Sr Lead Software Engineer

Hackajob; Hyderabad, Bengaluru, Mumbai; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Hackajob in Hyderabad, India seeks a senior IBM Planning Analytics/TM1 expert to lead end-to-end delivery on AWS. The role includes architecting TM1 models, PAW/PAfE artifacts, and TM1 ETL processes while guiding a team of developers.

The ideal candidate has 15+ years of TM1 experience, strong design and security skills, and a track record of implementing planning use cases with data-integrated solutions. Agile/waterfall leadership is valued, along with governance and AI-driven development

Qualifications

• 15+ years delivering IBM Planning Analytics/TM1 solutions with hands-on model build experience.
• Strong TM1 technical skills: cube design, rules/feeders, TI, performance tuning, and security.
• Experience implementing planning use cases (Budget, Forecast, Workforce planning, CapEx, Revenue).
• Proven ability to lead delivery in agile or waterfall environments; strong stakeholder management.
• Experience with data integration patterns (batch/near-real-time), data quality controls, reconciliation.
• Experience leading use of enterprise-approved AI-assisted software development tools.

Responsibilities

• Lead end-to-end delivery of IBM Planning Analytics/TM1 solutions on AWS.
• Architect and maintain TM1 models for performance and scalability.
• Develop and maintain PAW and PAfE artifacts: dashboards, books, views, forms, reports.
• Build and manage TM1 processes/ETL (TI) and integrations with upstream/downstream systems.
• Establish governance for planning applications: security, auditability, SDLC controls.
• Manage production support: monitoring, incident triage, root cause analysis, release planning.
• Lead and mentor a team of TM1 developers/analysts; set direction and conduct code reviews.
• Drive adoption of AI-assisted engineering practices to improve quality and speed.
• Apply SDLC toolchain knowledge 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 resiliency expectations.

Skills

TM1 development

Cube design

TurboIntegrator (TI)

Data integration

Stakeholder management

Agile/waterfall leadership

AI-assisted dev practices

PAW/PAfE familiarity

Tools

Python

CI/CD

PAW/PAfE tooling

Job description

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