Data Management Specialist

Data Connectivity Lead / Data Management Specialist / Financial Data Integration Lead

Location:

Alpharetta, Georgia 30005, Hybrid: 3 days in office per week

Employment Type:

Contract

We are seeking a highly skilled Data Connectivity Lead to drive AI tooling and data integration initiatives within our dynamic, fast-paced team. This role offers a unique opportunity to lead the design, development, and optimization of data connectors and integration solutions, empowering our AI and analytics platforms. As a key contributor to our product roadmap, you will collaborate with cross‑functional teams to ensure seamless data access, enhance product performance, and ultimately accelerate our data-driven initiatives.

• Define and execute the product roadmap for AI tooling and data integration initiatives, driving products from concept to launch in an Agile environment.
• Translate business needs and product strategy into actionable requirements and detailed user stories.
• Collaborate with engineering, data, and AI/ML teams to design and implement data connectors that enable seamless access to both 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 onboard new data sources, ensuring their accuracy, consistency, and completeness.
• Continuously assess opportunities to enhance data coverage, connectivity, and usability within AI and analytics platforms.
• Monitor 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 preferred.
• 5+ years of experience in a similar role or domain.
• 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 in an Agile environment and collaborating with cross‑functional teams.
• Strong analytical, problem‑solving, and communication skills.
• 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.

• Proficiency in Python, SQL, or similar scripting languages.
• Knowledge of cloud data platforms (AWS, GCP, 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, Graph
  
  QL) and data integration frameworks.
• Demonstrated ability to partner with engineering and data science teams to operationalize AI initiatives.

• Opportunity to work with cutting‑edge AI and data analytics tools.
• Be part of a collaborative and innovative environment with a passionate team of professionals.
• Competitive salary and benefits, with flexible work options.
• Professional growth and development in the AI, financial, and data integration fields.

If you're an experienced leader with a passion for data connectivity, AI/ML, and financial datasets, we’d love