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Corporate Forecasting Manager – Oracle EPM

NXP Semiconductors

Corporate Forecasting Manager – Oracle EPM

NXP Semiconductors

Kuala Lumpur

·

On-site

·

Full-time

·

2w ago

Required Skills

Oracle EPM Planning

SQL

Groovy

Machine Learning

Financial Modeling

FP&A

Calculation Manager

Position Summary

We are seeking a highly skilled and forward-thinking Corporate Forecasting Manager to lead and optimize our enterprise-wide forecasting process using Oracle EPM Planning. This role is ideal for someone who thrives at the intersection of finance, technology, and data science—bringing together deep forecasting expertise, hands-on coding skills, and advanced machine learning capabilities to drive smarter, faster, and more accurate planning decisions.

Key Responsibilities

  • Lead and manage the corporate forecasting process using Oracle EPM Planning, ensuring accuracy, timeliness, and strategic alignment.
  • Design, build, and maintain scalable EPM models to support dynamic planning, scenario analysis, and rolling forecasts.
  • Develop and deploy machine learning models to improve forecast accuracy, detect anomalies, and generate predictive insights.
  • Automate data flows and system integrations between Oracle EPM and other enterprise platforms using SQL, Python, and related technologies.
  • Collaborate cross-functionally to gather requirements, validate assumptions, and ensure model integrity.
  • Continuously monitor and enhance forecasting performance through KPI tracking, variance analysis, and process optimization.
  • Train and mentor finance teams on EPM tools, forecasting methodologies, and best practices.
  • Optimize application performance for data loads, aggregations, calculations, and retrievals.
  • Develop and maintain custom business rules, calculation scripts, forms, outlines, load rules, and batch scripts to support budgeting and forecasting needs.
  • Manage and monitor Oracle load processes, including ad hoc requests and scheduled nightly loads, ensuring data integrity and timely issue resolution.
  • Ensure compliance with SOX, internal policies, and change control protocols.
  • Implement and maintain narrative reporting and centralized financial reports for executive and operational use.

Required Qualifications

  • Bachelor’s or master’s degree in finance, Computer Science, Data Science, or a related field.
  • 8 years of experience in FP&A or financial systems management, with full lifecycle implementation experience in Oracle EPM Planning.
  • Strong programming skills in calculation manager scripts, groovy, and/or SQL
  • Proven experience in machine learning model development for forecasting and predictive analytics.
  • Deep understanding of financial modeling, budgeting, and forecasting principles.
  • Demonstrated ability to train, mentor, and develop others in Oracle EPM tools and methodologies.
  • Strong analytical and problem-solving skills with the ability to define issues and recommend solutions.
  • Excellent communication and stakeholder management skills.
  • Proven ability to drive collaboration across diverse teams and influence decision-making.
  • Hands-on experience with the full suite of Oracle Cloud EPM products.

Preferred Qualifications

  • Oracle EPM certification or equivalent experience.
  • Familiarity with data visualization tools such as Power BITableau, or similar platforms.
  • Experience with REST API integrations and cloud-based data architecture.

Why Join Us?

  • Be a key driver of innovation in financial planning and forecasting.
  • Work in a collaborative, high-impact environment with visibility across the organization.
  • Leverage cutting-edge technologies to transform how we plan and make decisions.
  • Grow your career at the intersection of finance, data science, and enterprise technology.

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About NXP Semiconductors

NXP Semiconductors

NXP Semiconductors produces secure connectivity solutions for embedded applications.

10,001+

Employees

Eindhoven

Headquarters

Reviews

3.9

44 reviews

Work Life Balance

3.8

Compensation

3.9

Culture

4.1

Career

3.6

Management

3.8

73%

Recommend to a Friend

Pros

Competitive compensation and benefits

Good work-life balance and flexible environment

Interesting projects and challenges

Cons

Room for improvement in processes

Work-life balance varies by team

Internal communication could improve

Salary Ranges

267 data points

Junior/L3

L3

Junior/L3 · Data Scientist

0 reports

$114,000

total / year

Base

$99,000

Stock

-

Bonus

$15,000

$96,900

$131,100

Interview Experience

42 interviews

Difficulty

3.1

/ 5

Duration

14-28 weeks

Offer Rate

33%

Experience

Positive 69%

Neutral 13%

Negative 18%

Interview Process

1

Phone Screen

2

Technical Interview

3

Hiring Manager

4

Team Fit

Common Questions

Technical skills

Past experience

Team collaboration

Problem solving