Product/ Project Manager (Data + AI)

Qualifications

• Bachelor s degree in Computer Science, Finance, or related discipline
• 5+ years of experience in a similar role
• Strong understanding of fundamental and financial datasets, including company financials, market data, and research data
• Proven experience in data integration, particularly using APIs, data connectors, or ETL frameworks to enable AI or analytics use cases
• Familiarity with AI/ML data pipelines, model lifecycle, and related tooling
• Prior experience in financial services, investment banking, or research domains
• Excellent organizational and stakeholder management abilities with a track record of delivering data-driven products
• Deep understanding of Python, SQL, or similar scripting languages
• Knowledge of cloud data platforms (AWS, Google Cloud Platform, or Azure) and modern data architectures (data lakes, warehouses, streaming)
• Familiarity with AI/ML platforms
• Understanding of data governance, metadata management, and data security best practices in financial environments
• Experience with API standards (REST, GraphQL) and data integration frameworks
• Demonstrated ability to partner with engineering and data science teams to operationalize AI initiatives

Responsibilities

• Define and execute the product roadmap for AI tooling and data integration initiatives, driving products from concept to launch in a fast-paced, Agile environment
• Translate business needs and product strategy into detailed requirements and user stories
• Collaborate with engineering, data, and AI/ML teams to design and implement data connectors that enable seamless access to internal and external financial datasets
• Partner with data engineering teams to ensure reliable data ingestion, transformation, and availability for analytics and AI models
• Evaluate and work to onboard new data sources, ensuring accuracy, consistency, and completeness of fundamental and financial data
• Continuously assess opportunities to enhance data coverage, connectivity, and usability within AI and analytics platforms
• Monitor and analyze product performance post-launch to drive ongoing optimization and inform future investments

Full Description

Dice is the leading career destination for tech experts at every stage of their careers.

Our client, Kellton, is seeking the following.

Apply via Dice today!

Hi - My client is hiring Product/ Project Managers (Data + AI).

If interested, please apply to this job posting or can reach me at 347517O317

Duration: 12 months + Extensions

Alpharetta, GA ( Hybrid -3 days in office per week)

W2 or Self-Incorporated (No 3rd party employers)

Key Responsibilities

Define and execute the product roadmap for AI tooling and data integration initiatives, driving products from concept to launch in a fast-paced, Agile environment.

Translate business needs and product strategy into detailed requirements and user stories

Collaborate with engineering, data, and AI/ML teams to design and implement data connectors that enable seamless access to internal and external financial datasets.

Partner with data engineering teams to ensure reliable data ingestion, transformation, and availability for analytics and AI models.

Evaluate and work to onboard new data sources, ensuring accuracy, consistency, and completeness of fundamental and financial data.

Continuously assess opportunities to enhance data coverage, connectivity, and usability within AI and analytics platforms.

Monitor and analyze product performance post-launch to drive ongoing optimization and inform future investments.

Basic Qualification

Bachelor s degree in Computer Science, Finance, or related discipline. MBA/Master s Degree desired.

5+ years of experience in a similar role

Required Qualifications

Strong understanding of fundamental and financial datasets, including company financials, market data, and research data.

Proven experience in data integration, particularly using APIs, data connectors, or ETL frameworks to enable AI or analytics use cases.

Familiarity with AI/ML data pipelines, model lifecycle, and related tooling.

Prior experience in financial services, investment banking, or research domains.

Excellent organizational and stakeholder management abilities with a track record of delivering data-driven products.

Preferred Qualifications

Deep understanding of Python, SQL, or similar scripting languages

Knowledge of cloud data platforms (AWS, Google Cloud Platform, or Azure) and modern data architectures (data lakes, warehouses, streaming)

Familiarity with AI/ML platforms

Understanding of data governance, metadata management, and data security best practices in financial environments.

Experience with API standards (REST, GraphQL) and data integration frameworks.

Demonstrated ability to partner with engineering and data science teams to operationalize AI initiatives.

Thanks

Amita Tatiparti

Sr. Technology Recruiter and Business Developer

Lenmar Consulting, Inc. [a Kellton Tech Company]