🎁 Before you apply, rehearse this interview. Create your free WorkMundi account and get an Interview Training on HelpsYouSpeak — no cost, no card. I want my training →
JOB DESCRIPTION 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 skillsable 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 ABOUT US .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.