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Thank you for your interest in a career at Regions. At Regions, we believe associates deserve more than just a job. We believe in offering performance-driven individuals a place where they can build a career --- a place to expect more opportunities. If you are focused on results, dedicated to quality, strength and integrity, and possess the drive to succeed, then we are your employer of choice.

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Job Description:

At Regions, the Enterprise Architect oversees multiple dimensions of assigned applications and/or capabilities including but not limited to stability, life cycle management, version control, design and development of technology solutions, mapping of business requirements to capability oriented technical requirements, and ensuring Technology solutions to business needs are developed in accordance with the enterprise architectural roadmap, guidelines, and standards.

Primary Responsibilities

+ Manages end to end from conception, through delivery, into production of enterprise architectures

+ Partners with business and technology subject-matter experts to elicit and translate business requirements into technological solutions

+ Leads the design and modeling of tactical architectures for delivery, development, and support of projects

+ Designs both the physical and logical components of solution architectures that will deliver a positive business outcome

+ Collaborates with other domain architects to provide a consensus based scalable and adaptable architectural solution

+ Oversees technical analysis and design capabilities

+ Facilitates technology design workshops for emerging technologies

+ Validates designs produced by third party vendors wishing to sell solutions to the organization

+ Aligns Information Technology strategy and planning with the company’s business goals and objectives

+ Promotes the use of a shared infrastructure and application roadmap to reduce costs and improve how information flows

+ Collaborates on roadmaps to align Information Technology priorities with business partner requirements and strategies

+ Builds and maintains technical trusted advisor relationships with influential technical decision makers within Technology

+ Works with Portfolio technology leaders to include technical debt initiatives to portfolio roadmap

This position is exempt from timekeeping requirements under the Fair Labor Standards Act and is not eligible for overtime pay.

Requirements

+ Bachelor's degree in Computer Science, Management Information Systems, or a related field and (5) years of enterprise, solutions and/or technical architecture experience

+ Experience of N-tier architectures and complex design architectures

+ Experience with technical, application, and information architecture delivery techniques and methodologies

+ Experience with Agile methods

Certifications/Licensures

+ Certifications in the technology domain of the enterprise

Skills and Competencies

+ Ability to adapt to new technologies and learn quickly

+ An understanding of, and ability to use, design patterns to steer business requirements into enterprise wide technical strategies

+ Awareness and ability to document designs using internal and external notational standards (Business Process Model and Notation {BPMN}, Unified Modeling Language {UML})

+ Hands on the keyboard depth in one or more popular programming languages like Java, Go, C#, Rust, Python, etc.

+ Knowledge of security design techniques

+ Understanding the technology of the organization, e.g. Middleware, .NET, Java 2 Enterprise Edition (J2EE), Oracle, etc.

+ Working knowledge of modern Operating Systems (Linux/Windows), Networking, Servers/Mainframe, Secure Coding Practices, Development Environments (Java/.Net), Databases (DB2/Oracle/SQL Server)

Additional Job Description:

+ The Enterprise Data Architect is a strategic and technical leader responsible for designing, governing, and evolving the enterprise data portfolio with alignment to state of the art and industry leading architecture and practices. This role ensures alignment between business goals and data capabilities by collaborating across business units, security, risk, engineering, cloud enablement, data science, and enterprise API governance teams. The architect will drive the development of scalable, secure, and intelligent data platforms, enabling advanced analytics, AI/ML, and generative AI use cases across the organization.

Additional Responsibilities:

+ Enterprise Data Architecture & Strategy - Define and evolve the enterprise-wide data architecture, including data lakes, data warehouses, data mesh, and data fabric. Develop and maintain a forward-looking data strategy aligned with business and digital transformation goals. Lead the design of cloud-native, API-driven, and event-driven data platforms.

+ Developing and maintaining the enterprise data architecture standards, including data modeling practices, data management standards and overall banking / financial services industry best practices

+ Designing data integration solutions and processes, including ETL (Extract, Transform, Load), to ensure seamless data flows across the organization

+ Close collaboration with cybersecurity architecture, cloud center-of-excellence, data engineering, and business stakeholders to deliver data solutions

+ Staying current with emerging data technologies and platforms in the data engineering and data science space (e.g., cloud-based data analytics, data lakes and warehousing), evaluation and recommendation of appropriate solutions meeting architectural principles

+ Work closely with business stakeholders, product owners, data scientists, engineers, and API governance teams to co-create data-driven solutions. Translate business requirements into scalable and secure data solutions. Provide architectural oversight for enterprise data initiatives and modernization

+ AI/ML & Generative AI Enablement - Partner with data science teams to support AI/ML data pipelines, feature engineering, model training & inference, and MLOps. Architect platforms for generative AI, LLMs, NLP, computer vision, and responsible AI. Ensure AI model governance and ethical use of AI technologies.

Preferred Skills/Experience:

+ Enterprise Data Architecture: Proven ability to design and implement scalable, secure, and high-performance data architectures across cloud and hybrid environments.

+ Data Strategy & Governance: Expertise in defining data strategies, governance frameworks, and compliance policies to ensure data quality, integrity, and regulatory alignment.

+ Data Modeling & Warehousing: Strong experience in conceptual, logical, and physical data modeling, as well as designing and optimizing data warehouses and data lakes.

+ Modern Data Paradigms: Hands-on knowledge of Data Mesh, Data Fabric, and API-driven and event-driven architectures.

+ Data Integration & Pipelines: Proficiency in building and managing ETL/ELT pipelines, streaming data flows, and batch processing systems at scale.

+ DataOps & Automation: Familiarity with DataOps practices for CI/CD in data engineering, including monitoring, testing, and deployment automation.

+ Security & Compliance: Deep understanding of data security, privacy, lineage, and compliance frameworks (e.g., GDPR, HIPAA).

+ Cloud Platforms: Expertise in AWS (Glue, Redshift, Athena, SageMaker, EventBridge, RDS, Aurora, DynamoDB, Bedrock), Azure (Synapse, Data Factory), and GCP (BigQuery, Dataflow).

+ Data Platforms & Warehousing: Hands-on experience with Snowflake, Databricks, Delta Lake, Amazon Kinesis, and Amazon Athena.

+ Streaming & Messaging: Proficiency with Apache Kafka, Apache Flink, and Amazon Kinesis for real-time data processing.

+ Data Engineering Tools: Skilled in Informatica, Talend, and dbt (Data Build Tool) for data transformation and orchestration.

+ Data Catalog & Governance Tools: Familiarity with Collibra, Alation, Monte Carlo, and BigID for metadata and data quality management.

+ Query Engines & Databases: Experience with Presto, Trino, SQL Server, PostgreSQL, Oracle Exadata, and NoSQL databases (MongoDB, Cassandra, DynamoDB).

+ AI/ML Frameworks: Proficient in TensorFlow, PyTorch, Scikit-Learn, Hugging Face, and OpenAI API.

+ Vector Databases & APIs: Knowledge of Weaviate, Pinecone, FAISS, and GraphQL for vector search and API-driven data access.

+ Machine Learning & AI: Experience designing and supporting ML pipelines, including model training, inference, and deployment.

+ Generative AI & LLMs: Knowledge of generative AI, large language models (LLMs), and their enterprise use cases.

+ Advanced AI Techniques: Familiarity with deep learning, neural networks, NLP, computer vision, and responsible AI practices.

+ MLOps & Governance: Competence in MLOps, feature engineering, and AI model governance to ensure scalable and ethical AI deployment.

This position may be filled at a higher level depending on the candidate's qualifications and relevant experience

**This position is intended to be onsite, now or in the near future** . Associates will have regular work hours, including full days in the office three or more days a week. The manager will set the work schedule for this position, including in-office expectations. Regions will not provide relocation assistance for this position, and relocation would be at your expense. The locations available for this role are

Birmingham, AL, Nashville, TN, Atlanta, GA, Charlotte, NC,** **Dallas TX, Denver CO, Houston TX, Orlando FLA, Salt Lake City UT, Tampa FLA

Position Type

Full time

Compensation Details

Pay ranges are job specific and are provided as a point-of-market reference for compensation decisions. Other factors which directly impact pay for individual associates include: experience, skills, knowledge, contribution, job location and, most importantly, performance in the job role. As these factors vary by individuals, pay will also vary among individual associates within the same job.

The target information listed below is based on the Metropolitan Statistical Area Market Range for where the position is located and level of the position.

Job Range Target:

_Minimum:_

$120,156.85 USD

_Median:_

$156,060.00 USD

Incentive Pay Plans:

Opportunity to participate in the Long Term Incentive Plan.

Benefits Information

Regions offers a benefits package that is flexible, comprehensive and recognizes that "one size does not fit all" for benefits-eligible associates. (https://www.regions.com/about-regions/benefits/benefits-eligibility) Listed below is a synopsis of the benefits offered by Regions for informational purposes, which is not intended to be a complete summary of plan terms and conditions.

+ Paid Vacation/Sick Time

+ 401K with Company Match

+ Medical, Dental and Vision Benefits

+ Disability Benefits

+ Health Savings Account

+ Flexible Spending Account

+ Life Insurance

+ Parental Leave

+ Employee Assistance Program

+ Associate Volunteer Program

Please note, benefits and plans may be changed, amended, or terminated with respect to all or any class of associate at any time. To learn more about Regions’ benefits, please click or copy the link below to your browser.

https://www.regions.com/welcometour/benefits.rf

Location Details

Riverchase Operations Center

Location:

Hoover, Alabama

Equal Opportunity Employer/including Disabled/Veterans

Job applications at Regions are accepted electronically through our career site for a minimum of five business days from the date of posting. Job postings for higher-volume positions may remain active for longer than the minimum period due to business need and may be closed at any time thereafter at the discretion of the company.