Finance Architecture

Finance Architecture Jobs

8 jobs found

1mo ago

Enterprise Architect, Finance & Legal Systems

Okta Bellevue, WA

Bellevue, WA

1mo ago Closed

$236k - $325k/yr Full time Accounting Artificial Intelligence Aws Solutions Architect

This position is no longer accepting applications (closed Sep 15, 2026).

Job Description

Okta is building secure, intelligent, and connected business systems, and this role helps define the technology architecture strategy across Finance and Legal. You’ll modernize core enterprise platforms and enable more data-driven decision-making and automation by leveraging AI/ML and LLM capabilities alongside strong systems integration.

Location: Bellevue, WA (hybrid)

Compensation: USD 236,000 - 324,500 per year

Experience: 15+ years

Responsibilities

Define the target-state architecture for Finance and Legal applications, aligning designs to enterprise strategy and growth objectives.
Lead end-to-end architectural solutions for Finance and Legal systems, ensuring integration, scalability, and performance across the enterprise.
Own a multi-year modernization roadmap across ERP, FP&A, Legal, and Sales Compensation systems.
Apply identity-first security principles, integrating with Okta and other IAM solutions for authentication, authorization, and compliance.
Architect and implement AI/ML-driven improvements to finance and legal workflows, including predictive forecasting, anomaly detection, spend optimization, contract risk scoring, and intelligent reconciliation.
Partner with the Enterprise AI team to operationalize AI/ML solution models within G&A functions, ensuring alignment with business outcomes.
Ensure reliable data flow across systems including ERP (NetSuite/Oracle), Coupa, Scout, Anaplan, Conga, and Xactly using APIs and middleware (Boomi), including unified data models for analytics and AI consumption.
Identify where generative AI, NLP, and LLMs can be embedded into core Finance and Legal processes, such as financial reporting, close management, reconciliation, contract lifecycle management, and legal document automation.
Drive functional and technical design and lead hands-on proof of concepts (POCs) and AI-driven automations to reduce manual effort.
Lead from the front by piloting, prototyping, and demoing new solutions and technologies such as AI and automation.
Collaborate across Finance, Legal, IT, Data, Compliance, Security, and Engineering teams to translate business goals into scalable, secure, and innovative technology solutions.
Translate complex SaaS requirements (for example revenue recognition, contract risk management, and GDPR) into technical architectures.
Act as a trusted advisor to leadership on Finance and Legal technology trends including subscription/usage-based billing, AI contract analytics, and compliance automation.
Influence executives and decision-makers on solution architecture, system strategy, and adoption plans to drive operational excellence and transformation.
Support and/or lead implementations and enhancements of ERP and legal tools, including Oracle, NetSuite, Coupa, Scout, Anaplan, and Conga, DocuSign.
Establish governance for data privacy, SOX compliance, and access control across Finance and Legal systems.
Support rollout of Data Governance by working with the Data Governance, business, and data warehousing teams.

Requirements

Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, or a related field.
TOGAF or similar Enterprise Architecture certification is a plus.
15+ years of software engineering experience, including significant time as an Architect or Principal in ERP Systems (Oracle/Netsuite/SAP), FP&A Systems (Anaplan) and/or CLM systems (Aptus/Conga/Ironclad).
Multiple ERP full-cycle implementation experience (Oracle or NetSuite).
Strong understanding of Finance process areas including Order to Cash, Record to Report, Source to Pay, Plan to Report (FP&A), Treasury, Credit Collection, Revenue Recognition, and Subscription Billing, plus Contract Life Cycle Management within Legal Ops.
Hands-on architectural experience with functional and technical solutions across NetSuite (or Oracle), Aptus/Conga (or Ironclad), Anaplan, Coupa, Scout, and tax engines such as Avalara, Vertex, or OneSource, including data models and APIs for integrations.
Experience architecting and delivering AI Agents using leading LLMs including Gemini, OpenAI, or Claude.
Experience managing software and/or vendor selection with the end-state enterprise architecture in view.
Proficiency with middleware such as MuleSoft, Workato, Boomi, or Informatica for connecting Finance, Legal, CRM, and data platforms.
Familiarity with code, configuration, and system performance standards/reviews for quality, scalability, and compliance with enterprise standards.
Proficiency with AWS, Azure, or GCP, plus knowledge of data lakes/warehouses such as Snowflake, Redshift, or BigQuery for SaaS revenue and compliance analytics.
Identity and security knowledge including SSO, OAuth, SAML, SCIM, and Zero Trust, with hands-on integration experience in Okta or similar IAM platforms.
Occasional travel to office locations for project and team collaboration meetings and offsites.
Passion for innovation, AI adoption, and continuous improvement aligned with Okta’s mission.

Technologies

NetSuite, Oracle (ERP), SAP, Coupa, Scout, Conga, Anaplan, Xactly
AI, machine learning (ML), NLP, intelligent automation, generative AI, LLMs (Gemini, OpenAI, Claude)
APIs, middleware (Boomi, MuleSoft, Workato, Informatica)
DocuSign
Data platforms: AWS, Azure, GCP, Snowflake, Redshift, BigQuery
Identity and security: SSO, OAuth, SAML, SCIM, Zero Trust
Tax engines: Avalara, Vertex, OneSource
Compliance and governance: GDPR, SOX, Data Governance
TOGAF

The Okta Experience

Supporting Your Well-Being
Driving Social Impact
Developing Talent and Fostering Connection + Community

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2mo ago

Director of Finance Transformation and Data

1st Franklin Financial Corporation Toccoa, GA

Toccoa, GA

2mo ago Closed

$100k+/yr Full time Finance Director Accounting Business Systems

This position is no longer accepting applications (closed Aug 12, 2026).

Job Description

On-site in Toccoa, GA, this Director of Finance Transformation and Data role offers USD 100,000 annually.

Responsibilities

Develop and execute a finance data strategy that supports growth, regulatory requirements, and capital markets objectives
Establish and sustain data governance across finance data, covering ownership, definitions, lineage, and controls
Align data definitions across ERP, loan origination and servicing systems, data warehouse, and accounting/FP&A reporting
Maintain the finance systems roadmap, spanning ERP, expense management, and integrations with loan subledger/servicing platforms, loan origination, and the enterprise data platform
Advance automation and system integration within the accounting and finance technology stack
Collaborate with Technology to streamline architecture and remove cross-platform redundancies
Lead initiatives to shorten the financial close cycle
Automate data integrations, journal entries, reconciliations, consolidations, and reporting workflows
Improve data readiness for SEC reporting, regulatory filings, and investor/securitization reporting
Enable reconciled product-level P&Ls across accounting and FP&A
Support the creation of standardized datasets in Snowflake for multiple use cases
Enhance FP&A self-service reporting capabilities and dashboards
Identify and eliminate manual processes across the accounting cycle and expense management
Implement automation tools such as reconciliation software, workflow engines, and data pipelines
Standardize finance processes across systems and business lines
Collaborate with cross-functional process owners to translate business requirements into scalable, cross-platform reporting solutions
Lead a portfolio of transformation programs with defined priorities, timelines, and ROI tracking
Coordinate across Finance, Risk, and Technology as the central point of contact
Oversee third-party vendors, system integrators, and implementation partners

Requirements

More than 15 years of experience in finance transformation, data, or finance systems leadership within financial services
Strong knowledge of accounting and close processes, FP&A, financial modeling, and the loan lifecycle from origination through servicing and charge-off
Hands-on experience with loan origination and servicing systems, Concur, data platforms/warehouses, and ERP/GL
Proven success integrating finance and lending platforms, standardizing data models, supporting government implementations, and automating finance processes
Strong systems orientation with the ability to connect disparate platforms
Effective cross-functional influencer across Finance, Risk, and Technology, with advanced interpersonal skills across diverse stakeholders
Proven ability to analyze relevant information and apply sound judgment
Ability to manage multiple complex initiatives concurrently amid competing priorities
Detail-oriented and action-focused
Strong verbal and written communication skills
Basic proficiency with Microsoft Office suite

Technologies

Snowflake
Concur

Desirable

Experience designing data flows across loan origination and servicing, General Ledger/ERP, data warehouse, and FP&A reporting
Experience supporting CECL/credit loss modeling infrastructure and SEC regulatory reporting
Hybrid background spanning Finance (Accounting / FP&A) and Data / Technology (architecture, data platforms)

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3mo ago

Data Engineer / Architect III - Finance Domain

Hudson Manpower Cincinnati, OH

Cincinnati, OH

3mo ago Closed

$50 - $55/hr Full time Analytics Business Analytics Business Intelligence

This position is no longer accepting applications (closed Jul 6, 2026).

Job Description

Data Engineer / Architect III for the Finance domain leading a large-scale M&A initiative, onsite in Cincinnati, focusing on enterprise data architecture, cloud data engineering, scalable ELT/ETL pipelines, and regulatory-grade data integration.

Responsibilities

Design and implement scalable enterprise data architectures to support analytics, reporting, and operations
Build and optimize cloud‑native ELT/ETL pipelines using Snowflake and DBT
Develop reusable transformation frameworks and enterprise data models
Create scalable solutions that meet analytics, reporting, and operational data needs
Build high‑performance analytical and operational data structures
Support enterprise merger and acquisition data integration initiatives
Analyze and consolidate disparate data sources from acquired organizations
Standardize enterprise data definitions, mappings, and transformation logic
Ensure accurate migration and reconciliation of financial and operational data
Support enterprise‑wide data consolidation efforts
Implement data validation and reconciliation processes
Establish data lineage, governance, auditability, and regulatory reporting readiness
Improve platform reliability, scalability, and maintainability
Assist with disaster recovery and operational resiliency planning
Partner with Enterprise Architects, Data Engineers, Business Analysts, Reporting Teams, Data Scientists, and business stakeholders
Translate business requirements into scalable technical solutions
Participate in architecture reviews, agile ceremonies, and technical planning sessions
Evaluate emerging technologies and engineering best practices

Requirements

Strong hands‑on Snowflake experience
Proficiency with DBT
Advanced SQL development and performance optimization
Expertise in data warehousing concepts
Experience building scalable ELT/ETL pipelines
Enterprise data modeling and data architecture
Cloud data platforms and data integration
Experience with data transformation frameworks
6+ years of data engineering or data architecture experience
Relational and non‑relational database experience
Strong knowledge of analytics architecture and enterprise data modeling

Technologies

Snowflake
DBT
SQL
Power BI
Java / J2EE

Benefits

Medical, Dental & Vision Insurance
401(k)
Paid Time Off
Professional Development Opportunities
Additional Benefits Package

Employment Type

W2 – Full Time

Location

Cincinnati, Ohio (Onsite)

Industry

Financial Services / Banking

Contract Type

Long-Term Contract

Submission Deadline

June 2, 2026

What Success Looks Like

Deliver scalable and reliable enterprise data solutions
Successfully integrate data across M&A initiatives
Build optimized Snowflake and DBT transformation frameworks
Improve enterprise reporting, analytics, and governance capabilities
Ensure regulatory‑quality data management and operational excellence

Technical Environment

Cloud Data Platform: Snowflake
Data Transformation: DBT; ELT / ETL Frameworks
Databases: Relational and Non‑Relational Databases
Analytics & Reporting: SQL; Power BI
Architecture: Enterprise Data Modeling; Data Warehousing; Data Governance
Additional Technologies: Java / J2EE

Ideal Candidate Profile

Highly analytical and detail‑oriented
Experience in regulated enterprise environments
Strong hands‑on engineering and architecture capabilities
Excels at solving complex data integration challenges
Expertise with modern cloud data platforms and transformation tools
Balances technical execution with business objectives
Collaborates effectively with technical and non‑technical stakeholders

Important Notes

W2 Full‑Time Opportunity
Onsite Role – Cincinnati, Ohio
Strong Snowflake Experience Required
DBT and Advanced SQL Expertise Required
Financial Services Experience Preferred
Enterprise Data Architecture and M&A Integration Focus

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3mo ago

Senior Financial Data & Analytics Engineer

Stony Brook University Stony Brook, NY

Stony Brook, NY

3mo ago Closed

$110k - $120k/yr Full time Senior Analytics Business Analytics

This position is no longer accepting applications (closed Jun 29, 2026).

Job Description

Stony Brook University, onsite in Stony Brook, NY, is seeking a Senior Financial Data & Analytics Engineer to design, develop, and maintain the School of Medicine's enterprise financial data infrastructure and analytics solutions. The role focuses on building data pipelines, integrating enterprise systems, and delivering executive-level dashboards, exercising significant independent judgment to architect scalable, secure, high-performance analytics that support institutional financial strategy.

Salary

USD 110,000 - 120,000 per year

Location

Stony Brook, NY (onsite)

Schedule

Full-time, Day Shift, 8:30 AM - 5:00 PM

Responsibilities

Design and implement a centralized financial data warehouse that unifies PeopleSoft, HR, CPMP, Report Center, SOMDASH, and external data feeds.
Develop and maintain ETL/ELT pipelines for structured and semi-structured data.
Develop and oversee API-driven data ingestion pipelines.
Ensure the data architecture scales, performs reliably, and remains robust.
Collaborate with IT and enterprise data teams on infrastructure and platform design.
Create analytics models for physician productivity using wRVUs, reimbursement patterns, and compensation.
Incorporate benchmarking data such as Vizient for comparative performance analysis.
Develop predictive and trend models to inform financial planning.
Analyze payer mix, revenue cycles, and departmental cost structures.
Design data models that support funds flow, ROI analysis, and All-Funds reporting.
Develop multi-dimensional datasets combining clinical, academic, and financial data.
Create standardized metrics and definitions for institutional reporting.
Support scenario modeling and financial forecasting.
Develop and maintain executive dashboards using Tableau or equivalent BI tools.
Build self-service analytics tools for departments and leadership.
Design intuitive, scalable, and interactive reporting solutions.
Translate complex datasets into actionable insights.
Establish and enforce data quality, validation, and reconciliation processes.
Support data governance frameworks and compliance with institutional policies.
Collaborate with SOM Finance, Clinical Practice, HR, IT, and leadership stakeholders.
Present findings and recommendations to executive leadership.
Perform other duties and special projects as assigned in support of departmental and institutional research missions.

Requirements

Bachelor's degree or higher in Data Science, Computer Science, Information Systems, Finance, Economics, or a related field.
At least five years of full-time experience in data engineering, data analytics, or financial analytics within healthcare or enterprise environments.
Experience with SQL and relational database systems, data warehouse design (including dimensional modeling and star schemas), ETL/ELT pipeline development, API integration and data ingestion, and BI platforms such as Tableau or equivalents.
Experience integrating data across ERP systems (e.g., PeopleSoft), HR systems, and operational/clinical datasets.
Knowledge of physician productivity metrics (e.g., wRVUs) and healthcare financial data structures.

Technologies

SQL
Tableau
Power BI
Excel
Snowflake
Databricks
Azure
AWS
Python
R
PeopleSoft

Benefits

UUP annual location pay ($4,000)

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3mo ago

Finance & Business Management

JPMorganChase Newark, DE

Newark, DE

3mo ago Closed

Full time Accounting Data Analysis Finance Architecture

This position is no longer accepting applications (closed Jun 20, 2026).

Job Description

JPMorganChase is seeking a Finance and Business Management professional for its SAIC team, onsite in Newark, DE. The role centers on analyzing and implementing changes to the financial accounting architecture, supporting Financial Control, Asset Class Control, and Product Control. Projects span from production remediations and industry/LOB initiatives to large-scale, multi-year programs aimed at replacing whole product systems.

Responsibilities

Document and articulate detailed accounting requirements for the finance function, ensuring compliance with US GAAP and local GAAP.
Collaborate with the controllers organization to capture requirements and pain points for inclusion in the accounting architecture design.
Coordinate with operations support teams to ensure requirements are aligned and fulfilled across both organizations.
Partner with technology teams to translate finance requirements into executable system logic.
Verify that the strategic infrastructure design adheres to established Finance Principles and Big Rules.
Assess controls to ensure the infrastructure operates within a robust control environment and identify opportunities for process and control improvements.
Develop and execute UAT test cases; participate in end-to-end testing, production-parallel testing, and data/conversion testing.
Coordinate with the PMO to support governance and oversight.
Communicate progress to finance stakeholders and facilitate reviews and design decisions throughout the project lifecycle.

Requirements

Self-starter capable of thriving in a fast-paced, results-driven environment.
2 to 4 years of finance experience; preferred background in controller or accounting/general ledger support.
Solid understanding of general ledger processes and accounting operations.
Strong analytical and problem-solving abilities, including root-cause analysis and solution development.
Excellent written and verbal communication skills, with strong presentation abilities.
Meticulous attention to detail and the ability to work independently.
Highly organized and self-motivated.
Effective multitasking and prioritization capabilities.
Strong interpersonal skills and relationship-building ability.
Proficiency in MS Excel (including Pivot Tables and VLOOKUP), plus PowerPoint and Word.

Technologies

MS Excel
PowerPoint
Word

Benefits

Base salary determined by role, experience, skill set, and location.
Commission-based pay and/or discretionary incentive compensation (cash and/or forfeitable equity).
Comprehensive health care coverage.
On-site health and wellness centers.
Retirement savings plan.
Backup childcare support.
Tuition reimbursement programs.
Mental health resources.
Financial coaching services.

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4mo ago

Oracle Finance Cloud AI Architect

Infosys Charlotte, NC

Charlotte, NC

4mo ago Closed

$96k - $125k/yr Full time Architect Artificial Intelligence Cloud Architecture

This position is no longer accepting applications (closed Jun 14, 2026).

Job Description

Infosys seeks an Oracle Finance Cloud AI Architect to lead architectural design and integration strategies for Oracle Finance Cloud AI solutions, ensuring performance, security, scalability, and knowledge transfer across teams.

Location: Charlotte, NC (onsite)

Salary: USD 96,021 - 124,827 per year

Responsibilities

Engage with customers to gather and analyze system requirements focused on performance, security, and scalability.
Advise on solution architecture, contribute to technology framework development, support enterprise architecture definition, and drive design creation.
Identify suitable technologies and tools available in the market, and perform a comparative analysis aligned with the client’s business needs to identify optimal architectural options.
Contribute to developing integration strategies based on validated proof of concept for proposed architectural solutions.
Facilitate smooth knowledge transfer and adherence to quality standards, while supporting build and deployment automation strategies.
Collaborate with development teams to resolve complex technical issues using deployment and rollout methods during build, deployment, and support phases.
Analyze system performance against implemented architectural solutions and assist in identifying potential risks in the system landscape.
Create artifacts documenting architectural frameworks and technical solutions to enrich the team’s knowledge repository.
Demonstrate the ability to design, analyze, and develop scalable and secure architectures.
Possess a knack for evaluating multiple technologies, tools, and frameworks to recommend optimal solutions.
Understand integration methodologies, proof of concept validation, and deployment strategies.
Document architectural frameworks and solutions effectively.
Proactively communicate with internal teams and clients to ensure alignment with business objectives.
Stay current with technical advancements to ensure timely and relevant recommendations.
Maintain standards and ensure smooth transitions through knowledge transfer.

Requirements

Ability to analyze, design, and develop scalable and secure architectures.
Aptitude for assessing multiple technologies, tools, and frameworks to recommend optimal solutions.
Understanding of integration methodologies, proof of concept validation, and deployment strategies.
Ability to document architectural frameworks and solutions.
Proactive communication with internal teams and clients to ensure alignment with business objectives.
Commitment to staying current with technical advancements for relevant recommendations.
Ability to maintain standards and ensure smooth transitions through knowledge transfer.

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4mo ago

Lead Developer, Finance Technology

The J. M. Smucker Company Orrville, OH

Orrville, OH

4mo ago Closed

Full time Senior Advanced Analytics Automation

This position is no longer accepting applications (closed May 23, 2026).

Job Description

Supports technical leadership and strategic direction for advanced analytics, RPA/automation, and digital tools supporting Finance and the broader organization at The J. M. Smucker Company.

Responsibilities

Provide technical leadership and set the strategic course for advanced analytics, RPA/automation, and digital tooling across Finance and the broader organization.
Architect high impact solutions, ensure compliance standards, mentor team members including interns, and advocate for prudent AI adoption.
Offer architectural input and hands-on support for analytics, data pipelines, and automation solutions.
Contribute to standards, design decisions, and reusable solution patterns to promote scalability, reliability, and alignment with enterprise and Finance strategies.
Identify, design, and deploy RPA and AI enabled automation to reduce manual work and shorten cycle times.
Engage across the automation lifecycle and collaborate with COE/IT teams to reinforce governance and sustainability.
Help colleagues recognize automation opportunities and understand how AI and automation can modernize Finance workflows.
Assist in developing and enhancing statistical and machine learning models.
Partner with teams to integrate predictive and AI driven insights into decision making, promoting responsible usage that strengthens analytical maturity.
Contribute to technology driven process improvements across Finance by equipping teams with modern tools, methods, and best practices.
Support enterprise reporting processes and reinforce data governance, audit, and SOX requirements through collaborative stewardship and cross functional partnership.

Requirements

Bachelor's degree in data Analytics, Business Analytics, Data Science, Computer Science, Information Systems, or related field
5+ years in analytics, programming, automation, or advanced data roles
Deep experience with R/Python and SQL; proven delivery with BI tools and production model operations
Experience with RPA platforms (Blue Prism, UiPath, Automation Anywhere)
Strong communication and stakeholder management skills

Continuous learning mindset and passion for emerging technologies

Technologies

R
Python
SQL
Blue Prism
UiPath
Automation Anywhere

Location

Orrville, OH

Work Arrangements

Hybrid, 40% in office (approximately 9 days per month)

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5mo ago

Fin Solutions Sr. Analyst

Citi Tampa, FL

Tampa, FL

5mo ago Closed

$87k - $131k/yr Full time Senior Analyst Bachelor's Degree

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