Data Integration Manager

Duration: 12 Months

Location:
Alpharetta, GA (3 days in office, 2 days remote)

• 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.
• Facilitate alignment across stakeholders, including engineering, research, analytics, and business partners, ensuring clear communication and prioritization.

• Bachelor’s degree in Computer Science, Finance, or related discipline. MBA/Master’s Degree desired.
• 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.
• Experience working with cross-functional teams in an Agile environment.
• Strong analytical, problem-solving, and communication skills with the ability to translate complex concepts into actionable insights.
• 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, GCP, or Clienture) 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, Graph
  
  QL) and data integration frameworks.
• Demonstrated ability to partner with engineering and data science teams to operationalize AI initiatives.

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US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.