Vice President, Data Products & Analytics Engineer

MUFG seeks a senior individual contributor to lead data product strategy and execution within Data Management Engineering. This role shapes roadmaps for data products and enables analytics, reporting, and AI enabled data consumption across the enterprise. Based in Jersey City, NJ with a hybrid work arrangement, the position carries a salary range of USD 153,000 to 237,000 per year and requires a bachelor’s degree with at least seven years of relevant experience.

Responsibilities

• Develop and sustain trust-based relationships with key stakeholders to comprehend business challenges and identify data solutions that advance objectives.
• Empower business and corporate functions with robust data capabilities, ensuring clear lineage to products, services, and processes, delivering contextually valuable insights, and enabling seamless data access.
• Optimize the data product lifecycle to modernize assets and maximize value, identifying process improvements to advance governance, management, and utilization.
• Engage data users proactively to improve data maturity, adoption, and self-service while fostering a culture of continuous improvement and systems thinking.
• Collaborate with senior business stakeholders to align data products with strategic objectives and address analytics, reporting, and consumption challenges.
• Contribute to the technical and product direction for a portfolio of enterprise data products, translating complex processes into curated, reusable, and governed data assets.
• Provide expertise on end-to-end data product lifecycle, including sourcing, design, engineering, quality, certification, and consumption readiness.
• Translate business and analytics requirements into clear data engineering specifications and implementation plans, applying modern data architecture patterns for scalable consumption.
• Collaborate across engineering and analytics teams to promote common standards, tooling, and delivery practices within a matrixed environment.
• Enable advanced data consumption capabilities, including BI, self-service analytics, and AI assisted querying under governed access controls.
• Support data literacy and adoption through documentation, data catalogs, and enabling business data users.

Requirements

• 10+ years of data experience in Banking and Financial Services from technology, data, or business operations perspectives.
• 10+ years of experience in data management and/or data product development.
• 7+ years of experience in business, systems, and data architecture and analysis.
• Proven experience as a Data Engineer and/or Business Data Architect or similar role, with a focus on business value creation and enablement.
• Bachelor’s degree in science, business, management, or finance-related fields.
• Advanced degree is a plus.

Technologies

• Snowflake
• AWS based data services
• Collibra
• Starburst
• Informatica
• Tableau
• PowerBI
• Alteryx
• Relational databases and enterprise data warehouse technologies
• Jira
• Confluence

Benefits

• 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
• Paid vacation, sick days, and holidays

Data Products & Engineering Expertise

• Proven success modernizing data ecosystems through cloud platforms, automation, and integrated data solutions that enhance data quality, accessibility, governance, and enable advanced analytics and AI enabled data consumption.
• Experience designing, scaling, and operating modern data architectures, including data marts, validation, and reconciliation frameworks for end-to-end analytics and regulatory use cases.
• Hands-on proficiency with cloud-based data platforms and contemporary data architectures.
• Advanced SQL skills and strong experience with data transformation, profiling, validation, and reconciliation frameworks.
• Practical understanding of AI enabled data access patterns (semantic layers, natural language querying, curated retrieval) in regulated environments.
• Solid grounding in metadata management, lineage, data quality controls, and certification workflows.
• Experience across business, data, and application architecture and process re-engineering.

Leadership, Influence & Business Acumen

• Expertise in business requirements analysis, design, and functional/detail design within Banking and Financial Services.
• Ability to operate with senior-level autonomy and influence across business, technology, and risk functions.
• Strong executive communication skills, capable of translating technical concepts into clear business terms; detail-oriented while maintaining strategic focus.
• Effectiveness in building alignment, driving adoption, and managing competing priorities within a matrixed organization.
• Product-oriented mindset with balanced emphasis on near-term delivery, risk management, and long-term platform sustainability.
• Proven ability to build consensus across business areas to support new capability models.
• Adaptable to rapidly shifting priorities and evolving business needs.

Technology & Tooling

• Expert knowledge of cloud platforms, programming languages, and modern software engineering practices.
• Cloud data platforms such as Snowflake and AWS based data services
• Enterprise data governance and metadata platforms such as Collibra
• Data virtualization platforms such as Starburst
• ETL tools such as Informatica
• BI and analytics tools such as Tableau, PowerBI, Alteryx or equivalent
• Relational databases and enterprise data warehouse technologies
• Agile delivery and collaboration tools including Jira and Confluence