Data Service layer Engineering Lead

Do you want your voice heard and your actions to count?

Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the world’s leading financial groups. Across the globe, we’re 120,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world.

With a vision to be the world’s most trusted financial group, it’s part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career.

Join MUFG, where being inspired is expected and making a meaningful impact is rewarded.

The selected colleague will work at an MUFG office or client sites four days per week and work remotely one day. A member of our recruitment team will provide more details.

Job Summary:

We are seeking a highly skilled and experienced Vice President (VP) for our Data Service Layer Engineering team. The VP will be responsible for designing the solutions and implementing the data access management and data management framework across the Business Intelligence tools and Data Pipeline platforms. This role requires an experienced and dynamic Individual who can bridge technical expertise with business needs, ensuring our data solutions align with our future data strategy along with the evolving requirements of the business. The ideal candidate will possess deep expertise in data management framework, BI tools, data access management and the ability to lead cross-functional teams in delivering high-quality data service layer solutions.

Key Responsibilities:

1. Data Management Framework:

• Develop and implement enterprise-wide data management frameworks across Pipeline and service layer products ensuring alignment with business objectives.

• Collaborate with Data Stewards to Ensure the framework is aligned with Data governance principles, policies and standards.

2. BI Tool Expertise & Data Visualization:

• Ensure the effective integration of BI tools (e.g., Tableau, Power BI, BusinessObjects) with backend data services to deliver actionable insights to the business.

• Advise the business on the best practices for visualizing complex data and leveraging BI tools to drive data-driven decision-making.

• Lead efforts to improve the user experience and functionality of the BI tools, optimizing reporting and dashboard performance.

3. Data Service Layer Solution Design:

• Design and implement robust data service layer architectures to support business intelligence (BI) tools, including Tableau, Power BI, and BusinessObjects.

• Provide technical leadership in the development of data solutions, ensuring they are scalable, efficient, and aligned with industry best practices.

• Collaborate with the data service layer delivery team to identify, design, and implement service-oriented solutions that cater to both internal and external stakeholders’ needs.

4. Data Access Management & Security:

• Provide expertise in data access management within the BI layer, ensuring robust governance and security protocols are in place for sensitive financial data.

• Collaborate with the Chief Data Office (CDO), Other business lines (GFCD, GCIB) to implement data access and security policies that comply with regulatory requirements and industry standards.

• Maintain data privacy standards and ensure proper segregation of duties and user access management for data consumption.

5. Cross-Functional Collaboration & Stakeholder Management:

• Act as a liaison between business lines and the data service layer engineering team, ensuring clear communication of business needs, technical constraints, and priorities.

• Partner with business stakeholders and SMEs to translate business requirements into technical solutions, while providing actionable advice on data architecture and services.

• Collaborate with the business analysts, and other key business units to align data service layer solutions with the strategic objectives of the organization.

6. Financial Domain Focus and Business Acumen:

• Leverage extensive experience in the financial domain to tailor data solutions that address specific industry challenges, including compliance, risk management, and regulatory reporting.

Required Qualifications:

• A minimum of 8 years of experience in IT with strong Programming and BI tools background.

• Extensive experience in the financial domain, with