Technical Lead-IBM Planning Analytics; TM
Listed on 2026-07-01
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IT/Tech
Data Engineering, Data Analyst
IBM Planning Analytics
Must Have Technical/Functional Skills
8+ years of experience in IBM Planning Analytics (TM1) development, including 2+ years supporting financial systems.
3+ years monitoring and maintaining IBM Planning Analytics Cloud infrastructure.
Roles & Responsibilities
Solution Architecture & Design:
Architect, develop, optimize, and deploy complex end-to-end IBM Planning Analytics (TM1) solutions – from proof-of-concepts to scalable production – ensuring system stability; conduct technical design sessions; stay current on Planning Analytics advances.
Technical Development & Modeling:
Engineer and maintain robust models (cubes, dimensions, rules, TI, python): proactively identify and resolve technical challenges and performance bottlenecks; deliver solutions on time.
Automation &
Innovation: Design and deliver TM1
Py/TI automations that materially reduce manual effort and improve data integration and reporting efficiency.
Reporting & Visualization:
Design and optimize PAW dashboards and reports; ensure usability and decision-readiness for business stakeholders.
Business
Collaboration:
Lead requirements discovery with cross-functional teams; translate complex needs into scalable technical solutions and recommend system enhancements.
System Integration:
Build and manage successful integrations between IBM Planning Analytics and enterprise systems/data sources ensuring seamless data flow and process alignment.
Data Quality, Security & Governance:
Uphold high standards for data quality, integrity and security; create and maintain technical documentation; lead code and documentation reviews; meet compliance and regulatory requirements.
Cloud Infrastructure:
Optimize the IBM Planning Analytics Cloud environment; support licensing and resolve performance issues.
User Enablement:
Create comprehensive training materials and documentation; provide ongoing user support, including bug and enhancements requests and training needs.
Collaboration:
Provide technical guidance and mentorship; promote best practices and knowledge sharing across the team
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