Top Tech Jobs & Startup Jobs

Leads digital platform product development within a global banking technology organization. Builds products and services, translates user and business pain points into prioritized requirements, contributes to product roadmaps, and partners with engineering on feature tradeoffs and releases. Monitors acceptance criteria, platform performance, adoption, operational health, and risks. Uses data, usability studies, metrics, and competitive analysis to optimize products while ensuring regulatory compliance and effective stakeholder communication.

The Data Governance Analyst investigates data quality failures, writes SQL validation queries, extracts and analyzes data, and develops governance metrics. The role partners with business and technology teams to implement data policies, risk controls, taxonomies, and governance frameworks. Responsibilities include tracking data issues, coordinating enterprise strategy rollouts, synthesizing performance metrics, and recommending improved policies and processes. The position requires strong SQL, Python or SAS proficiency, stakeholder communication, and data governance experience.

Execute pricing changes and develop product/pricing requirements. Lead cross-functional teams on pricing-related technology projects, document product/pricing changes and launches, develop reporting for pricing insights, and ensure compliance and risk-aware decision making.

Lead management of pricing exception processes and pricing controls for consumer and small business deposit products. Develop control reporting, support pricing strategy launches, analyze product/pricing roadmaps and competitive landscape, execute day-to-day pricing, and ensure regulatory and policy compliance while driving deposit growth and revenue.

Leads product strategy execution, value proposition development, product enhancements, roadmaps, launches, pricing and packaging decisions. Partners with customer segment strategy, product management, and technology teams to prioritize features and deliver strategic initiatives. Manages product delivery, client experience, risk, compliance, deadlines, and execution obstacles while supporting business results.

Coordinates technology delivery for fraud technology programs across engineering, product, platform, risk, and compliance teams. Tracks milestones, dependencies, risks, releases, and program health; supports architecture alignment, systems integration, governance, audit readiness, and operational readiness. Uses generative AI and automation to improve reporting, documentation, meeting follow-up, and delivery processes. Communicates status and issues to stakeholders and leadership while ensuring adherence to SDLC, data governance, architecture, and regulatory requirements.

Lead Citi's US Consumer Cards technology strategy and modernization program. Define multi-year roadmaps for legacy credit card platforms, transition architectures, integration blueprints, governance milestones, and success metrics. Build economic models covering total cost of ownership, infrastructure optimization, and engineering productivity. Translate technical and financial analysis into executive presentations, establish benefit-realization scorecards, and advise senior stakeholders on modern payments architecture and cloud-native transformation.

Leads a team of up to 12 developers while designing and delivering enterprise full-stack applications using .NET, Angular, microservices, REST APIs, and relational and NoSQL databases. Translates business requirements into technical solutions, manages delivery timelines and compliance artifacts, supports UAT, and promotes CI/CD and DevOps practices. The role also includes stakeholder collaboration, technical estimation, code promotion, repository governance, performance optimization, and mentoring in a regulated financial technology environment.

Develop and maintain scalable data pipelines and lakehouse platforms using PySpark, Databricks, Spark SQL, Delta Lake, Snowflake, and cloud services. Optimize workloads, support data federation, governance, security, quality, lineage, and analytics data modeling. Collaborate with data science and machine learning teams on AI and RAG use cases, gather requirements, troubleshoot pipelines, and participate in Agile delivery.

Leads enterprise application development and systems analysis, designing scalable backend services, REST APIs, microservices, integrations, and high-volume transaction systems. Establishes coding, testing, security, and implementation standards; resolves complex production and performance issues; supports cloud and container platforms, CI/CD, databases, and distributed architectures. Partners with architecture, infrastructure, data, and UI teams, assesses risk and compliance, and mentors developers and analysts.