industry best practices.

  • Excellent leadership, communication, and interpersonal skills.

  • Ability to collaborate effectively with cross-functional teams and senior management.

  • Strong problem-solving skills and attention to detail.

  • Proven track record of successfully implementing data management strategies and driving process improvements.

Preferred Additional Skills:

  • Experience in Client Services for Transaction Banking products, Lending and Client Onboarding data management.

  • Certifications in data management, data governance, or related areas.

So why join us?

 

ANZ is a place where big things happen as we work together to provide banking and financial services across more than 30 markets. With more than 7,500 people, our Bengaluru team is the bank's largest technology, data and operations centre outside Australia. In operation for over 33 years, the centre is critical in delivering the bank's strategy and making an impact for our millions of customers around the world. Our Bengaluru team not only drives the transformation initiatives of the bank, it also drives a culture that makes ANZ a great place to be. We're proud that people feel they can be themselves at ANZ and 90 percent of our people feel they belong. 

 

We know our people need different things to be great in their role, so we offer a range of flexible working options, including hybrid work (where the role allows it). Our people also enjoy a range of benefits including access to health and wellbeing services.

 

We want to continue building a diverse workplace and welcome applications from everyone. Please talk to us about any adjustments you may require to our recruitment process or the role itself. If you are a candidate with a disability or access requirements, let us know how we can provide you with additional support.

 

To find out more about working at ANZ visit https://www.anz.com/careers/. You can apply for this role by visiting ANZ Careers and searching for reference number 84845

Job Posting End Date

14/01/2025 , 11.59pm, (Melbourne Australia)

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