Home Jobs Data Architect (Financial Services) Manager, Technology Consulting
Back to Jobs

Data Architect (Financial Services) Manager, Technology Consulting - Job Opportunity at EY

Singapore, Singapore
Full-time
Senior
Posted: July 14, 2025
On-site
Based on the senior-level requirements, Singapore location, and EY's market position, the total compensation package likely ranges from SGD 120,000 to SGD 180,000 annually. This estimate considers the minimum 6 years of financial services experience, specialized MDM expertise, and people management responsibilities. Singapore's competitive fintech and financial services market, combined with EY's global consulting premium, suggests the role commands above-market compensation with additional performance bonuses and benefits.

Benefits

Global career development opportunities with access to EY's worldwide network and diverse project portfolio
Comprehensive continuous learning programs designed to build future-ready skills and navigate industry changes
Flexible career progression framework allowing professionals to define success on their own terms
Inclusive and diverse workplace culture that embraces individual uniqueness and empowers voice amplification
Leadership development initiatives providing insights, coaching, and confidence-building for transformative leadership roles
Access to cutting-edge technology and proven global methodologies for service delivery excellence
Exposure to multi-disciplinary teams across financial services sectors including asset management, banking, insurance, and private equity

Key Responsibilities

Drive strategic transformation of finance functions for major financial institutions by aligning operating models and infrastructure with business objectives
Lead enterprise-wide data architecture initiatives focusing on Master Data Management (MDM) implementation across full SDLC lifecycle
Architect comprehensive solutions enabling 360-degree customer view while implementing robust data quality frameworks
Design and implement conceptual and logical data models for insurance and banking sectors across Finance, Retail Bank, Cards, and Marketing domains
Deliver high-impact consulting services spanning finance function transformation, customer effectiveness, operations optimization, and regulatory change management
Manage multiple client engagements simultaneously while building and leading high-performing multi-disciplinary teams
Provide trusted advisory services to senior stakeholders on performance management, program advisory, and enterprise intelligence initiatives
Leverage advanced analytics and technology solutions to deliver functional efficiencies and transform the strategic role of finance in client businesses

Requirements

Education

Bachelor's degree or equivalent

Experience

Minimum 6 years of financial services experience, with 2 years of data technology experience

Required Skills

Enterprise Master Data Management (MDM) Data Modeling Data Governance Meta Data Management Data Architecture SAS and IBM MDM tool experience preferred Strong analytical, problem-solving and communication skills Strong presentation skills and proficiency in PowerPoint, Word and Excel Good understanding of economic or market issues and ability to interpret their impact on clients Strong people management skills Understanding of Enterprise Data Warehouse
Advertisement
Ad Space

Sauge AI Market Intelligence

Industry Trends

Financial services organizations are increasingly prioritizing data-driven decision making and digital transformation initiatives, creating unprecedented demand for senior data architects who can bridge technical expertise with business strategy. The regulatory landscape in financial services continues to evolve with stricter data governance requirements, particularly in areas like GDPR, Basel III, and local financial regulations, necessitating sophisticated data architecture solutions that ensure compliance while enabling innovation. The shift toward customer-centric banking and insurance models is driving massive investments in Master Data Management platforms to achieve unified customer views across multiple touchpoints and business lines. Organizations are recognizing that fragmented data architectures limit their ability to deliver personalized services and optimize customer lifetime value. Cloud adoption in financial services is accelerating, with major institutions migrating legacy data warehouses to cloud-native architectures, creating demand for architects who understand both traditional enterprise systems and modern cloud data platforms. The integration of artificial intelligence and machine learning capabilities into core banking and insurance operations requires sophisticated data pipelines and governance frameworks that senior data architects must design and implement.

Role Significance

Typically manages teams of 5-8 technical professionals including data engineers, analysts, and junior architects, while collaborating with cross-functional teams of 15-20 members across consulting, assurance, and transaction services divisions.
This is a senior-level position requiring both technical expertise and business acumen, positioned to influence strategic data initiatives across major financial institutions. The role combines individual contributor responsibilities with team leadership, requiring the ability to translate complex technical concepts into business value propositions for C-level stakeholders.

Key Projects

Leading enterprise-wide MDM implementations for multinational banks involving customer, product, and reference data consolidation across multiple business lines and geographic regions Designing data architecture solutions for regulatory reporting initiatives such as Basel III compliance, stress testing, and risk management frameworks Implementing customer 360 platforms for retail banking organizations to enable personalized product recommendations and improved customer experience Architecting data governance frameworks for insurance companies to support actuarial modeling, claims processing optimization, and regulatory compliance Developing data quality assessment and remediation strategies for merger and acquisition activities in the financial services sector

Success Factors

Deep technical expertise in Master Data Management platforms combined with comprehensive understanding of financial services business processes and regulatory requirements enables delivery of solutions that meet both technical specifications and business objectives Strong stakeholder management capabilities to navigate complex organizational hierarchies and build consensus among diverse groups including IT leadership, business users, compliance teams, and external regulators Proven ability to translate technical architecture decisions into business value propositions that resonate with senior executives and justify significant technology investments Adaptability to rapidly changing regulatory environments and emerging technologies while maintaining focus on long-term strategic data architecture vision Excellence in project management and team leadership to coordinate complex implementations across multiple workstreams, vendors, and business units while maintaining quality standards and meeting aggressive timelines

Market Demand

High demand driven by digital transformation initiatives across Asia-Pacific financial institutions and regulatory compliance requirements necessitating sophisticated data governance frameworks.

Important Skills

Critical Skills

Master Data Management (MDM) expertise is absolutely essential as financial institutions increasingly recognize that fragmented customer, product, and reference data severely limits their ability to deliver personalized services, ensure regulatory compliance, and optimize operational efficiency. The ability to architect and implement enterprise-wide MDM solutions directly impacts client business outcomes and competitive positioning. Data governance and metadata management capabilities are critical for ensuring that complex data architectures remain maintainable, compliant, and aligned with business requirements. Financial services organizations face intense regulatory scrutiny, making robust data governance frameworks essential for avoiding compliance violations and operational risks. Financial services domain knowledge spanning banking, insurance, and capital markets is crucial for understanding how data architecture decisions impact business processes, regulatory requirements, and customer experiences. This expertise enables architects to design solutions that support business objectives rather than merely meeting technical specifications. Stakeholder management and communication skills are vital for success in consulting environments where architects must build consensus among diverse groups including IT leaders, business users, compliance teams, and external regulators while managing competing priorities and conflicting requirements.

Beneficial Skills

Cloud platform expertise in AWS, Azure, or Google Cloud Platform enhances career prospects as financial institutions accelerate cloud adoption and seek architects who can design hybrid and multi-cloud data architectures that meet security and compliance requirements Artificial intelligence and machine learning knowledge becomes increasingly valuable as financial institutions integrate AI capabilities into core operations, requiring data architects who understand how to design data pipelines and governance frameworks that support advanced analytics use cases Regulatory technology (RegTech) understanding provides competitive advantages in a market where compliance costs continue to rise and institutions seek technology solutions to automate regulatory reporting and risk management processes Project management certification (PMP) and agile methodologies expertise support career advancement in consulting environments where architects increasingly take accountability for delivery timelines, budget management, and client satisfaction metrics

Unique Aspects

This role uniquely combines deep technical data architecture expertise with strategic business consulting capabilities, requiring professionals who can operate effectively at both technical implementation and C-suite advisory levels
The position offers exclusive access to EY's global Financial Services Office network, providing exposure to cutting-edge regulatory developments and industry best practices across multiple geographic markets
Unlike typical corporate data architect roles, this position involves continuous exposure to diverse financial institutions and business models, accelerating professional development and industry knowledge
The role integrates multiple service lines including advisory, assurance, and transaction services, providing comprehensive understanding of how data architecture impacts various aspects of financial services operations
Positioning within EY's consulting practice offers unique opportunities to influence industry standards and regulatory approaches through participation in thought leadership initiatives and regulatory body consultations

Career Growth

Progression to senior manager level typically occurs within 3-4 years with strong performance, while advancement to director or principal positions requires 5-7 years of demonstrated success in client relationship management and business development.

Potential Next Roles

Senior Manager or Director positions within EY's Financial Services practice, leading larger consulting engagements and developing new service offerings Chief Data Officer or Head of Data Architecture roles within major financial institutions, taking accountability for enterprise-wide data strategy and governance Principal or Partner track positions at major consulting firms, focusing on data and analytics transformation services for financial services clients Specialized roles in regulatory technology (RegTech) or financial technology (FinTech) organizations, leading product development for data management solutions

Company Overview

EY

EY is one of the "Big Four" professional services firms with a global presence spanning over 150 countries and territories. The organization maintains a dedicated Financial Services Office (FSO) that exclusively focuses on banking, insurance, asset management, and capital markets clients, providing integrated advisory, assurance, tax, and transaction services. EY's technology consulting practice combines industry expertise with cutting-edge digital solutions to help financial institutions navigate complex regulatory environments and digital transformation initiatives.

EY holds a leading position in the global financial services consulting market, consistently ranked among the top providers of risk management, regulatory compliance, and digital transformation services. The firm's extensive global network and industry-specific expertise provide competitive advantages in securing large-scale, multi-jurisdictional engagements with multinational financial institutions.
Singapore serves as EY's regional hub for Asia-Pacific financial services, supporting major banking centers across the region including Hong Kong, Tokyo, Sydney, and emerging markets throughout Southeast Asia. The Singapore office plays a crucial role in serving multinational banks and insurance companies expanding their regional operations.
EY emphasizes collaborative teamwork, continuous learning, and inclusive leadership development. The firm's culture promotes innovation and entrepreneurial thinking while maintaining high standards for client service and professional excellence. Work environment tends to be fast-paced and demanding, with significant travel requirements for client engagements and opportunities for international assignments.
Advertisement
Ad Space
Apply Now

Data Sources & Analysis Information

Job Listings Data

The job listings displayed on this platform are sourced through BrightData's comprehensive API, ensuring up-to-date and accurate job market information.

Sauge AI Market Intelligence

Our advanced AI system analyzes each job listing to provide valuable insights including:

  • Industry trends and market dynamics
  • Salary estimates and market demand analysis
  • Role significance and career growth potential
  • Critical success factors and key skills
  • Unique aspects of each position

This integration of reliable job data with AI-powered analysis helps provide you with comprehensive insights for making informed career decisions.