Automation, Data Science, and PMO Lead

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Date: May 11, 2026

Location: Muntinlupa City, National Capital Region (NCR), PH, 1781

Company: W. R. Grace & Co.

About Grace 

Grace, established in 1854, is a Standard Industries company and a leading global supplier of specialty chemicals and solutions that enable industries to enhance modern life. Our customers use our catalysts, engineered materials, process technologies and fine chemicals to manufacture everyday products – like renewable fuels, pharmaceuticals and food packaging – better, faster and smarter. Our thousands of employees work to harness the power of science for a better world at our global headquarters in Columbia, Maryland and locations worldwide. 


Grace Global Business Services (GBS)

At Grace Global Business Services (GBS) in Manila, Philippines, our teams play a critical role in supporting the organization’s worldwide operations. For more than a decade, GBS has been a trusted partner, delivering expertise in shared services, process excellence, and digital enablement. Our team members support business lines and functions across Grace, including Finance, Human Resources, Information Technology, Procurement, Supply Chain and more.

At GBS, you’ll have the opportunity to make an impact—working alongside global colleagues to help shape the chemical manufacturing industry. You’ll be part of a collaborative, team-oriented culture where safety comes first. We prioritize your well-being by offering competitive benefits and flexible working options that help you thrive. Here, you’ll find meaningful ways to grow your career, whether deepening your expertise in your field or exploring new roles.

Job Description

As the Automation, Data Science and PMO Lead, you will play a pivotal role in driving automation initiatives and leveraging data science techniques to enhance operational efficiency, drive insights, and support strategic decision-making. You will work closely with cross-functional teams to identify automation opportunities, develop advanced analytics solutions, implement data-driven strategies and project manage digital innovation and transformation initiatives that drive business growth and innovation.

Responsibilities

  • Automation Strategy: Develop and execute the automation strategy, identifying areas for process automation and optimization across the organization.
  • Data Analysis: Utilize advanced analytics techniques to extract insights from data, identify trends, and support data-driven decision-making.
  • Automation Development: Design, develop, and implement automation solutions using tools such as robotic process automation (RPA), scripting languages, and workflow automation platforms.
  • Data Modeling: Build and deploy predictive models, machine learning algorithms, and statistical analyses to solve business problems and improve operational efficiency.
  • Process Improvement: Identify opportunities for process improvement and optimization through automation and data-driven approaches, collaborating with stakeholders to implement solutions.
  • Tool Evaluation: Research and evaluate emerging automation and data science tools and technologies, recommending solutions that align with business objectives and requirements.
  • Cross-functional Collaboration: Collaborate with business units and functional teams to understand their automation and data science needs, provide guidance, and deliver solutions that meet their requirements.
  • Quality Assurance: Ensure the accuracy, reliability, and integrity of data and automation solutions through rigorous testing, validation, and quality assurance processes.
  • Training and Knowledge Sharing: Provide training, mentorship, and knowledge sharing sessions to colleagues on automation tools, data science techniques, and best practices.
  • Continuous Improvement: Stay abreast of industry trends, best practices, and emerging technologies in automation and data science, continuously improving skills and capabilities to drive innovation and excellence.
  • Project governance, planning and execution: leading PMO for digital innovation projects from ideation to implementation as aligned with business objectives.

Required Qualifications

  • Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, Business or related field; advanced degree preferred.
  • At least 5 years of experience in automation, data science, or related roles, with a focus on developing and implementing automation solutions and data-driven insights.
  • Minimum of 5 years of experience in project management, with focus on digital innovation and transformation initiatives.
  • Proficiency in programming languages such as Python, R, or Java, with experience in scripting, data manipulation, and automation scripting.
  • Strong understanding of automation technologies and frameworks, including robotic process automation (RPA), workflow automation platforms, process mining tools and dashboard (Power Apps, Power BI etc.)
  • Expertise in data analysis, statistical modeling, and machine learning techniques, with hands-on experience in building and deploying predictive models and algorithms.
  • Familiarity with data visualization tools such as Tableau, Power BI, or matplotlib, for presenting insights and findings to stakeholders.
  • Excellent problem-solving and analytical skills, with the ability to translate complex business requirements into practical automation and data science solutions.
  • Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders at all levels of the organization.
  • Detail-oriented with a focus on quality and accuracy, ensuring data integrity and reliability in all automation and data science initiatives.
  • Continuous learner with a passion for staying updated on industry trends, best practices, and emerging technologies in automation and data science.
  • Proven track record of successfully leading complex projects from inception to completion, delivering business value and driving innovation.
  • Preferably with knowledge in Lean Six Sigma, Design Thinking and Operational Maturity methodologies.

Benefits

  • Guaranteed 14th month pay
  • Above-market Retirement Plan design
  • LinkedIn Learning access
  • Established Performance Incentive Program
  • HMO coverage for employees on day 1
  • Free HMO coverage for up to 3 qualified dependents
  • Educational assistance 

Grace is not accepting unsolicited assistance from search firms for this employment opportunity. Please, no phone calls or emails. All resumes submitted by search firms to any employee at Grace via email, the Internet or in any form and/or method without a valid written search agreement in place for this position will be deemed the sole property of Grace. No fee will be paid in the event the candidate is hired by Grace as a result of the referral or through other means.