Artificial Intelligence

Artificial Intelligence Finance Jobs

28 jobs found

3d ago

Data Engineer, Operations Finance

Apple Sunnyvale, CA

Sunnyvale, CA

3d ago

$149k - $249k/yr Full time Apache Airflow Artificial Intelligence Automation

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Job Description

Apple is hiring a Data Engineer, Operations Finance to help power a financial data platform focused on logistics costing and forecasting. This onsite role in Sunnyvale, CA supports a modernization effort across operations finance, bringing together process reengineering, scalable data engineering, and automation for reporting and AI/GenAI workloads.

In this position, you will work at the intersection of finance operations and data infrastructure, translating logistics and supply chain finance needs into foundational data structures. You will also build and maintain high-performance pipelines and data models designed for analytics and AI/GenAI use cases, including vector-ready foundations for agentic and generative applications.

What you’ll do

Understand and document finance processes in the logistics and supply chain space.
Spot process reengineering and automation opportunities to drive measurable efficiency improvements.
Collaborate with financial analysts, engineers, and operations experts to define data needs and translate them into scalable data foundation structures.
Build scalable, flexible, high-performance data pipelines optimized for analytics, reporting, and AI/GenAI workloads.
Apply best practices in data modeling, governance, lineage, quality, and documentation to improve trust and consistency across the data ecosystem.
Partner with cross-functional engineering teams to develop and support vector-ready data models, feature pipelines, metadata systems, and other foundations needed for agentic and GenAI applications.
Design and build scalable data models and modern Data and Business solutions, including using tools such as Dataiku.

Minimum qualifications

At least 5 years of experience as a data engineer delivering end-to-end data pipelines.
A Bachelor’s degree in Computer Science, Information Systems, or an equivalent field.
Advanced SQL skills for complex transformations, optimization, and troubleshooting.
Python proficiency, with comfort writing clean, maintainable Python for data pipelines and automation.

Technologies you may work with

Dataiku
Data and Business solutions
Agentic/GenAI and AI/GenAI
Vector-ready data models
Snowflake
PostgreSQL
Airflow
Jenkins
CI/CD tools
Python and SQL

Pay and benefits

Base pay range: $149,200 to $249,000 per year.
Base pay is determined within the range based on skills, qualifications, experience, and location.
Comprehensive medical and dental coverage.
Retirement benefits.
Discounted products and free services.
Reimbursement for certain educational expenses, including tuition.
Discretionary bonuses or commission payments and potential relocation (discretionary and eligibility-dependent).
Opportunity to become an Apple shareholder via participation in Apple’s discretionary employee stock programs.
Eligible for discretionary restricted stock unit awards.
Ability to purchase Apple stock at a discount through the Employee Stock Purchase Plan (voluntary participation subject to plan terms).
Apple benefit, compensation, and employee stock programs are subject to eligibility requirements and the terms of the applicable plan or program.

Preferred qualifications

Experience using scheduling systems and CI/CD tools such as Airflow, Jenkins, and similar tools.
Hands-on experience with relational databases such as Snowflake, PostgreSQL, or comparable cloud data warehouses.
Knowledge of Supply Chain, Logistics, Finance, and Accounting processes.
Strong communication skills and the ability to work independently.

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5d ago

Financial Data Analyst

Ironsmith Fire, LLC Collierville, TN

Collierville, TN

5d ago

Full time Artificial Intelligence Business Analytics Business Intelligence

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Job Description

Connect financial and operational systems to deliver reliable, decision-ready data for leadership at Ironsmith Fire.

Key Responsibilities

Design, build, maintain, and troubleshoot data pipelines and API integrations across ERP/accounting, job-cost systems, payroll/HRIS, CRM, and related platforms.
Develop and maintain relational database schemas, data models, and structures that enable consistent financial and operational reporting.
Transform, standardize, join, and reconcile data from multiple source systems into accurate reporting datasets.
Implement data validation, reconciliation, and quality controls; investigate root causes of discrepancies and coordinate corrections with system stakeholders.
Build, maintain, and improve dashboards, recurring reports, and self-service analytics for FP&A, Finance, and branch/division leadership.
Partner with Finance to translate chart-of-accounts, budget, and job-cost details into KPIs, management reports, and actionable insights.
Support ad hoc analysis requests such as variance analysis, reconciliations, and comparisons across branches or business units.
Collaborate with business stakeholders to prioritize reporting needs, clarify metric definitions, and deliver solutions aligned with operational requirements.
Use approved AI/LLM tools, scripting, and automation to enhance data transformation, analysis, coding, and recurring reporting workflows.
Evaluate and implement process improvements that reduce manual effort, improve data availability, and maintain appropriate review and validation of automated outputs.
Support testing and ongoing enhancement of data integrations, reporting tools, and related system implementations.
Document data flows, transformation logic, business definitions, system dependencies, and reporting procedures to keep outputs repeatable and auditable.
Coordinate with IT, Finance, and source-system owners on integration design, data access, technical requirements, and resolution of data quality issues.
Apply company requirements for information security, confidentiality, access control, and change management when handling financial, employee, and operational data.
Communicate technical findings and constraints clearly to nontechnical audiences; identify topics requiring escalation to IT management or Finance leadership.
Perform other related duties as assigned; responsibilities may evolve as systems and reporting needs grow.

Requirements

5+ years of experience in data analytics, database administration/design, or a closely related field.
Advanced SQL skills and hands-on experience designing and working with relational databases.
Demonstrated experience building and maintaining API integrations and ETL/data transformation processes for software systems.
Practical experience using AI/LLM tools for coding, automation, or analysis.
Proficiency with at least one business intelligence or visualization tool, such as Power BI or Tableau.
Working knowledge of financial reporting, including profit-and-loss statements, job costing, or budgeting.
Ability to explain technical findings effectively to Finance and Operations stakeholders.

Preferred Qualifications

Experience in construction, specialty contracting, field services, or job-cost accounting environments.
Familiarity with Deltek ComputerEase, UKG, HubSpot, or comparable ERP, HRIS, and CRM platforms.
Experience supporting ERP implementations or systems migrations.
Python or other scripting experience for automation.
Experience with dbt, Snowflake, or modern data warehousing platforms.
Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Finance, or a related field, or equivalent practical experience.

Technology & Tools

SQL, Power BI, Tableau
API integrations, ETL
AI/LLM
Deltek ComputerEase, UKG, HubSpot
Python, dbt, Snowflake

Location & Work Environment

Collierville, TN (onsite), corporate headquarters
Primarily office-based work using computers, databases, reporting applications, and virtual collaboration tools
Coordination with IT, Finance, and operational teams; occasional travel to branches or business sites may be required
Work outside standard business hours may be necessary during system deployments, integration changes, or time-sensitive reporting cycles

Physical Requirements

Extended periods of sitting and computer use
Frequent verbal and written communication
Ability to move within an office environment and attend meetings
Reasonable accommodations may be made for qualified individuals with disabilities

Core Competencies

SQL, relational data modeling, technical problem-solving
Data integration, API development, ETL, analytical accuracy
Financial literacy, job-cost analysis, business acumen
Business intelligence, automation, responsible AI tool use
Cross-functional collaboration and clear stakeholder communication
Documentation, information stewardship, attention to detail, accountability for results

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11d ago

Data Engineer, Finance

SHIELD AI San Diego, CA

San Diego, CA

11d ago

$97k - $140k/yr Full time Ai/ml Data Engineering Artificial Intelligence Big Data

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Job Description

Shield AI is building a governed, dependable data foundation that supports Finance planning, analytics, and AI-enabled decision support. As a Data Engineer, Finance, you will focus on reusable Databricks integrations, semantic-layer infrastructure, and production data services that help power analytics and intelligent Finance workflows. This onsite role is based in San Diego, CA.

Compensation for the position is USD 97,000 - 140,000 per year.

Benefits

Bonus + Benefits + Equity
Pay within the range listed, plus bonus and benefits and equity
Pay within the range listed above with a temporary benefits package (applicable after 60 days of employment)

Responsibilities

Build and operate scalable pipelines and integrations connecting enterprise data to Finance products.
Develop semantic-layer infrastructure and governed data access for analytics, planning, and AI applications.
Set up end-to-end pipeline observability, including data-quality controls and resilient operational practices.
Engineer the services and integrations that support Databricks Genie and other AI-enabled Finance workflows.
Use AI coding assistants to accelerate delivery while validating correctness, security, and performance.
Apply FinOps practices to manage platform spend and optimize cost without reducing service quality.
Partner with analytics engineers and enterprise teams on architecture, data contracts, and sustainable ownership.

Requirements

Hands-on production data engineering experience using SQL and Python or PySpark.
Experience with cloud data platforms, orchestration, data modeling, and governed serving patterns.
Ability to design for observability, recoverability, security, and maintainability.
Proficiency with AI coding assistants and the ability to independently validate generated work.
Practical experience enabling AI capabilities on enterprise data, ideally in Databricks; experience with Snowflake Cortex or comparable platforms is welcome.
Strong cross-functional collaboration and production ownership.

Technologies

Databricks
SQL
Python
PySpark
Snowflake Cortex
Databricks Genie
Delta Lake

Preferred Qualifications

Experience with Databricks, Delta Lake, cloud infrastructure, and deployment automation.
Experience building AI application backends, model integrations, or LLM-based workflows.
Experience with FinOps, financial data, or enterprise-system integrations.

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14d ago

Data Engineer - Financial Intelligence

Ingram Micro Irvine, CA

Irvine, CA

14d ago

$99k - $158k/yr Full time Analytics Analytics Engineer Artificial Intelligence

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Job Description

Ingram Micro is hiring a Data Engineer (Financial Intelligence) to build scalable pipelines and data models that support Commercial Finance analytics, reporting, intelligence, and AI.

Responsibilities

Develop the data pipeline powering Commercial Finance analytics, reporting, intelligence, and AI
Design and support scalable ETL/ELT pipelines
Create and optimize data models for reporting, analytics, and AI models
Maintain data quality across finance data sources
Ensure data quality, data integrity, and data governance
Enable dashboards and models that support decisions related to profitability, revenue quality, and partner value
Support financial dashboards, including PowerBI / Power BI, and KPI reporting
Partner with Commercial Finance and Go-To-Market Sales and Vendor teams
Translate finance and business requirements into technical solutions
Conduct root-cause analysis to address data and reporting issues
Recommend process improvements and automation opportunities

Requirements

Design, build, and maintain scalable data pipelines (ETL/ELT)
Develop and optimize data models for reporting, analytics, and AI models
Ensure data quality, integrity, and governance
Experience handling large datasets and integrating multiple data sources
Expertise with relational databases and working with large, granular datasets
Performance tuning and query optimization
Familiarity with GCP (preferred)
Python (preferred)
SQL expertise and basic scripting and automation skills required
Understanding of semantic models and business intelligence architecture
Knowledge of key finance concepts, including P&L analytics across sales and gross margins
Four-year college degree and 3 years functional experience, including a minimum 1-year position-specific experience

Technologies

ETL/ELT
GCP
Python
SQL
PowerBI / Power BI
SAP
Microsoft Dynamics
OneStream

Location and Schedule

Irvine, CA (hybrid), based at Ingram Micro’s Irvine, California corporate headquarters

Compensation

USD 98,600 - 157,800 per year (typical base pay range across the U.S.)
Some roles may be eligible for additional rewards, including merit increases, annual bonus or sales incentives, and long-term incentives

Benefits

Healthcare benefits
Paid time off
Parental leave
401(k) plan with company match
Short-term and long-term disability coverage
Basic life insurance
Wellbeing benefits

Be prepared to pass a drug test and successfully pass a pre-employment (post offer) background check
This listing is not a complete record of job duties; it represents responsibilities you may be asked to perform
Equal opportunity employer

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18d ago

Finance Data Engineer

Apple Austin, TX

Austin, TX

18d ago

$149k - $249k/yr Full time Artificial Intelligence Big Data Data Analytics

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Job Description

The Product Marketing Customer Analytics team is seeking a Finance Data Engineer to design and deliver scalable customer analytics data pipelines and platforms. The role focuses on analytics-ready infrastructure spanning batch and streaming, with an emphasis on data quality, performance, and close collaboration with analytics consumers and data scientists.

Location

Austin, TX (onsite)

Compensation

USD 149,200 - 249,000 per year

Key Responsibilities

Develop and automate large-scale, high-performance batch and/or streaming platform capabilities to support faster analytics
Design large-scale, complex application frameworks with strong runtime characteristics, including low latency, fault tolerance, and availability
Build and maintain custom frameworks aligned to engineering and analytics needs
Partner with analytics consumers and data scientists to create and improve constructs and address data engineering challenges at scale
Build data pipelines using Spark, Trino, lakehouse, or comparable distributed platform approaches, including Snowflake
Deploy inclusive data quality checks to support high-quality datasets
Promote high standards in software engineering practices for data infrastructure and pipelines built at scale
Apply structured problem-solving to break down ambiguous issues and propose impactful solutions
Apply Generative AI and Retrieval Augmented Generation (RAG) techniques to enhance data analytics capabilities
Maintain strong documentation and technical writing; use effective verbal and written communication
Demonstrate attention to detail in delivery

Required Qualifications

5+ years of relevant Data Engineering experience
Undergraduate degree in Computer Science, MIS, Engineering, Mathematics, or another quantitative discipline (required)
5+ years of experience in data engineering and ETL pipeline development
5+ years of experience with Big Data Technologies including Spark, Lakehouse, and Trino
Experience with Snowflake
Familiarity with RAG techniques working with LLMs
Experience creating and consuming Model Context Protocol (MCP) services

Preferred Qualifications

Experience with Kubernetes and Docker (preferred)
Additional alignment with the required areas above, including Spark, Lakehouse, Trino, RAG with LLMs, MCP services, and Snowflake

Technical Skills and Tools

Spark, Trino, Lakehouse, Snowflake
Kubernetes, Docker
Generative AI, Retrieval Augmented Generation (RAG), LLMs
Model Context Protocol (MCP)

Benefits

Comprehensive medical and dental coverage
Retirement benefits
Discounted products and free services
Reimbursement for certain educational expenses, including tuition
Opportunity to become an Apple shareholder through Apple’s discretionary employee stock programs
Eligibility for discretionary restricted stock unit awards
Option to purchase Apple stock at a discount through the Employee Stock Purchase Plan
Discretionary bonuses or commission payments and relocation (if eligible)

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19d ago

Senior Analytics Engineer - Finance (R6185)

SHIELD AI San Diego, CA

San Diego, CA

19d ago

$120k - $190k/yr Full time Senior Analytics Engineering Artificial Intelligence

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Job Description

SHIELD AI is hiring a Senior Analytics Engineer (Finance) to design and deliver trusted data products for Finance and go-to-market stakeholders.

Key Responsibilities

Collaborate with Finance and GTM leaders to shape the analytics roadmap, prioritize high-impact products, and resolve competing requirements
Design and deliver governed datasets and semantic models that enable reporting, planning, scenario analysis, and strategic decision-making
Set modeling and metric standards across domains, applying judgment across architecture, data quality, and maintainability
Build conversational analytics and AI-enabled workflows, leveraging Databricks Genie with grounded, trusted business context
Use AI coding assistants to accelerate delivery and explore new capabilities while maintaining rigorous validation and quality
Own business-facing reconciliation and acceptance for outputs, partnering with data engineering for reliable delivery
Mentor engineers and Finance partners to strengthen technical practices and expand self-service capabilities

Requirements

Substantial experience in analytics engineering, BI engineering, or financial data modeling, with advanced SQL and a record of shipping production data products
Proven ability to lead ambiguous, cross-functional work from problem definition through adoption
Proficiency with AI coding assistants and sound judgment when reviewing generated work
Practical experience with AI-assisted analytics, ideally Databricks Genie; experience with Snowflake Cortex or comparable tools is welcome
Sound architectural judgment and disciplined development practices
Experience mentoring others and influencing senior stakeholders

Technology Stack

Databricks
Databricks Genie
SQL
Snowflake Cortex
Python

Benefits

Pay within the range listed + Bonus + Benefits + Equity
Pay within the range listed above + temporary benefits package (applicable after 60 days of employment)

Preferred Qualifications

Experience with Databricks, Python, semantic layers, or AI application development
Experience supporting FP&A, GTM, Strategic Finance, Accounting, or Program Finance
Familiarity with enterprise planning, financial controls, or high-growth business environments

Compensation

USD 120,000 - 190,000 per yearly

Location: San Diego, CA (onsite)

Employment Type: Full-time regular employee offer package (or temporary employee offer package as applicable)

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21d ago

Financial Data Analyst

Airbus Americas, Inc. Herndon, VA

Herndon, VA

21d ago

Contract Analytics Artificial Intelligence Business Analytics

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Job Description

The Financial Data Analyst will support business controlling activities across Airbus Services perimeters in the Americas. This temporary/contract role is based onsite in Herndon, VA and focuses on financial reporting, cost controlling, and advanced performance management analysis, including the integration of AI and automated analytics into planning, forecasting, and reporting.

Key Responsibilities

Plan the growth and development of the regional Services business within the Annual Operative Planning (AOP) cycle.
Prepare and deliver regional financial reviews, including deep-dive root-cause analysis on budget over/under-performance.
Convert raw variance information into actionable risk-mitigation or opportunity-exploitation strategies.
Customize and deploy AI Use-Case Assessments for Financial Planning, Budgeting, and Forecasting to transition toward predictive, machine-learning-driven rolling forecasts.
Support the adoption of AI-powered data retrieval systems to reduce manual data-gathering cycles and enable instant access to P&L, headcount, and KPI metrics.
Assist the Head of Services Finance with executive-level financial briefings, metrics, and dashboards for senior management across Airbus Americas and Global Services HQ.
Contribute to the expansion of the Direct “Revenue-to-Cash” Free Cash Flow (FCF) methodology.
Explore the use of predictive cash-forecasting algorithms to improve working capital predictability within regional collection pipelines.
Interface with European counterparts and Business Operations Analysts to provide and gather business and operational data for analysis and reporting.
Maintain visibility of offsite supplier financial purchasing obligations and current views of outsourced workload requirements to ensure forecast and expenditure accuracy.
Follow rules and guides to ensure compliance, including detailed knowledge of integrated AA processes across Procurement, Finance, and HR.
Partner with regional commercial and business development teams to model financial scenarios for new sales opportunities and addressable market share growth.
Provide financial modeling support for new industrial footprint business cases, including warehouse redesigns and regional distribution expansions.
Support financial steering of the “Hub-to-Regionalization” strategy by evaluating Gross Margin ROI to maximize regional supply chain margin velocity.
Support the regional finance transformation roadmap by identifying manual reporting roadblocks and collaborating with the digital team to replace legacy Excel workflows with automated tools such as Skywise-connected reports and AI-driven anomalies tracking.
Support Tariff controlling by tracking financial exposure to customs and generating data-driven simulations for classification optimization to protect regional competitiveness.

Required Qualifications

Bachelor’s degree (Master preferable) in Finance, Accounting, Business Analytics, or Computer Sciences.
At least 1 year of experience in Finance, Accounting, or Business/Data Analytics.
Knowledge of business intelligence software and common platforms including G-Suite (Sheets), Microsoft Office (Excel), and required accounting/finance concepts and software.
Ability to work effectively under pressure in a rapidly changing environment to meet deadlines.
Strong attention to detail with high standards for quality and accuracy.
Professional demeanor, collegial approach, and solutions-oriented mindset.
Strong organization, follow through, and execution.
Ability to prepare clear, precise reports and present business-oriented recommendations to site and project leadership.
Excellent written and verbal communication and presentation skills.
Fluency in English required; other languages (French, Spanish, German) are preferred.
Authorized to work in the US and eligible for employment in the US.

Preferred Qualifications

Business Analytics software experience, SAP, Tableau Desktop Certification, and Alteryx Core Certification are preferred.

Technology Tools

SAP, Excel, PowerPoint, Google Sheets, G-Suite
Tableau Desktop, Alteryx, Skywise
P&L, KPI, machine-learning-driven rolling forecasts, and generative AI