Head of Data Consent

**E&A Head of Solution Architecture - Data Consent & Governance (C15)**

**Location: Singapore**

**Brief Description of the Organization**

Citi, the leading global bank, has approximately 20 million customer accounts and does business in more than 17 countries in Asia / EMEA and jurisdictions. Our mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We strive to earn and maintain our clients’ and the public’s trust by constantly adhering to the highest ethical standards and making a positive impact on the communities we serve.

**Overview of the Role**

Solution Engineering & Architecture Head for **Data Consent & Governance **function will be responsible for Data, Consent & Governance strategy for global customer data management & operational management capabilities, data quality, data lineage, trusted sources management, supporting Personal Banking (PB APAC & EMEA).

Specifically, this role is expected to develop data & governance strategy aligned with Citi’s vision, covering market insights, perform competitive assessments, understand, and inform business and technology strategy, document the reference architecture, and maintain a roadmap of capability that align with Business drivers and investments. This is a Leader of Leaders role and the person joining this role will manage multiple teams through other managers. This role and function will be an integral member of the technical & functional leadership team

A deep understanding of big data, data lineage, data quality, authorized data sources management, data consent and governance, data management, customer DNA, and lifecycle, data linkages and metadata management, data catalog management, PII and data security considerations, managing data at scale, data transformation, data tokenization, anonymization, masking, redaction are crucial for the success of this role.

In partnership with regional and enterprise architecture leaders the role will require reviewing existing global & regional data landscape, identify gaps based on current challenges, industry trends and future technology development to provide an overarching architecture for data with inroads to AI/ML, Federated Learning, Deep Learning, and cloud adoption challenges related to regulatory data protection requirements and standards & governance.

In partnership with regional and enterprise architecture leaders the role will require reviewing existing regional data landscape, Govern and identify opportunities, gaps risk based on current state, industry trends and future technology development to provide an overarching architecture & guidance for pushing the boundaries in data services, lineage, data quality, data governance framework delivering to our internal and external clients, new and innovative services, and products.

The role requires expertise at evaluating and identifying appropriate technology platform, tools, processes, and alternatives for delivering the company's services and determining the right mix of internally built and externally procured systems and demonstrating how these solutions can be seamlessly integrated into the Citi ecosystem and meeting the organizations compliance and regulatory policies and standards.

This role reports to the Head of Engineering and Architecture, Asia and EMEA PBWMT.

**Primary Responsibilities**:

- Demonstrate technology thought leadership, foster productive business relationships, and build strong sponsorship of our technology architecture and roadmap. Understand and influence business strategy, ensuring it’s informed by current and emerging technology capability and supported by our architecture and roadmap
- Partner with global process owners, program/project teams and functional groups (Risk, Finance, Technology, Operations, Program Management Office (PMO), to deliver objectives in compliance with Citi policies and standards.
- Provide architectural leadership for technology solutions for data architectures, data warehouse, real time data streaming, operational data services and cloud infrastructure initiatives.
- Review & provide Architectural Design considerations and recommendation for developing high volume data ingestion components and ETL solutions to collect data from various internal and external sources
- Recommend data governance processes, security standards, and models that will provide architectural guidelines to support the development initiatives
- Ensures data quality and controls are in place to support of data warehouse processes & reporting
- Provide recommendations of tools & technologies for the cloud and on-prem data warehouse covering various aspects such as metadata, data lineage, authorized data source management, catalogs, privacy enhancements and encryptions, data quality and cleansing, query/reporting tools, data mining, etc.
- Provide domain leadership within regional architecture forums (ARB), ensuring the ref