Own and evolve the architecture of enterprise analytics and data platforms.
Define target architectures, transformation roadmaps, and drive modernization initiatives.
Support adoption of strategic platforms like SAP Business Data Cloud and AI-enabled data capabilities.
Deutsche Telekom IT Solutions is a subsidiary of the Deutsche Telekom Group providing IT and telecommunications services. With over 5300 employees, it is recognized as Hungary's most attractive employer and received awards for educational cooperation and ethical practices.
Lead the development and maturation of a large-scale healthcare data governance program, providing strategic direction across policy, privacy, and analytics.
Develop governance frameworks, policies, and standards while aligning diverse stakeholders around responsible data use in complex healthcare environments.
Engage with clinical, technical, and government leaders to drive system-level transformation and improve data quality, accountability, and privacy.
Jobgether is a platform that uses AI-powered matching to connect candidates with job opportunities. It processes applications and shares shortlists with hiring companies, ensuring efficiency and privacy compliance.
Design, develop, and maintain enterprise data integration solutions using Talend and related tools.
Build scalable ETL/ELT pipelines and support production environments with strong SQL and API integration.
Collaborate with cross-functional teams and apply AI-assisted tools to enhance data quality, governance, and compliance.
The hiring partner is an organization focused on enterprise data integration and modernization initiatives, often serving regulated sectors. They offer a remote, collaborative environment with a distributed technical team and exposure to AI-assisted development tools.
Develop and implement enterprise Data and AI Governance frameworks, policies, and standards.
Establish risk-based governance processes for AI use cases across their lifecycle.
Partner with cross-functional teams to embed governance into development and change management.
Mercury is a fintech company that provides banking services through partnerships with FDIC-insured banks. It is an Equal Employment Opportunity employer that values diversity and belonging.
Lead the development and operation of a scalable data governance and data security program across a modern data environment.
Establish practical standards for data classification, ownership, access, quality, and protection, working closely with Data Engineering, Security, Privacy, and Legal.
Shape responsible adoption of emerging analytics, AI, and agentic technologies while ensuring compliance with GDPR, CCPA, and other regulatory frameworks.
The company operates in the fintech or regulated financial services space, managing sensitive cross-border data across multiple regions. It is a growing, remote-first organization focused on security and compliance, with a culture that values data trust and operational maturity.
Build and maintain data governance policies, classification standards, ownership model, and exception process.
Own data access governance for the lakehouse and analytics stack, including entitlement standards and periodic access reviews.
Support sensitive and cross-border data requests, including PII handling and regional data flows.
Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, and more. We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world.
Drive the strategic direction of the Data & Analytics organization, developing and scaling internal capabilities in data engineering, analytics, and governance.
Partner with senior leadership to translate vision into staffing plans, delivery roadmaps, and quarterly priorities.
Build and manage a high-performing team, establish data governance standards, and drive adoption of AI-assisted tooling to accelerate delivery.
RPM Living is a property management company that focuses on delivering exceptional customer experiences through technology innovation. They have a large, growing team and value data-driven decision-making, offering comprehensive benefits and professional development opportunities.
Lead and scale a team of data and analytics engineers, setting technical standards and fostering a culture of engineering rigor.
Own the end-to-end data platform architecture, including ingestion, warehouse modeling, governance, and security.
Act as product manager for data infrastructure, enabling self-serve analytics across all internal stakeholders.
Cherry is a fast-growing FinTech that offers the simplest BNPL solution for medical practices. Led by Stanford entrepreneurs and backed by top investors, the company is building a culture of data-driven decision-making.
Design and maintain enterprise-wide data architecture strategies across Oracle ERP, SCM, and CX applications.
Lead large-scale data migration and conversion initiatives for Oracle Cloud implementations.
Architect integrations between Oracle ERP, SCM, CX, HCM, and third-party applications using OIC, APIs, and ETL.
Apex IT is a global consulting firm providing award-winning services to transform customer, employee, and student experiences. Since 1997, their Salesforce and Oracle experts have delivered enterprise solutions, and as a remote company with talent in the US and India, they offer flexible work-life balance.