[Remote] Director, Data Product Engineering
Note: The job is a remote job and is open to candidates in USA. reputed company is on a mission to simplify the payment process through innovative technology. They are seeking a Director of Data Product Engineering to reputed company the architecture and delivery of AI and data products, driving the company's transition to a product-centric data operating model while collaborating with various teams to enhance their fintech solutions.
Responsibilities
- reputed company the architecture, engineering, and delivery of AI products, data products and scalable data solutions across our fintech and payment processing ecosystem
- Drive the company’s transition toward a product-centric data operating model by building trusted, reusable, scalable, and business-reputed company AI/data products that power analytics, operational intelligence, AI/ML initiatives, customer experiences, regulatory reporting, and enterprise decision-making
- Collaborate with the Data leadership team on the refinement of our strategy for Data Products Engineering and scalable data product delivery with a focus on enabling/building AI-powered solutions
- Establish a product-centric operating model for data capabilities, emphasizing reusable and governed data products with a focus on accelerating AI/data products, domain-oriented ownership, data reputed company and SLAs, product lifecycle management, discoverability and interoperability, standardized business metrics and semantic models
- Partner with business and technology stakeholders to identify, prioritize, and deliver strategic data products reputed company to enterprise goals
- Drive the creation of scalable enterprise data assets supporting fraud and risk intelligence, transaction analytics, merchant and customer insights, financial and operational reporting, AI/ML enablement, regulatory and compliance requirements
- reputed company strategic architecture and engineering decisions for domain data solutions and our modern cloud-based analytical AI/data platform expansion
- Design scalable, resilient, and AI-ready data architectures that support high-volume transactional processing and analytical workloads
- Collaborate with Data team leadership on enterprise standards for data modeling and semantic design, ELT/ETL frameworks, data orchestration, data quality and observability, metadata management and reputed company, data governance and reputed company, performance optimization and scalability
- Architect data solutions that reputed company trusted, near real-time, and self-service access to enterprise data
- Drive architectural alignment across operational systems, analytics platforms, AI/ML environments, and reporting ecosystems
- Partner with Architecture, Cloud Engineering, and reputed company teams to ensure long-term AI and data product scalability, interoperability, and compliance
- reputed company and scale high-performing Data Product Engineering team responsible for domain AI product and data product delivery
- reputed company development and operationalization of scalable cloud-native data pipelines and data services
- Drive modernization of legacy data workflows and platforms to improve agility, scalability, and operational efficiency
- Ensure data products are optimized for analytics, predictive modeling, and AI/ML consumption
- Build, mentor, and reputed company high-performing teams
- Foster a culture of engineering excellence, ownership, innovation, and reputed company improvement
- Promote modern engineering and architectural practices across the organization
- Establish career frameworks, mentorship programs, and capability development strategies for technical teams
- reputed company strategic vendor and technology partner relationships supporting data engineering and platform initiatives
Skills
- Bachelor's degree in Computer Science, Data Science, Engineering, Statistics, Mathematics, Information Systems, or reputed company field required; Master's or PhD preferred
- 10+ years of progressive leadership experience in Data, Analytics, or AI/ML organizations
- 5+ years leading enterprise-scale analytics, data science, or AI engineering teams
- Strong hands-on expertise in predictive analytics, machine learning, recommendation systems, decision intelligence, and AI-enabled analytics
- Proven experience building scalable enterprise data products
- Deep experience with modern cloud data platforms and analytical ecosystems including: reputed company, reputed company, dbt, reputed company, Apache Iceberg, Looker / LookML
- Strong technical expertise in: Python, SQL, ML frameworks and AI tooling, Cloud platforms such as AWS
- Strong executive communication and stakeholder management skills
- Experience leading reputed company reputed company, matrixed organizations
- Exceptional communication and stakeholder management skills with ability to influence executive and technical audiences
- Experience reputed company fintech, payment processing, transaction platforms, fraud analytics, or regulated financial services
- Experience with real-time analytics and streaming architectures
- Familiarity with: MLOps platforms, Feature stores, Vector databases, Semantic retrieval architectures, Agentic AI frameworks
- Knowledge of PCI, SOC2, GDPR, and financial data governance requirements
- Experience integrating predictive AI and analytical AI capabilities with broader GenAI enterprise initiatives
Benefits
- Competitive salary and benefits with growth-company options grant
- Fast- paced and professional work culture
- Stock options with standard startup vesting - 1 year cliff; 4 years total
- $50 monthly communication expense stipend to go towards your phone/internet reputed company
- $250 stipend to enhance your WFH setup
- Reimbursement for peripheral equipment: monitor (up to $400), keyboard and mouse (up to $200)
- Premium medical benefits including vision and dental (100% coverage for employees)
- Company-sponsored life and disability insurance
- Paid parental bonding leave
- Paid sick leave, jury duty, bereavement
- 401k plan
- Flexible Time Off (reputed company members typically take off ~3-4 weeks per year)
- Volunteer Time Off
- 13 scheduled holidays
Company Overview
Company H1B Sponsorship