JPMorganChase
Sr Lead Software Engineer - IBM Planning Analytics/TM1 Solutions & Databricks
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Lead design, build, deployment, and support of IBM Planning Analytics/TM1 solutions on AWS. Architect TM1 models, develop PAW/PAfE artifacts, manage TI processes and integrations, establish governance and SDLC controls, lead a TM1 team, drive AI-assisted engineering adoption, and partner with business stakeholders to optimize planning processes and ensure compliance and resiliency.
Join a dynamic team driving innovation in financial planning and analytics. Advance your career by leading impactful technology solutions.
Job summary
As a Planning Analytics Lead at JPMorgan Chase within the Planning & Analysis team, you will deliver end-to-end IBM Planning Analytics/TM1 solutions that support critical business functions. You will architect, build, and maintain models and processes, ensuring performance and scalability. You will foster a collaborative team environment, drive adoption of advanced engineering practices, and partner with business stakeholders to optimize planning processes.
Job responsibilities
- Lead end-to-end delivery of IBM Planning Analytics/TM1 solutions (requirements, design, build, test, deployment) on AWS
- Architect and maintain TM1 models (dimensions, hierarchies, cubes, rules, feeders) for performance and scalability
- Develop and maintain Planning Analytics Workspace (PAW) and Perspectives/Architect artifacts: dashboards, books, views, forms, and reports
- Build and manage TM1 processes/ETL (TI processes) and integrations with upstream/downstream systems
- Establish governance for planning applications: security model, roles, auditability, change management, SDLC controls, documentation standards
- Manage production support: monitoring, incident triage, root cause analysis, release planning, and continuous improvement
- Lead and mentor a team of TM1 developers/analysts; set technical direction, conduct code reviews, and develop team capability
- Drive adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes
- Apply knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities
- Partner with business owners to define planning processes and drive adoption, training, and communications
- Ensure compliance with technology risk, data controls, and operational resiliency expectations
Required qualifications, capabilities and skills
- 15+ years of experience delivering IBM Planning Analytics/TM1 solutions, with hands-on model build experience
- Strong TM1 technical skills: cube design, rules/feeders, TurboIntegrator (TI), performance tuning, and security
- Experience implementing planning use cases (Budget, Forecast, Workforce planning, CapEx, Revenue, Allocations, scenario modeling)
- Proven ability to lead delivery in agile and/or waterfall environments; strong stakeholder management
- Experience with data integration patterns (batch/near-real-time), data quality controls, and reconciliation practices
- Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations
- Excellent communication skills—able to explain technical tradeoffs to non-technical audiences
Preferred qualifications, capabilities and skills
- Experience with Planning Analytics Workspace (PAW), Planning Analytics for Excel (PAfE), and/or Cognos Analytics integration
- Exposure to IBM Cloud for Data / Planning Analytics on Cloud / containerized deployments
- Strong python skills & Familiarity with CI/CD for analytics applications, automated testing, and release orchestration
- Prior people management experience (hiring, performance management, coaching)
- Finance domain experience (FP&A, close/GL, management reporting) strongly preferred
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