Lead and manage Kyriba implementation workstreams, translating business requirements into scalable solution designs, overseeing configuration, UAT, integrations, and client delivery.
Responsibilities
Own one or more workstreams end‑to‑end on Kyriba projects
Translate business requirements into scalable solution designs
Lead enterprise-level solutions consulting for MoEngage’s platform across the MENA region, driving value selling, technical design, and stakeholder engagement.
Responsibilities
Own the end-to-end technical strategy for MoEngage's largest and most complex enterprise evaluations across the MENA region.
Identify and build a value case around what a prospect has not yet recognized in their own data, systems, or customer journeys.
Lead discovery and solution design for prospects with complicated environments: legacy core systems, multiple regional entities, and strict compliance requirements.
Walk enterprise stakeholders from that value case into the specific technical mechanics that deliver it, showing exactly how MoEngage's core capabilities and AI decisioning engine work.
Design and lead technical validations, proof of concepts, and security or compliance reviews, including topics like data residency, and infrastructure architecture.
Partner with Account Executives through the full sales cycle: discovery, solutioning, demos, proof of concepts, RFP responses, and handoff to the implementation team
Run structured discovery conversations that uncover the business value a prospect has not yet articulated for themselves, in their data, workflows, or current tech stack, and build that into a clear value case
Design and deliver product demonstrations that walk a prospect from that value case straight into the platform mechanics that deliver it, showing exactly how MoEngage's core capabilities and AI decisioning engine get them there
Lead technical validations and proof of concepts that prove out the value case with the prospect's own data, working with engineering and solutions architecture where needed
Write clear, accurate responses to RFPs and RFIs, including technical architecture and integration questions
We’re looking for an experienced EDI and integration professional who thrives on solving complex technical challenges and improving how support teams operate.
Compensation
Compensation Range: $70,000 to $80,000 annual salary
Responsibilities
Lead Critical Incident Response
Drive Advanced Troubleshooting and Root Cause Analysis
Provide Technical Oversight and Delivery Assurance
Lead on-premises and real-time FHIR and HL7 integrations on the Data Platform product team, focusing on building and scaling critical infrastructure for secure data exchange.
Locations (4)
Chicago, Illinois, United States
New York City, New York, United States
California, United States
Colorado, United States
Compensation
US Range: $110,000-$160,000. The expected salary range above is applicable if the role is performed from California and may vary for other locations (Colorado, Illinois, New York).
Responsibilities
Define and own the product strategy for the Tempus Data Platform, focusing on secure, scalable, and interoperable data exchange via Edge product offerings.
Data Channel Manager (DataBricks, Snowflake, API)
Mobility Global, Inc. (formerly S&P Global Mobility / R.L. Polk & Co.) · Posted Sep 11, 2026
Oversee and support the operation of data delivery channels, manage client onboarding and support, coordinate Snowflake migration and API data delivery workstreams, and provide post-migration support.
Responsibilities
Oversee and support the ongoing operation of data delivery channels, including API, SFTP, Snowflake, AWS S3 and Databricks, ensuring reliable data delivery.
Manage client onboarding, training and ongoing support across data delivery channels, working with internal teams to address client needs and resolve service issues.
Coordinate the Snowflake migration project including scope definition, dependency and timeline management, and release planning.
Support the Snowflake migration from a business and data perspective, including source integration, schema design, data transformation and validation, and parallel testing.
Provide post-migration support for the Snowflake service, including service monitoring, quality assurance, issue resolution and ongoing client needs.
Requirements
Bachelor's degree in Computer Science, Information Technology
Senior Unix/Linux Engineer responsible for installing, upgrading, migrating servers, managing automation, and ensuring reliability of enterprise environments across on‑premises and Azure Cloud.
Locations (2)
Philippines
Indonesia
Compensation
Salary Range Philippines: $2,300-$2,900 (USD) per month + vacation
Salary Range Indonesia: $1,500-$2,300 (USD) per mont + vacation + benefits
Responsibilities
Design, develop, and maintain automation workflows using Ansible
Manage and optimize Linux-based systems
Install, upgrade, and migrate servers on Linux, Unix, and AIX platforms
Develop Ansible playbooks, roles, and modules
Integrate Ansible automation with CI/CD pipelines
Requirements
Bachelor’s degree in Computer Science, Engineering, or a related field
Supporting and administering transfer agent system functions, with an emphasis on specific output or services for retail alternatives industry.
Responsibilities
Documents Broker Dealer and Third-Party Financial Technology (FinTech) requirements and maintains a recordkeeping system to meet client and firm needs.
Monitors and documents technology needs for each firm, custodian, or FinTech relationships.
Ensures all are working correctly and enhances their support technology if needed.
Keeps cross references and control procedures around each firm and FinTech’s unique requirements.
Escalates file failures or remediation needed on issues between Ultimus and the firms and FinTechs.
Requirements
Bachelor’s degree in business administration, information technology, or related field
Enhance the efficiency and reliability of data ingestion, processing, and delivery workflows for internal and external stakeholders, including DICOM, HL7, FHIR, and various data modalities.
Champion user empathy for integrators, data engineers, and clinical operations teams, ensuring integration workflows are efficient, consistent, and scalable across diverse deployment topologies.
Explore and prioritize opportunities to leverage generative AI for streamlining integration setup, data mapping, anomaly detection, and troubleshooting.
Define and track KPIs to measure the performance, reliability, and adoption of Edge products, focusing on data throughput, latency, and successful data product creation.
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