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 a strong understanding of financial data processes, governance, and compliance requirements.

Skills & Competencies:

• Expert knowledge of tools, techniques, and manipulation including cloud platforms, programming languages, and modern software engineering practices.

• Strong proficiency in Python, SQL, PostgreSQL, MySQL, and HiveQL

• Must have experience with AWS stack (S3, Redshift, Glue, EMR, HIVE), Apache Airflow, Kafka, Openshift

• Hands-on experience with Snowflake, Databricks, Denodo, Starburst

• Expertise in business intelligence and data visualization tools, with solid hands-on experience in Tableau, Power BI, and/or BusinessObjects.

• Strong knowledge of data architecture, data integration, ETL processes, and cloud data solutions.

• Excellent communication skills, with the ability to effectively engage with both technical teams and business leaders.

• Deep understanding of data governance, compliance regulations and security practices in the context of Business Intelligence.

• Understanding of the Financial Domain Specifically in the Risk and regulatory reporting area.

• Strong Business acumen and adapt at transforming complex financial data into actionable insights.

Preferred Skills:

• Experience with cloud platforms (AWS, Azure, Google Cloud) and big data technologies.

• Familiarity with agile methodologies and project management tools.

• Experience in AI/ML integration with BI solutions for predictive analytics.

Education:

Bachelor's degree in Computer Science or a closely-related discipline, or an equivalent combination of formal education and experience

Relevant certifications in AWS, Snowflake, Starburst or BI tools are a plus.

The typical base pay range for this role is between $139K - $168K depending on job-related knowledge, skills, experience, and location. This role may also be eligible for certain discretionary performance-based bonus and/or incentive compensation. Additionally, our Total Rewards program provides colleagues with a competitive benefits package (in accordance with the eligibility requirements and respective terms of each) that includes comprehensive health and wellness benefits, retirement plans, educational assistance and training programs, income replacement for qualified employees with disabilities, paid maternity and parental bonding leave, and paid vacation, sick days, and holidays. For more information on our Total Rewards package, please click the link below.

MUFG Benefits Summary

We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws (including (i) the San Francisco Fair Chance Ordinance, (ii) the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, (iii) the Los Angeles County Fair Chance Ordinance, and (iv) the California Fair Chance Act) to the extent that (a) an applicant is not subject to a statutory disqualification pursuant to Section 3(a)(39) of the Securities and Exchange Act of 1934 or Section 8a(2) or 8a(3) of the Commodity Exchange Act, and (b) they do not conflict with the background screening requirements of the Financial Industry Regulatory Authority (FINRA) and the National Futures Association (NFA). The major responsibilities listed above are the material job duties of this role for which the Company reasonably believes that criminal history may have a direct, adverse and negative relationship potentially resulting in the withdrawal of conditional offer of employment, if any.

The above statements are intended to describe the general nature and level of work being performed. They are not intended to be construed as an exhaustive list of all responsibilities duties and skills required of personnel so classified.

We are proud to be an Equal Opportunity Employer and committed to leveraging the diverse backgrounds, perspectives and experience of our workforce to create opportunities for our colleagues and our business. We do not discriminate on the basis of race, color, national origin, religion, gender expression, gender identity, sex, age, ancestry, marital status, protected veteran and military status, disability, medical condition, sexual orientation, genetic information, or any other status of an individual or that individual’s associates or relatives that is protected under applicable federal, state, or local law.