Collibra Engineer Jobs

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4d ago

Vice President, Data Products & Analytics Engineer

MUFG Jersey City, NJ

Jersey City, NJ

4d ago

$153k - $237k/yr Full time Analytics Atlassian Business Analytics

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Job Description

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.

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