Senior Finance AI & Automation Developer

EnerSys is a global leader in stored energy solutions for industrial applications. We have over thirty manufacturing and assembly plants worldwide servicing over 10,000 customers in more than 100 countries. Worldwide headquarters are located in Reading, PA, USA with regional headquarters in Europe and Asia. We complement our extensive line of Motive Power and Energy Systems with a full range of integrated services and systems. With sales and service locations throughout the world, and over 100 years of battery experience, EnerSys is the power/full solution for stored DC power products. 

What We’re Offering

• Paid time off plus paid holidays
• Medical/dental/vision insurance plan
• Life insurance, short/long term disability, tuition reimbursement, flex spending, and employee stock purchase plan
• 401K plan
• Culture: We value and strive for excellence in all that we do through innovative technology by creating long lasting relationships with our stakeholders, co-workers, and customers. We continually strive to foster teamwork, engagement and enhance our employee’s skills and competence by providing appropriate training.

Compensation Range: $95,300.00 - $119,100.00 

Compensation may vary based on applicant's work experience, education level, skill set, and/or location.

Work Arrangement: Hybrid (Reading, PA) or Remote

Hybrid Schedule for Local Candidates:

• Monday & Friday: Remote

• Tuesday–Thursday: Onsite at our Reading, PA location

Candidates outside the Reading, PA area may be considered for a fully remote arrangement.

Job Purpose

The Senior Finance AI & Automation Developer’s primary responsibilities are to design, build, & deploy automation and AI-driven solutions across Finance processes. These projects will require project leadership and coordination with cross-functional departments. This role sits at the intersection of Finance, Technology, and Process Improvement and focuses on eliminating manual work, accelerating reporting cycles, and enabling scalable, intelligent workflows across the Finance organization. The role will partner with finance teams to map current processes, identify automation opportunities, and redesign workflows to reduce manual effort and cycle time. This position will deploy solutions into production environments, validate outputs with stakeholders and coordinate with IT for access, infrastructure, & governance. The position will also monitor performance of automations & AI solutions as well as identify additional use cases and scale successful pilots. Responsibilities may also include other adhoc tasks such as Value Stream analysis and Finance SharePoint Administration, etc. 

Essential Duties and Responsibilities

• Design and Build Automation Solutions
• Transformation Project Leadership
• Power BI, Power Automate, & Power Query Projects
• AI Agent & Chatbot Projects
• AI Workflow Projects
• Predictive Modeling Projects
• Educate Finance Team about AI Applications & Tools
• Project Documentation and Change Management
• Finance SharePoint Site Administration
• Ad Hoc Projects & Tasks

SUPERVISORY RESPONSIBILITIES : No direct reports but will lead projects

Qualifications

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Education and/or Experience:

• Bachelors’ degree in Engineering, Technology field, and/or Finance or equivalent
• Project Management experience required
• Digital Process Automation experience required
• AI workflow experience required
• AI Agent creation experience required
• App building experience required (personal and/or professional)
• AI-generated coding experience required (i.e. Claude Code, Codex)
• Azure experience required
• Strong understanding of data structure and APIs required
• Experience with Python and/or other code languages required
• 6 Sigma Black Belt certification preferred
• Lean methodology experience preferred
• Strong IT skills including proficiency with Microsoft Office applications; enterprise resource planning systems (i.e., SAP), etc. 
• Power BI, Power Automate, & Power Query experience preferred
• 3-5 Years of relevant experience or equivalent based on project volume and scope

Other Skills :

• Creative in finding solutions and overcoming obstacles
• Initiative: Aggressive while using good judgment
• Skilled with data management & project completion
• Ability to present findings and data to different audiences up to the Executive level
• Team player while also excelling as an individual contributor.
• Fast learner with strong analytical and problem-solving skills.
• Able to successfully manage multiple projects and tasks with various deadlines.
• Articulate, Positive & Outgoing communicator
• Optimistic change agent that stays on the cutting edge of technology and technical requirements.
• Curious: willing to ask questions and learn
• Highly motivated
• Adaptable to change
• Exhibit a servant attitude toward colleagues and internal customers

General Job Requirements

• This position will work in an office setting, expect minimal physical demands.

EnerSys provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

We use artificial intelligence to screen, assess and select applicants for open positions, including for the purposes of reviewing and ranking application materials and scoring answers to application questions. Accordingly, decisions about your application and eligibility for employment with EnerSys may be made based exclusively on the automated processing of the personal information that you submit in your application materials.