Vice President, Data Products & Analytics Engineer

MUFG seeks a senior individual-contributor to lead data product strategy and execution within Data Management Engineering. Based in Jersey City, NJ on a hybrid schedule, the role shapes data product roadmaps and enables analytics, reporting, and AI-enabled data consumption across the enterprise. The position carries a salary range of USD 153,000 to 237,000 per year and requires at least seven years of data experience and a Bachelor's degree.

Responsibilities

• Develop and sustain trust-based relationships with key stakeholders to understand business challenges and identify how data solutions can support objectives.
• Empower business and corporate functions with robust data capabilities, ensuring clear lineage to products, services, and processes, while delivering valuable data insights and enabling seamless data access.
• Optimize data product lifecycle management to modernize assets and maximize value, identifying process improvements to advance governance, management, and use.
• Proactively engage data users to improve data maturity, promote adoption, and enable self-service, fostering a culture of continuous improvement and data systems thinking.
• Partner with senior business stakeholders to understand strategic objectives and ensure data products support analytics, reporting, and data consumption needs.
• Contribute to the technical and product direction for a portfolio of enterprise data products, translating complex business processes into curated, reusable, and governed data assets.
• Provide expertise across the 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 data 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.
• Contribute to data literacy and adoption by supporting documentation, data catalogs, and enablement of business data users.

Requirements

• 10+ years of data experience in the Banking and Financial Services sector 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 delivering business value.
• 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

• Demonstrated success modernizing data ecosystems through cloud-based platforms, automation, and integrated data solutions that improve data quality, accessibility, governance, and enable advanced analytics and AI-assisted data consumption.
• Proven ability to design, scale, and operate modern data architectures including data marts, validation, and reconciliation frameworks to support end-to-end analytics and regulatory use cases.
• Strong hands-on experience with cloud-based data platforms and modern data architectures.
• Advanced SQL and substantial experience with data transformation, profiling, validation, and reconciliation workflows.
• 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 in business, data, and application architecture and process re-engineering.

Leadership, Influence & Business Acumen

• Expertise in business requirements analysis, design, and detailed design within the Banking & Financial Services sector.
• Ability to operate with senior-level autonomy and influence across business, technology, and risk organizations.
• Strong executive communication skills, capable of explaining complex technical concepts in clear business terms.
• Detail-oriented while maintaining strategic perspective, with aptitude for storytelling and articulating a shared vision.
• Effective at building alignment, driving adoption, and managing competing priorities in a matrixed organization.
• Product-oriented mindset balancing near-term delivery, risk management, and long-term platform sustainability.
• Proven ability to build consensus across multiple business areas to support new capability approaches.
• Ability to adapt quickly as priorities evolve.

Technology & Tooling

• Expert knowledge of tools and techniques spanning 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 equivalents.
• Relational databases and enterprise data warehouse technologies.
• Agile delivery and collaboration tools including Jira and Confluence.