Corporate Technology - Lead Data Architect

Next Frontier Capital; Chicago (IL); On-site; USD 130,000 - 200,000; Full time

Job summary

JPMorgan Chase & Co. in Chicago is seeking a Lead Data Architect within the Corporate Technology team to establish standards for organizing digital content and data, develop conceptual, logical, and physical data models, and ensure traceability from business concepts to implementation.

The role emphasizes governance, data risk management, and collaboration with CDO and engineering to deliver compliant, scalable data solutions across platforms.

Qualifications

• 7+ years in data architecture, information architecture, or enterprise data design roles.
• Demonstrated experience designing conceptual/logical/physical data models and canonical information architectures.
• Proven track record implementing data governance processes at scale.
• Practical knowledge of metadata management, lineage, data quality frameworks, and cataloging solutions.
• Experience collaborating with CDO and technology stakeholders in a matrixed environment.
• Strong understanding of data risk management, regulatory drivers, and controls.
• Excellent communication skills translating business requirements into data designs and governance solutions.

Responsibilities

• Collaborate with and influence CDO, Engineering, and business partners to align information flows and canonical models.
• Impact the creation of high-quality Data Products aligned with the Data Mesh Strategy and ensure compliance with OKRs.
• Represent the tower in Architecture forums; mentor architects and developers in data-related skills and governance practices.
• Identify and implement automation opportunities for data controls and collaborate with Data Governance groups.
• Monitor Data Risk Metrics with senior stakeholders and remediate control gaps.
• Develop best practices in data tiering, lineage, quality, retention, and localization controls.
• Advise cross-functional teams on data architecture solutions that satisfy governance and regulatory requirements.

Skills

Data architecture

Information architecture

Enterprise data design

Canonical data models

Data governance

Stakeholder communication

Regulatory knowledge

Tools

ER/Studio

ERwin

ArchiMate

UML

Job description

As a Lead Data Architect, within the Corporate Technology team, you will establish, develop, and maintain standards for organizing digital content and data that support usability and operational efficiency, and enable consistent adoption across platform and develop conceptual, logical, and physical data models aligned with business objectives, ensuring traceability from business concepts to implementation.

Job Responsabilities:

• Collaborate with and influence CDO, Engineering, and business partners to align information flows and canonical models for interoperability and reuse.
• Impact the creation of high-quality Data Products aligned with the Corporate Technology (CT) Data Mesh Strategy and ensure compliance with Corporate Technology OKRs.
• Represent the tower in Corporate Technology Information Architecture forums; contribute patterns, reference models, and guidance for broader adoption and actively participate in architectural and governance forums to address challenges, resolve design issues, and evolve standards/practices. and mentor and support architects and developers in data-related skills (modeling, lineage, quality, metadata, standards) to uplift craftsmanship. and design, develop, and implement data governance processes and solutions to ensure compliance with Firmwide/LOB Data Risk Management Policy and Standards.
• Identify and implement automation opportunities for data controls, reducing manual effort and strengthening preventative and detective measures and participate in CT Data Governance Working Groups to resolve issues and evolve governance standards/practices. and collaborate with the Chief Data Office to interpret and operationalize governance requirements for corporate functions and application owners (AOs).
• Monitor and socialize Data Risk Metrics (e.g., FDRM metrics) with senior stakeholders; partner with application teams to remediate control gaps and facilitate communication and change management with application teams to ensure understanding of governance obligations and delivery timelines.
• Develop and promote best practices in data tiering, lineage, quality, retention, destruction, and localization controls; embed them in design reviews.
• Advise cross-functional teams on data architecture solutions that satisfy governance and regulatory requirements without sacrificing scalability or cost efficiency. and support audit, cyber, and control stakeholders during reviews of Corporate Technology data governance and data risk controls; coordinate evidence and follow-ups.

Required qualifications, capabilities, and skills:

• 7+ years in data architecture, information architecture, or enterprise data design roles, with hands-on experience defining standards and data models.
• Demonstrated experience designing conceptual/logical/physical data models and canonical information architectures; proficiency with one or more modeling tools (e.g., ER/Studio, ERwin, ArchiMate, UML).
• Proven track record implementing data governance processes at scale (policies, standards, controls, metrics, and evidence).
• Practical knowledge of metadata management, lineage, data quality frameworks, and cataloging solutions.
• Experience collaborating with CDO and technology stakeholders and influencing without direct authority in a matrixed environment.
• Strong understanding of data risk management, regulatory drivers, and controls (e.g., data classification/tiering, retention, localization).
• Excellent communication skills with the ability to translate business requirements into data designs and governance solutions.

Preferred qualifications, capabilities, and skills:

• Familiarity with Data Mesh principles and data product thinking; experience aligning architecture and controls to mesh-aligned operating models.
• Experience with cloud data platforms and lakehouse technologies (e.g., AWS/GCP, Snowflake/Databricks, Delta/Iceberg), and how governance/controls are implemented in these environments.
• Hands-on exposure to lineage and data quality tooling and automation (e.g., OpenLineage, Great Expectations, Soda, Monte Carlo, Collibra/Alation).
• Understanding of FinOps and cost-aware data design decisions (storage classes, partitioning, lifecycle policies).
• Prior participation in audit, cyber, and control reviews; experience organizing evidence and remediation plans.

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success. Define and evolve standards for organizing digital content and data, design enterprise data models, consistent adoption of information standards, and help build compliant, high-quality data products aligned to our Data Mesh strategy.