Jobs at Rimes Technologies

Monitor daily enterprise data service flows, identify and resolve data exceptions, investigate client and internal queries, and track incidents within SLA and KPI requirements. Maintain operational reports, perform system checks, document findings, conduct basic peer reviews, and coordinate escalations with internal teams. The role requires accurate, process-driven work, adherence to operational controls, and collaboration across global teams on an APAC schedule.

Leads requirements discovery, stakeholder alignment, data analysis, workstream planning, governance, testing coordination, and cutover readiness for complex data transformation programs. Coordinates teams across data management, engineering, operations, testing, and client stakeholders while maintaining requirements traceability, RAID and RAG reporting, dependency management, data validation, and delivery quality.

Build and lead Rimes’ global Sales Engineering organization across North America, EMEA, and APJ. Define its operating model, methodology, playbooks, structure, and leadership bench while remaining hands-on in strategic technical sales engagements. Lead discovery, architecture, demonstrations, proofs of concept, executive discussions, and platform adoption initiatives involving modern cloud data platforms and AI. Partner across Sales, Product, Engineering, Marketing, Customer Success, and Operations to drive pipeline progression, consumption growth, revenue, and client value.

Lead infrastructure and cloud projects across Microsoft Azure, on-premise, and VMware environments. Make architectural decisions, build scalable and secure platforms, optimize enterprise infrastructure, lead complex incident response, and perform root cause analysis. Collaborate with development and data teams, support SQL and Azure data platforms, manage Infrastructure as Code, and track delivery through Jira and Tempo. The role also contributes to automation, AI-assisted operations, and hybrid infrastructure modernization.

Own client-facing implementation projects from mobilization through production deployment. Responsibilities include project planning, governance, scope and change control, risk and issue management, stakeholder communication, delivery coordination, UAT, deployment readiness, and transition to steady-state operations. The role coordinates cross-functional teams, maintains project documentation and status reporting, manages client expectations, and applies AI-enabled tools to improve project management efficiency.

Manage and grow assigned financial-data client accounts, oversee data feed workloads, advise on feed requirements, run service reviews, act as escalation point for second-line feed management, and maintain strong client relationships while collaborating with internal teams.

Analyze and resolve complex financial data issues across asset classes. Maintain Rimes products and services, support data quality and infrastructure efficiency, answer client data questions, coordinate with data suppliers on methodologies and anomalies, and uphold data accuracy. The role requires strong problem-solving, communication, organization, initiative, and attention to detail, with useful experience in financial markets, Python or Perl, SQL, and Databricks.

Build and operationalize value-based selling capabilities for enterprise financial-data solutions. Develop ROI, TCO, and business-case models; conduct customer research; translate platform capabilities into quantified business outcomes; coach Sales and Sales Engineering teams; facilitate executive workshops; support strategic deals, renewals, and expansions; and measure realized customer value. The role influences cross-functional stakeholders across Sales, Product, Marketing, Finance, Account Management, and Customer Success without direct reports or quota ownership.

Leads complex, client-facing implementation projects from planning through deployment and operational transition. Owns project scope, budgets, timelines, risks, dependencies, governance, change control, testing, and client sign-off. Manages cross-functional teams, senior stakeholders, executive communications, and commercial considerations. Mentors project managers, improves delivery methodologies, and supports pre-sales and solution design activities across technology, SaaS, financial services, or data management environments.

Manage accounting operations for APAC subsidiaries, including local books and records, statutory and management reporting, reconciliations, banking, payments, sales tax compliance, and financial administration. The role supports audits, tax filings, ERP implementation, process improvements, and cross-functional projects while maintaining compliance across Singapore, the Philippines, and Australia.

Sell Rimes' enterprise investment data SaaS: prospect and qualify new logos, expand accounts, coordinate enterprise deal execution, prepare client materials, maintain CRM hygiene, and report pipeline and forecasts.

Prospect and qualify new-logo opportunities, grow and support existing accounts, coordinate enterprise deal execution, create client-facing materials, and maintain CRM hygiene and sales reporting to meet quota.

The Enterprise Sales Engineer partners with sales to lead the technical sales process, engage with clients, design solutions, and deliver compelling product demonstrations, focusing on investment data management and analytics.

Senior pre-sales role owning end-to-end technical sales for enterprise investment data managed services and analytics. Lead discovery, design enterprise data architectures, deliver tailored demos and proof-of-concepts, shape RFP/RFI narratives, and ensure smooth handover to delivery while advising C-suite and investment data stakeholders across Asia‑Pacific.

Support EDM change and onboarding delivery for clients: follow change governance, complete impact assessments, maintain runbooks, triage low-to-mid complexity changes, assist RCAs and client communications, and develop technical skills (including Python and Rimes tools) while transitioning changes into BAU operations.

Inspect and profile new financial datasets, build and test conceptual/logical/physical data models, document field definitions and relationships, collaborate with Data Engineering to produce ETL/ELT-ready schemas, and maintain model alignment and data quality.

Design, build and operate scalable Databricks/PySpark data pipelines to ingest, transform and validate financial vendor data into production-ready datasets, partnering with product and client teams to meet quality and timeline requirements.