Enterprise Data Architect jobs

Description Summary:

This job is responsible for ensuring operational data is fit for purpose, defining controls, and monitoring processes are in adherence to enterprise data management standards. Key responsibilities include triaging and remediating data incidents, performing data analysis, training new users, and performing impact analysis stemming from data updates. Job expectations include helping in defining access and ownership of data by domain, conducting quality control, and overseeing data maintenance.

CFO Data Management (CFO DM) supports other CFO Function’s needs and use cases (e.g., management and regulatory reporting). This role will be responsible for Counterparty Data within a larger data environment. Counterparty refers to the clients and other parties associated with Bank of America’s transactions. Counterparty classification is a key element in many reports.

Responsibilities:

• Ensures data is accurate, complete, and fit for performing data analyses through various testing procedures and data controls which help to identify business insights fit for purpose for a particular product set.

• Develops and executes on Enterprise Data Management policies and standards, works across teams to ensure adherence, serves as a key point of contact for all topics related to data compliance, and manages operational elements of the (Enterprise Data Strategy Governance and Operations (EDSGO) relationship.

• Manages data related incidents and identifies, communicates, and resolves or escalates issues as needed. Data inquiries include questions related to data issues, availability of data, and potential sourcing alternatives to inform.

• Develops, manages, and executes on controls, ensuring tracking, monitoring, and resolution of any control breaches with data platform.

• Partners with Business and Technology functions to drive the development of business and functional requirements documents and ensures strategic upstream resolution for data related incidents.

Additional Responsibilities:

• Provide Subject Matter Expertise for Counterparty data attributes.

• Control Data consumed by CFO, including investigating and developing remediation plans for data quality issues.

• Interface with business partners on their data needs, requirements for new data requests, track and prioritize changes.

• Assist team with data analysis and ensure quality of outputs.

• Create SQL scripts and conduct user acceptance testing on new data requests.

• Collaborate across stakeholders including business reporting, product-specific data stewards, tech partners, upstream data providers/data management, and risk/compliance.

• Identify, review, and evaluate potential upstream systems to determine data sourcing strategy.

• Follow the proper risk disciplines and proactively escalate as needed.

• Adhere to Enterprise Data Management Standards and Risk Data Aggregation requirements.

Required Qualifications:

• Minimum 5 years’ of experience with data analysis within the financial industry and/or highly regulated environments

• Capacity to handle multiple tasks and work in a flexible environment.

• Ability to think and act independently, detailed oriented and organized.

• Strong communication skills and the ability to build relationships across a matrixed organization.

Desired Qualifications:

• Bachelor’s degree.

• Bank of America, Regulatory Reporting experience a plus, including applicable Bank of America platforms (e.g. WCC, CED, CESIUM, PRDS).

• Experience with Agile methodology.

• Knowledge of emerging technologies (e.g. Alteryx, artificial intelligence from a data validation/profiling perspective, etc.).

• Exposure to AML/KYC processes.

• Familiarity with transactional databases.

• Analytics experience with SQL.

• Data Management experience.

• Excellent written and verbal communication skills.

• Proficiency with Alteryx, Tableau, and SQL programming language.

• Knowledge and prior experience with Regulatory Reporting.

Skills:

• Data Collection and Entry

• Data Management

• Data Modeling

• Issue Management

• Policies, Procedures, and Guidelines Management

• Analytical Thinking

• Collaboration

• Data Governance

• Data Quality Management

• Data and Trend Analysis

• Business Acumen

• Controls Management

• Production Support

• Regulatory Compliance

• Solution Design

Being the cybersecurity partner of choice, protecting our digital way of life.

Your Impact

• Lead the technical solution-building process, from initial strategy discussions to creating service playbooks and technical guides.

• Act as the technical team representing Accenture Technical resources globally.

• Develop and position unique solution offerings in collaboration with Accenture and Palo Alto Networks teams.

• Drive the technical GTM strategy for joint solutions with Accenture, working closely with business development, sales, offer creation, and engineering teams.

• Provide deep technical leadership in designing and implementing security architectures, primarily on Network Security (SASE, NGFW, Zero Trust) with a medium to deep depth of knowledge of Security Operations (SOC, SIEM, Cloud) and or AI Security.

• Support hands-on technical configuration, prototyping, and lab development as needed.

• Manage enablement activities for Accenture, ensuring their teams are well-versed in Palo Alto Networks’ security offerings.

• Evangelize Palo Alto Networks’ enterprise security platform, articulating its business value to Accenture and customers.

• Collaborate with sales engineers, channel managers, and account teams to drive revenue growth through solution adoption.

• Build and maintain strong relationships with Accenture stakeholders, leading “partner peering” sessions to deepen engagement.

• Identify emerging security challenges and contribute to future solution strategies.

Your Experience

• A Bachelor's degree in Computer Science, Cybersecurity, or equivalent in a relevant field.

• 10+ years of experience working with systems integrators and enterprise customers in a technical capacity.

• Expertise in Network Security, NGFW, SASE, and Zero Trust with hands-on experience in architecture, design, and implementation.

• Strong foundational knowledge in SOC, SIEM, EDR, and cloud security solutions, with some hands-on experience in architecture, design, and implementation.

• Proven track record in selling, demonstrating, and/or deploying enterprise security solutions that may include log management and SIEM. Strong network security experience is essential.

• Strong experience in solution creation, working with product teams and partners to develop joint offerings.

• Deep understanding of enterprise security trends, competitive solutions, and business drivers.

• Experience collaborating with cross-functional teams, including sales, engineering, and marketing.

• Effective communication skills (written and verbal) with the ability to present complex security solutions to both technical and executive audiences.

• Strong understanding of technical partnerships and GTM strategies, particularly in working with Global System Integrators (GSIs).

• Prior experience with Accenture and Palo Alto Networks is a plus.

Compensation Disclosure

The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $186000/YR - $255000/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found .

All your information will be kept confidential according to EEO guidelines.

This job is responsible for providing Consumer Lending advice to new-to-bank clients and external business development. Key responsibilities include applying mortgage lending principles and familiarity of Realtor, Builder, and Community contacts local to the market. Job expectations include having successful track-records of delivering lending services to clients by demonstrating an understanding of credit, lending guidelines, and the mortgage process.
This position is subject to SAFE Act registration requirements. Pursuant to the SAFE Act requirements, all employees engaged in residential loan mortgage originations must register with the federal registry system and remain in good standing. Since this position requires SAFE Act registration, employees are required to register and to submit to the required SAFE Act background check and registration process. Failure to obtain and/or maintain SAFE Act registration may result in disciplinary action up to and including termination.

Responsibilities:

• Provides exceptional client care by providing advice oriented solutions with Consumer Lending and Core Banking products
• Engages in community development, outside sales activities, and external networking to responsibly grow client and market share
• Understands lending processes and credit guidelines to best develop solutions for each client's needs
• Manages daily client and loan pipelines with astute organization, follow up, and high degree of collaboration with loan fulfillment partners
• Leverages digital solutions, providing clients with a choice in preferred service pathways
• Maintains and adheres to all federal and state regulations and bank operational requirements, delivering compliant client advice conversations and fulfilling financial goals

Skills:

• Business Development
• Client Management
• Customer and Client Focus
• Prospecting
• Risk Management
• Account Management
• Client Solutions Advisory
• Credit and Risk Assessment
• Pipeline Management
• Referral Identification
• Attention to Detail
• Credit Documentation Requirements
• Issue Management
• Networking
• Relationship Building

• Has 3+ years of experience in a loan origination role with a focus on generating self-sourced purchase business through a verifiable, established network of referral sources
• Demonstrated understanding of effectively managing a pipeline in order to deliver an exceptional client experience
• Has a strong knowledge of loan products Conventional, Jumbo and Government.
• Demonstrated ability to understand, analyze, and document income, assets and liabilities properly in order to qualify clients for specific loan products
• Demonstrated understanding of processing, underwriting and/or closing procedures
• Has a working knowledge of federal regulations governing real estate lending
• Ability to source clients independently and not rely on enterprise referrals with demonstrated success in generating business from external Centers of Influence real estate professionals, builders, and other external referral partners in a compliant manner as well as within bank policy.
• An ability to work independently
• Is a strong communicator, both written and verbal
• Is self-motivated and highly organized
• Can prioritize multiple competing tasks
• Uses appropriate interpersonal styles, communication methods and approaches to gain clients and keep them informed during the loan process
• Demonstrated understanding of the connection of the level of service provided being directly correlated to driving sales volume
• Can be flexible to work weekends and or extended hours as needed to serve clients
Desired Skills and Experience

• Familiarity with FHA and HUD guidelines
• Strong computer skills including MS applications and previous experience utilizing laptop technology for communication purposes including accessing rate, credit and loan status information
• Solid time management skills and the ability to organize, prioritize and perform multiple tasks simultaneously
• The ability to analyze and comprehend complex financial data and provide financial alternatives
• Professional and effective interpersonal skills
• An ability to take ownership, accountability and can demonstrate integrity
• Adaptability and can demonstrate flexibility
• A positive attitude
• Effective communication styles

The following laws or regulations restrict or prohibit the hiring of individuals with certain specified criminal history for the position Credit Solutions Advisor II: FDIC, Safe Act/Loan Originators

High School Diploma / GED / Secondary School or equivalent

Key Responsibilities

As a Distinguished Engineer, you will own the long-term technical direction and execution for all data and analytics infrastructure within Saas Data Security and AI.

I. Architecture & Strategic Vision

• Define Architectural Roadmap : Set the 3-5 year technical strategy and architectural vision for the Enterprise DLP data platform, emphasizing scalability, performance, security, and cost-efficiency
• Big Data & AI Foundation : Drive the design, implementation, scaling, and evangelism of the core BigQuery, Vertex AI, Nvidia Triton, Kubeflow platform components that enable high-velocity data ingestion, transformation, and Machine Learning model serving for DLP detections
• Real-time Decisioning: Architect and implement ultra-low latency data ingestion and processing systems (utilizing Kafka, Pub/Sub, Dataflow) to enable real-time DLP policy enforcement and alert generation at massive enterprise scale
• Cross-Functional Influence : Act as the technical voice of the DLP data platform, collaborating with Engineering VPs, Product Management, and Data Science teams to align platform capabilities with product innovation

II. High-Scale Data Platform Engineering

• Big Data Pipeline Mastery : Architect and Lead the design and implementation of highly resilient, optimized batch and real-time data pipelines (ETL/ELT) to transform raw data streams into high-quality, actionable datasets
• Optimized Dataset s: Expertly design and optimize clean, well-structured analytical datasets within BigQuery, focusing on partitioning, clustering, and schema evolution to maximize query performance for both operational analytics and complex data science/ML feature generation
• Database Strategy: Provide deep, hands-on expertise in both SQL and NoSQL databases like MongoDB, Spanner, BigQuery, advising on the optimal data persistence layer for diverse DLP data use cases (e.g., policy configurations, high-speed telemetry, analytical fact tables)
• MLOps Implementation : Establish robust MLOps practices model deployment & execution pipelines like Vertex AI, Nvidia Triton for DLP models, including automated pipelines for continuous training, versioning, deployment, and monitoring of model drift
• Performance Engineering : Debug, optimize, and tune the most challenging performance bottlenecks across the entire data platform, from initial data ingestion to final analytics query execution, often dealing with PBs of data

III. Mentorship & Operational Excellence

• Technical Mentorship : Mentor and develop Principal and Staff-level engineers, raising the bar for engineering craftsmanship and data platform development across the organization
• Operational Health : Define and implement advanced observability, monitoring, and alerting strategies to ensure the end-to-end health and SLOs of the mission-critical DLP data service

Preferred Qualifications

• 12+ years of experience in a high-scale data-intensive environment, with a minimum of 3+ years operating as a Distinguished or Principal-level Engineer/Architect
• Mastery of Google Cloud Platform (GCP) with extensive, hands-on experience architecting and scaling solutions using BigQuery and Vertex AI or equivalent AWS, Azure, or other Big Data & AI services
• Expertise in Big Data processing frameworks and managed services, specifically with building and scaling data and analytics pipelines using Dataflow, Pub/Sub, and GKE (or equivalent technologies like Apache Spark/Kafka)
• Strong experience in SQL & NoSQL databases (e.g., MongoDB, Cassandra, Spanner), with an understanding of their respective architectural trade-offs for distributed systems
• Demonstrated ability to design scalable data models and systems that enable high-precision
• Proven ability to build and optimize clean, well-structured analytical datasets for large-scale business and data science use cases
• Demonstrated experience in implementing and supporting Big Data solutions for both batch (scheduled) and real-time (streaming) analytics
• Prior experience in the security domain (especially DLP, Data Security, or Cloud Security) is a significant advantage
• Exceptional ability to influence technical and business leaders, translating ambiguous problems into clear, executable technical designs
• BS/MS in Computer Science or Electrical Engineering or equivalent experience or equivalent military experience required

Salary Disclosure

The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $230,000/YR - $300,000/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found .

All your information will be kept confidential according to EEO guidelines.

The Community You Will Join:

We are seeking an accomplished and commercially minded Senior Manager, North America Enterprise & Connectivity to lead our most critical partner relationships, spanning enterprise Property Managers and software connectivity providers. This role requires a leader with exceptional commercial acumen, executive presence, and a strong bias for action in a fast-paced, highly competitive environment.

The Difference You Will Make:

As Senior Manager, North America Enterprise & Connectivity, you will play a pivotal role in shaping the future of our enterprise and connectivity ecosystem. You will lead a team that partners with the largest Property Managers and most innovative software providers in the industry — driving growth, deepening loyalty, and delivering impact for partners, hosts, guests, and the business.

Strategic & Commercial Leadership

• Own the Enterprise & Connectivity partnerships strategy for the US & Canada region.
• Deliver growth, retention, and expansion across high-value enterprise Property Managers and software partners.
• Lead negotiations and structure commercial agreements that drive mutual business outcomes.
• Build scalable operating playbooks and KPIs to ensure repeatable commercial success.

Team & Talent Development

• Build and lead a high-performing commercial team with a strong execution mindset.
• Recruit and develop top talent, fostering a culture of accountability, collaboration, and innovation.
• Establish clear career pathways and enable professional growth within the team.

Partnerships & Relationship Management

• Cultivate deep C-suite and executive-level relationships across enterprise Property Managers and software partners.
• Act as a trusted advisor and be a strong thought leader.
• Champion the voice of enterprise and connectivity partners internally to inform product, policy, and cross-functional strategies.

Cross-Functional Collaboration

• Partner with cross-functional teams including, but not limited to, Product, Policy, Trust, and Field to deliver integrated partner solutions and drive business results.
• Use data and analytics to track performance, identify opportunities, and strengthen competitive positioning.

Your Expertise:

• 12+ years of experience in strategic partnerships, enterprise account management, or commercial leadership.
• Proven track record of scaling teams and exceeding ambitious commercial targets.
• Strong understanding of enterprise Property Managers, SaaS/software ecosystems, and connectivity platforms.
• Executive presence with excellent influencing, negotiation, and relationship-building skills.
• Analytical, data-driven, and comfortable converting insights into strategies and measurable outcomes.
• Thrives in a dynamic, fast-moving, and competitive environment.

Offices: United States

Job Description:

This position is focused on leadership, technical direction, and oversight to multiple initiatives delivering Gen AI technology capabilities and solutions. Key responsibilities of the role include developing solutions and processes for multiple organizations based on their design/architectural/Agile/DevOps practices.This job is responsible for defining an architectural vision and solution that supports the strategic outcomes of the Business' Products and Services. Key responsibilities include defining the target operating environment, designing for client resiliency, assisting with solution design, and defining non-functional requirements. Job expectations include working with stakeholders and service providers aligned to the Business' strategic objectives, evaluating the impact of strategic design decisions, and contributing to the architecture roadmap.

Responsibilities:

• Works across the business, operations and technology to create the solution intent and architectural vision for complex solutions and prioritize functional and non-functional requirements into a technology backlog to enable the technology roadmap and functionality to support evolving capabilities and services
• Contributes to the creation of the architecture roadmap of defined domains (Business, Application, Data, and Technology) in support of the product roadmap and the development of best practices including standardized templates
• Clarifies the architecture, assists with system design to support implementation, and provides solution options to resolve any architectural impediments
• Facilitates solution driven discussions, leads the design of complex architectures, and finds creative solutions through knowledge of domain, practical experiments, and proof of concepts while ensuring architecture is flexible, modular, and adaptable
• Educates team members on the technology practices, standardization strategies, and best practices to create innovative solutions
• Supports the team as needed to select the technology stack required for solutions and helps select preferred technology products
• Performs design and code reviews to ensure all non-functional requirements are sufficiently met (for example, security, performance, maintainability, scalability, usability, and reliability)

• Ensures that the design and engineering approach for complex features are consistent with the larger portfolio solution. Accountable for the availability, stability, scalability, security, and recoverability enabled by the designs.

• Enables teams/applications with Continuous Integration/Continuous Development (CI/CD) capabilities and engages with other technical stakeholders pertaining to efficient functioning of CI-CD pipeline.

• Guides and influences teams on design and best practices for high code performance –e.g. pairing, code reviews.

• Provides end-to-end delivery of complex features, including automation, for either a single team or multiple teams, at the program level.

• Conducts research, design prototyping and other exploration activities such as evaluating new toolsets and components for release management, CI/CD, and features.

• Works with stakeholders to establish high-level solution needs and with architects for technical requirements.

• Collaborate with product teams, data analysts and data scientists to design and build solutions.

• Design and execute the implementation plans to both move forward strategically, while at the same time ensuring the current technology stack is supporting current needs.

• Manage multiple priorities, and simultaneously engage with multiple teams worldwide.

• Be vocal and actively participate in all session with business stakeholders and agile teams.

• Manage next generation of architectural decision for advanced analytics platform, create strategy, roadmaps, present to tech and non-tech leaders.

• Coach and mentor team members.

Required Qualifications

• 8+ years of experience in platform development, architecture, and strategy for data science, modeling, advanced analytics, and Gen AI.

• Experience building E2E analytics platform focusing on self-service for as Data science, Big Data platform, Analytics etc.- Experience building E2E ML pipelines: Data prep, Model Build, training models, Deployment, Scoring, Monitoring and Optimization

• Experience working with technical and line of business users to gather the requirements, writing BRD for building platform, brainstorm with different set of tech and non-tech audience, document the details with conceptual diagrams, validate the tech feasibilities of capabilities by researching and working with tech teams, architects, and engineers.

• Reviews technical designs to ensure that they are consistent with defined architecture principles, standards, and best practices. Own technical decisions for the solution and application developers in the creation of architectural decisions and artifacts. Ability to clearly communicate with team & stakeholders.

• Collaborate with product teams, data analysts and data scientists to design and build solutions.

• Manage next generation of architectural decision for advanced analytics platform, create strategy, roadmaps, present to tech and non-tech leaders.

• Strong understanding of modern open-source data science platform architecture for storage & compute separation, interactive development workbenches, virtual environments, containers, and toolsets.

• Hands on experience on implementing CI/CD and automation using the Atlassian ecosystem.

• Knowledge of metadata management, data lineage, and principles of data governance

• Experience designing and building full stack solutions utilizing distributed computing architecture.

• Design and build and deploy streaming and batch data pipelines capable of processing and storing large datasets quickly and reliably using Kafka, Spark and YARN

Desired Qualifications

• Experience developing and delivering AI/ML, data, and analytics platform capabilities with open-source technologies, focusing on Gen AI – model serving, RAG frameworks, AI BI, MCP modules for enterprise data systems.

Skills:

• Analytical Thinking
• Architecture
• Result Orientation
• Solution Design
• Technical Strategy Development
• Application Development
• Collaboration
• Data Management
• DevOps Practices
• Risk Management
• Agile Practices
• Automation
• Influence
• Solution Delivery Process
• Test Engineering

Being the cybersecurity partner of choice, protecting our digital way of life.

Your Impact

• Define and drive the product vision, strategy and roadmap for our Data Security product line

• Conduct market research, competitive analysis and customer feedback to inform product decisions

• Collaborate with design and engineering teams to develop product prototypes and interfaces

• Work closely with data scientists and ML engineers to develop and integrate ML algorithms into the Data Security product lines

• Create and maintain product documentation, including user guides, training materials and release notes

• Monitor product performance and customer feedback to inform product improvements and updates

• Work across functional agile teams (Engineering, UX, customer support, operations, finance, sales and marketing)

• Identify technology partners and drive integration into market leading product

• Drive joint sales (SKUs, solution bundles, incentives) and marketing (collaterals, webinars, trade shows) models with cross-functional teams within and partners

Your Experience

• BS/MS in Computer Science, Engineering or a related field

• MBA is desirable

• 3 years in product management

• Strong understanding of network security principles and solutions

• Client-facing experience through previous product work or customer success roles

• Strong technical background with experience working with data scientists and ML engineers

• Strong understanding of user experience design principles and methodologies

• Excellent communications and collaboration skills, with experience working with cross-functional teams

• Strong analytical and problem-solving skills, with experience using data to inform product decisions

• Experience working in an Agile development environment

• Experience launching cloud products and services

• Demonstrable track record of success

Compensation Disclosure

The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $148,700 - $240,525/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found .

All your information will be kept confidential according to EEO guidelines.