Data Connectivity Lead
Listed on 2026-01-12
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IT/Tech
Data Engineer, Data Analyst, Data Science Manager
Job Title:
Data Connectivity Lead
Location:
Alpharetta, Georgia 30005 (3 days onsite) Duration: 12+ Months Contract with Extension Job – 173381
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.
- Facilitate alignment across stakeholders, including engineering, research, analytics, and business partners, ensuring clear communication and prioritization.
Qualification:
- Bachelor’s degree in Computer Science, Finance, or related discipline. MBA/Master’s Degree desired.
- 5 plus 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, 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, Graph
QL) and data integration frameworks. - Demonstrated ability to partner with engineering and data science teams to operationalize AI initiatives.
PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada.
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Pay Range: $65-70/hr.
The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work.
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