Advisor III, Data & MLOps

Phillips 66 Company; Houston, Northern (TX, KY); Hybrid; USD 125,000 - 153,000; Full time

Benefits offered by this job

VCIP bonus

401k match

Medical/Dental/Vision benefits

Well-being programs

Job summary

Phillips 66 is seeking an Advisor III, Machine Learning Engineering (Data & MLOps) to own the full lifecycle of production-grade AI/ML solutions. The role collaborates with data professionals, software engineers, and business leaders to deploy reliable AI products across diverse domains.

Responsibilities span design, development, validation, deployment, monitoring, and continuous improvement of ML solutions, with emphasis on scalability, governance, and collaboration across enterprise platforms

Qualifications

• Bachelor’s degree or higher in Computer Science, Engineering, Mathematics, Statistics, Physical Sciences, or a related field.
• Three or more years of relevant experience in data engineering, analytics, data science, software development, or machine learning, including the ability to work independently on complex problems.

Responsibilities

• Own the end-to-end delivery of ML models and AI-enabled products from design to production, including monitoring and improvement.
• Take accountability for data prep, feature engineering, model development, evaluation, deployment, and lifecycle governance.
• Apply ML, predictive analytics, and stats to identify patterns, generate insights, and automate processes to improve business performance.
• Develop scalable data and ML pipelines for production data storage, transformation, and serving.

Skills

Machine learning

Data engineering

Analytics

Independent problem solving

Education

Bachelor’s degree or higher in Computer Science, Engineering, Mathematics, Statistics, Physical Sciences, or a related field

Tools

Microsoft Azure

AWS

Databricks

LangChain

LlamaIndex

Semantic Kernel

Power BI

TensorFlow

PyTorch

scikit-learn

Python

C#

Job description

Select how often (in days) to receive an alert:

At Phillips 66, we care about the whole person. That means providing access to quality programs, resources and care that support you and your family. We believe well-being – physical, emotional, social and financial – plays an important role in helping our people thrive. When our employees are supported at every stage of life, they’re empowered to do their best work and make a meaningful impact, both personally and professionally.

Houston, TX, US, 77042 Bartlesville, OK, US, 74004

Job Field: Information Technology

Phillips 66 & YOU - Together we can fuel the future

The Advisor III, Machine Learning Engineering (Data & MLOps) owns the full lifecycle of production-grade artificial intelligence and machine learning solutions—from strategy and design through development, deployment, operation, and continuous improvement—to address high-value business problems across Phillips 66. This role combines strong machine learning engineering capabilities with the data engineering foundation required to build reliable, scalable, and maintainable AI products.

The position partners closely with business leaders, data professionals, software engineers, and other technology teams to translate complex requirements into practical solutions. The work may support refining, transportation, commercial, marketing, and other data-intensive business areas, with a focus on improving efficiency, reliability, decision-making, and innovation.

What You’ll Do

• Own the end-to-end delivery of machine learning models, algorithms, and AI-enabled digital products, from solution design and development through validation, deployment, production operation, and continuous improvement.
• Take accountability for end-to-end ML solution outcomes, including data preparation, feature engineering, model development, evaluation, deployment, monitoring, and continuous improvement.
• Apply machine learning, predictive analytics, and statistical methods to identify patterns, generate insights, automate processes, and improve business performance.
• Develop scalable data and ML pipelines for storing, extracting, transferring, loading, transforming, modeling, and serving data for production systems and machine learning applications.
• Design and implement large-scale data processing and modeling solutions using modern cloud, analytics, and open-source data science technologies.
• Implement AI/ML solutions across Microsoft Azure, AWS, Databricks, and other enterprise platforms as appropriate for the business need.
• Apply MLOps practices to operationalize models and AI products, including reproducible development, automated testing, versioning, deployment, monitoring, retraining, and governance.
• Lead cross-functional delivery of ML solutions and remain accountable for model development, validation, production deployment, performance monitoring, and lifecycle management.
• Own the translation of business objectives and diverse stakeholder requirements into robust, sustainable, measurable, and supportable AI/ML solutions.
• Design, build, and maintain reliable data pipelines and data models that support machine learning, advanced analytics, reporting, and business intelligence.
• Support batch and real-time data processing while applying sound data management, data quality, governance, and data storage practices.
• Optimize data pipelines, SQL queries, analytical code, model-serving workflows, and distributed computing solutions for performance, scalability, reliability, and cost efficiency.
• Prepare clear technical explanations, insights, and recommendations for both technical and non-technical audiences.
• Own the ongoing performance and improvement of engineering processes, platform capabilities, and operational practices to increase efficiency and reduce failures and operational risk.

Required Qualifications

• Legally authorized to work in the job posting country.
• Bachelor’s degree or higher in Computer Science, Engineering, Mathematics, Statistics, Physical Sciences, or a related field.
• Three or more years of relevant experience in data engineering, analytics, data science, software development, or machine learning, including the ability to work independently on complex problems.

Preferred Qualifications

• Experience with cloud-based analytics and ML environments, including Microsoft Azure, AWS, Databricks, or comparable platforms.
• Experience with advanced ML platform engineering practices such as experiment tracking, CI/CD, observability, or model platform engineering.
• Knowledge of large language models and generative AI, including tools or frameworks such as LangChain, LlamaIndex, Semantic Kernel, vector databases, and knowledge graphs.
• Experience with analytics and visualization tools such as Power BI or Databricks.
• Strong communication and collaboration skills, including the ability to explain technical concepts to diverse audiences and work effectively with non-technical partners.
• Experience implementing data quality and governance practices for structured and semi-structured data.
• Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, or comparable technologies.
• Proficiency in at least one modern programming language, such as Python, C#, Java, Scala, or R.
• Working knowledge of MLOps practices and the model lifecycle from development through production operation.

Compensation Range

This position has a base salary range of $ 125,100 – $152,900.

At Phillips 66, we are committed to pay transparency and competitive, equitable compensation. Each role is assigned a salary grade with a defined pay range, benchmarked against industry peers. Where a candidate offer falls within the posted range depends on the candidate's experience, skills, and alignment with the role’s requirements. Offers are made to ensure internal equity and market competitiveness. Our compensation programs are designed to reward performance and support career growth.

Total Rewards

At Phillips 66, providing access to high quality programs and care for you and your family is important to us. Maintaining a culture of well-being – physical, emotional, social, and financial – is essential for a high-performing organization. When we are at our best, we are poised to deliver exceptional results — personally and professionally. Benefits for certain eligible, full-time employees include:

• Annual Variable Cash Incentive Program (VCIP) bonus
• 8% 401k company match
• Medical, Dental, and Vision benefits with an annual company contribution to a Health Savings Account for employees on HDHP
• Total well-being programs and incentives, including Employee Assistance Plan, well-being reimbursement, and backup family care services

Phillips 66 has more than 140 years of experience in providing the energy that enables people to dream bigger and go farther, faster. We are committed to improving lives, and that is our promise to our employees and our communities. We are sustained by the backgrounds and experiences of our diverse teams, which reflect who we are, the environment we create and how we work together. We have been recognized by the Human Rights Campaign, U.S. Department of Labor and the Military Times for our continued commitment to inclusive practices and policies in the hiring and retention of those in the LGBTQ+ community and military veterans. Our company is built on values of safety, honor and commitment. We call our cultural mindset Our Energy in Action, which we define through four simple, intuitive behaviors: We work for the greater good, cultivate an environment of trust, seek different perspectives and pursueexcellence.

Learn more about Phillips 66 and how we are working to meet the world’s energy needs today and tomorrow, by visiting phillips66.com.

Phillips 66 is an Equal Opportunity Employer