PS Planning Analytics Manager

PS Planning Analytics Manager

Description -

Job Description:

We are seeking a highly skilled and motivated Manager to lead our Automation and Analytics initiatives within the Personal Systems (PS) Supply Planning team. This role requires a blend of technical expertise, leadership capabilities, and effective communication skills to drive data-driven decision-making, operational efficiency, and continuous improvement. The ideal candidate will be responsible for developing and deploying automation solutions, building advanced analytical models, and managing a team of talented data professionals.

Key Responsibilities:

• Lead Automation Initiatives: Oversee the development and implementation of automated workflows and processes using tools such as Power Automate, UiPath, or Blue Prism to streamline supply planning operations.
• Develop Advanced Analytics Solutions: Utilize AI/ML frameworks (TensorFlow, scikit-learn, PyTorch) and programming languages (Python, R) to create predictive models and enhance data-driven strategies.
• Design and Manage Power BI Dashboards: Create and maintain interactive dashboards in Power BI, including data modeling, DAX, and report creation, to provide actionable insights for stakeholders.
• Data Management and Analysis: Conduct thorough data analysis, interpret results, and generate comprehensive reports to support business decision-making. Manage large datasets efficiently using SQL and other database management tools.
• Collaborate with Cross-Functional Teams: Work closely with various departments, including GSM, GPS, and Factory Ops, to understand their data needs and provide tailored solutions that meet business objectives.
• Project Management: Lead and manage multiple projects simultaneously, ensuring timely delivery and alignment with business goals.
• Team Leadership and Development: Mentor and develop a team of data professionals, fostering a culture of continuous improvement and innovation.
• Continuous Improvement: Stay updated with the latest trends and technologies in data analytics, automation, and AI/ML to continuously improve processes and solutions.

Education and Experience Required:

• Educational Background:

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Information Technology, or a related field.
  • Relevant certifications in data analytics, AI/ML, or automation tools are a plus.

• Experience:

  • Minimally 10 years of work experience in a technology-driven environment, with a focus on data analytics, automation, and AI/ML.
  • Demonstrated success in developing and deploying automation and AI/ML solutions that drive business value.
  • Experience with platforms like SAP and Integrated Business Planning (IBP).

Knowledge and Skills:

• Technical Expertise:

  • Proficiency in Power BI, including data modeling, DAX, and report creation.
  • Strong programming skills in Python, R, or similar languages.
  • Experience with automation tools such as Power Automate, UiPath, or Blue Prism.
  • Knowledge of AI/ML frameworks and libraries like TensorFlow, scikit-learn, or PyTorch.
  • Familiarity with SQL and database management.

• Analytical Skills:

  • Excellent problem-solving abilities and critical thinking.
  • Strong statistical analysis and data interpretation skills.
  • Ability to handle and analyze large datasets efficiently.

• Soft Skills:

  • Effective communication and presentation skills to convey technical information to non-technical stakeholders.
  • Strong project management and organizational skills.
  • Ability to work collaboratively in a team environment.

Preferred Skills:

• Experience with supply chain management, particularly in supply planning and inventory optimization.
• Knowledge of the latest trends and best practices in supply chain analytics and automation.
• Demonstrated ability to lead and mentor a team of data professionals.

Sustainable impact is HP’s commitment to create positive, lasting change for the planet, its people, and our communities. This serves as a guiding principle for delivering on our corporate vision – to create technology that makes life better for everyone, everywhere

HP is a Human Capital Partner – we commit to human capital development and adopting progressive workplace practices in Singapore.
 
#LI-POST

Job -

Data & Information Technology

Schedule -

Full time

Shift -

No shift premium (Singapore)

Travel -

Relocation -

No

Equal Opportunity Employer (EEO) - 

HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

If you’d like more information about HP’s EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law – Supplement