Global Product Lead, Support Tools, Artificial Intelligence

Job highlights Identified by Google from the original job post Qualifications • Expertise in data engineering and ETL migration from legacy to modern platforms • Expertise in building machine learning platforms and data pipelines at scale • Strong experience rapidly deploying AI/ML solutions to production in a DevOps environment • Strong coding fluency in Python • Experience with Big Query, Claude Code, RAG, LLM's, ADK, Prompting is expected • Experience with large data sets and distributed computing (Spark) • Strong interpersonal and communication skills • Ability to articulate workflows and ability to describe the logic and implications of a complex model to non-technical audiences • Strong SQL and data analytical skills • Familiar with major machine learning algorithms • Solid experience managing diverse data sources, including preprocessing, cleansing, and verifying the integrity of data to develop data marts for data science use cases and machine learning applications • Strong interpersonal skills; ability to work independently as well as in a team and a highly matrixed environment • Experience in cloud computing platforms • 7+ year's work experience in data engineering, Artificial Intelligence or Machine Learning • 11 more items(s) Benefits • In District of Columbia, California, Colorado, Connecticut, Illinois, Maryland, Massachusetts, New York and Washington, the national base pay range for this job level is $72,000 to $141,000 annually • Salary determinations are based on various factors, including but not limited to, relevant work experience, skills, certifications and location • CNA offers a comprehensive and competitive benefits package to help our employees - and their family members - achieve their physical, financial, emotional and social wellbeing goals Responsibilities • An individual contributor role that provides a high level of leadership and expertise in building Artificial Intelligence and Machine Learning (AI & ML) solutions for financial services and insurance • The role will be responsible for developing data into usable information to create automated analytics solutions • Performs a combination of duties in accordance with departmental guidelines: • Lead solution design and build AI solutions to accelerate data migration from legacy to the cloud • Collaborates with engineers and driver the adoption of AI development tools such as Claude code • Productionizes and operationalizes AI solutions and advanced data analysis techniques • Designs and builds reusable pipelines to scale AI/ML solutions in a cloud environment • Delivers well-styled, well-tested, and maintainable code in BQ, Python • Cultivates innovation by proactively proposing new ideas to deliver business value more effectively • Identifies the right combination of tools and frameworks to turn a business problem into an analytics solution • Maintains professional and technical knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; participating in professional societies • Supports the evolution of CNA application development processes and standards • May perform additional duties as assigned • Typically, Director or above • 11 more items(s) More job highlights Job description You have a clear vision of where your career can go.

And we have the leadership to help you get there.

At CNA, we strive to create a culture in which people know they matter and are part of something important, ensuring the abilities of all employees are used to their fullest potential.

An individual contributor role that provides a high level of leadership and expertise in building Artificial In...telligence and Machine Learning (AI & ML) solutions for financial services and insurance.

The role will be responsible for developing data into usable information to create automated analytics solutions.

JOB DESCRIPTION:

Essential Duties and Responsibilities:

• Performs a combination of duties in accordance with departmental guidelines:

• Lead solution design and build AI solutions to accelerate data migration from legacy to the cloud.

• Collaborates with engineers and driver the adoption of AI development tools such as Claude code

• Productionizes and operationalizes AI solutions and advanced data analysis techniques.

• Designs and builds reusable pipelines to scale AI/ML solutions in a cloud environment.

• Delivers well-styled, well-tested, and maintainable code in BQ, Python.

• Cultivates innovation by proactively proposing new ideas to deliver business value more effectively.

• Identifies the right combination of tools and frameworks to turn a business problem into an analytics solution.

• Maintains professional and technical knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; participating in professional societies. Supports the evolution of CNA application development processes and standards.

• May perform additional duties as assigned.

Reporting Relationship

Typically, Director or above

Skills, Knowledge, and Abilities:

• Expertise in data engineering and ETL migration from legacy to modern platforms

• Expertise in building machine learning platforms and data pipelines at scale.

• Strong experience rapidly deploying AI/ML solutions to production in a DevOps environment.

• Strong coding fluency in Python.

Experience with Big Query, Claude Code, RAG, LLM's, ADK, Prompting is expected.

Experience with large data sets and distributed computing (Spark).

• Strong interpersonal and communication skills. Ability to articulate workflows and ability to describe the logic and implications of a complex model to non-technical audiences.

• Strong SQL and data analytical skills. Familiar with major machine learning algorithms.

• Solid experience managing diverse data sources, including preprocessing, cleansing, and verifying the integrity of data to develop data marts for data science use cases and machine learning applications.

• Strong interpersonal skills; ability to work independently as well as in a team and a highly matrixed environment.

• Experience in cloud computing platforms.

Google Cloud Platform preferred.

Education and Experience:

• Bachelor's Degree in Computer Science, Engineering, Mathematics, Computational Statistics, Data Science or related technical field or equivalent; Master's Degree preferred.

• 7+ year's work experience in data engineering, Artificial Intelligence or Machine Learning.

• Experience in machine learning, deep learning, information retrieval, natural language processing or data mining preferred.

• Applicable certifications preferred.

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In certain jurisdictions, CNA is legally required to include a reasonable estimate of the compensation for this role.

In District of Columbia, California, Colorado, Connecticut, Illinois, Maryland, Massachusetts, New York and Washington, the national base pay range for this job level is $72,000 to $141,000 annually.

Salary determinations are based on various factors, including but not limited to, relevant work experience, skills, certifications and location.

CNA offers a comprehensive and competitive benefits package to help our employees - and their family members - achieve their physical, financial, emotional and social wellbeing goals.

For a detailed look at CNA's benefits, please visit cnabenefits.com.

CNA is committed to providing reasonable accommodations to qualified individuals with disabilities in the recruitment process.

To request an accommodation, please contact leaveadministration@cna.com. Show full description Report this listing Loading...