Jobs at CIM Group

Supports Global Consultant Relations by building institutional investor relationships, assisting fundraising initiatives, coordinating roadshows and client events, managing Salesforce pipeline data, researching investors with industry data tools, preparing presentations and reports, and coordinating information requests with investment and reporting teams.

Owns production reliability, administration, FinOps, CI/CD, infrastructure-as-code, observability, and security partnerships for CIM’s Azure Databricks data platform. Leads incident response, job recovery, monitoring, cost optimization, GitHub Actions and Terraform deployments, workspace administration, and environment promotion. Partners with Infrastructure, Data Engineering, Finance, and business stakeholders to drive platform decisions and operational outcomes across a matrixed organization, particularly during quarter-end and investor-reporting cycles.

The Senior Analyst manages enterprise HR programs focused on community impact, diversity and inclusion, and employee engagement. Responsibilities include project planning, program coordination, event logistics, vendor and budget administration, reporting, dashboard creation, data analysis, and stakeholder collaboration. The role develops scalable processes, evaluates program effectiveness, and supports initiatives across HR, communications, employee groups, leaders, nonprofits, and external vendors.

The Senior Data Scientist develops and operationalizes predictive models and AI algorithms across investment platforms. Responsibilities include data analysis, feature engineering, model experimentation, deployment with MLflow and Docker, CI/CD automation, monitoring for drift and performance, data pipeline and lake design, governance, security, compliance, and stakeholder collaboration. The role requires translating technical findings into strategic recommendations and managing the full machine-learning lifecycle.

Leads the organization’s digital marketing strategy, marketing technology roadmap, analytics, AI adoption, lead generation, funnel optimization, and performance measurement. Partners with Sales, IT, and senior leadership to improve marketing ROI, fundraising outcomes, data integration, and customer engagement. Oversees team development, establishes KPIs and dashboards, evaluates platforms, and builds business cases for marketing investments in a complex B2B environment.

Owns the strategy, governance, and operational success of business-critical platforms supporting debt investment and servicing operations. Partners with stakeholders and technology teams to translate business needs into requirements, roadmaps, workflows, reporting, and data solutions. Leads technology and process improvements, coordinates vendors and cross-functional teams, and establishes documentation, governance, controls, and operating procedures to ensure reliable platforms, accurate analytics, compliance, and strong stakeholder satisfaction.

Coordinates development financial services, including contract and vendor setup, accounts payable, invoice and pay application processing, insurance documentation, lien waiver and preliminary notice tracking, and payment approvals. Works with Development, Accounting, Legal, Risk, vendors, and project teams to resolve discrepancies, support job-cost accounting, and address billing and administrative concerns throughout pre-development and construction.

The Director of Business Operations manages operational resilience, third-party risk, incident response, and business continuity, while leading improvement initiatives and oversight of related programs.

Manage pre-development and entitlement processes for self-storage projects, coordinate with agencies and vendors, secure permits, and oversee project budgets.

Lead design and governance of enterprise data models across Databricks Lakehouse, Snowflake, and MongoDB. Partner with business and engineering teams to translate requirements into high-performance dimensional and relational models, establish medallion architecture and modeling standards, optimize performance, and enable analytics, ML/GenAI, and reporting use cases.