Ampstek · 7 hours ago
Product Manager – AI & Data Platforms, Financial Services
New York, NY
Full-time
Onsite
Senior Level
6+ years expAmpstek is seeking a Strategic Product Manager to lead the design, deployment, and optimization of AI-driven data platforms and decision intelligence products within the financial services and asset management sectors. The role involves managing AI model lifecycles, defining product requirements for data ingestion, and collaborating with cross-functional teams to enhance data-driven decision-making.
IT Management
Responsibilities
AI & Data Platform Development: Lead the end-to-end deployment of LLM and analytics platforms to improve data-driven decision-making across trading, risk, and portfolio management functions
Machine Learning Operations (MLOps): Manage AI model lifecycles, including fine-tuning, evaluation, and performance optimization, ensuring scalability and accuracy for real-world financial datasets
Data Strategy & Governance: Define product requirements for data ingestion, annotation, and transformation pipelines supporting analytics, forecasting, and compliance functions
AI-Powered Research Tools: Develop and manage conversation-style AI tools that enhance analyst and portfolio manager productivity through natural language interfaces for data exploration and reporting
Cross-Functional Leadership: Collaborate with engineering, quant, and business stakeholders to translate investment research goals into actionable AI features and insights
Efficiency & Tooling Innovation: Design internal productivity tooling to improve data operations throughput, reduce time-to-insight, and support consistent data quality and compliance across products
Strategic Growth: Oversee partnerships and vendor integrations with AI/ML providers to extend product capabilities across asset classes and global markets
Qualification
Required
6-10 years of experience in product management, data platforms, or AI/ML applications within financial services, fintech, or analytics environments
Strong understanding of machine learning, data science, and model fine-tuning workflows
Proven ability to manage complex data ecosystems across multiple internal and external stakeholders
Technical proficiency in Python, PySpark, SQL, Git, HTML, and CSS
Experience leading initiatives that connect AI solutions to measurable business outcomes in asset management, trading, or risk analytics
Bachelor's degree in Engineering, Physics, or related technical field; advanced degree preferred
Preferred
Analytical mindset with strong quantitative and technical grounding
Ability to translate abstract investment or business objectives into practical AI-driven solutions
Exceptional communication and stakeholder management skills
Entrepreneurial problem solver with a passion for data transformation and intelligent automation
Company
Ampstek
Ampstek supplies thousands of tech and digital professionals annually to a range of clients through its offices which spread across in 42 countries.
1001-5000 employees
Funding
Current Stage
Late StageLeadership Team
Rekha Pathy
CEO
Company data provided by crunchbase