About the job
Role
As an Oracle EPM Lead Engineer, you will lead the design, development, and continuous improvement of Oracle EPM Cloud Planning solutions. You will combine strong hands-on engineering expertise with technical leadership, translating business requirements into scalable, secure, and maintainable solutions.
You will act as a key bridge between architecture, engineering, and business teams, setting technical direction, guiding engineers, and driving engineering excellence, automation, and AI-enabled capabilities across the EPM platform.
Key Responsibilities
- Lead the design and implementation of Oracle EPM Cloud Planning solutions.
- Develop and maintain Groovy scripts, Business Rules, Calculation Manager artifacts, forms, dashboards, and automation frameworks.
- Translate business requirements into robust technical designs and solutions.
- Design and support integrations using REST APIs, Data Exchange, Data Management, and EPM Automate.
- Drive platform stability, performance optimization, automation, and operational excellence.
- Explore and implement AI-enabled capabilities to improve planning, forecasting, user experience, and decision-making.
- Provide technical leadership within the squad, guiding engineers and driving technical decisions and solutions.
- Lead technical discussions and design reviews, creating alignment across engineering, architecture, and business stakeholders.
- Mentor engineers, share knowledge, and promote strong engineering practices.
- Take ownership of complex technical initiatives and drive them from design through successful implementation.
- Ensure solutions comply with relevant engineering, security, and risk standards.
Required Skills & Experience
- Strong hands-on experience with Oracle EPM Cloud Planning.
- Groovy scripting, Business Rules, and Calculation Manager.
- Data Management, Data Exchange, REST APIs, and EPM Automate.
- Smart View, performance tuning, and troubleshooting.
- Strong solution design and engineering capabilities.
- Experience providing technical leadership, mentoring engineers, and influencing technical decisions.
- Ability to collaborate effectively and create alignment across technical and business stakeholders.
- Strong ownership mindset with the ability to drive complex technical initiatives.
- Exposure to AI/ML-enabled planning, predictive forecasting, or GenAI-assisted business processes is an advantage.
Engineering Competencies
- Solution Design & Engineering
- Technical Leadership
- Agile & DevOps
- Automation-First Mindset
- Stakeholder Management & Collaboration
- Mentoring & Knowledge Sharing
- Ownership & Delivery
- AI & Innovation Mindset
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