Job Description Summary

Job Description

Key Responsibilities

1. Product Engineering Strategy & Planning Modules

• Own the design and delivery of CERius Strategy & Planning features including:

  • Decarbonization planning & scenario modeling

  • Target setting and tracking (net-zero pathways)

  • Forecasting and simulation of emissions & cost impacts

• Build intuitive UX for what-if analysis scenario comparison and decision support dashboards

2. Platform & Extensibility Engineering

• Develop reusable platform capabilities for:

  • Configuration-driven workflows (planning templates rule engines)

  • Multi-tenant customization (customer-specific planning models)

  • Integration frameworks (ERP sustainability tools external datasets)

• Drive platform modularity to support rapid feature extensions and partner ecosystem

3. Customer Implementation Strategy & Delivery

• Define and standardize implementation playbooks for CERius deployments:

  • Data onboarding strategies

  • Configuration of planning models

  • KPI and reporting setup

• Lead technical engagement during customer onboarding and rollout phases

• Enable repeatable low-effort implementations through tooling automation and templates

• Collaborate with consulting/field teams to ensure successful adoption

4. Engineering Leadership & Team Management

• Lead and mentor a team across:

  • Frontend (planning UX dashboards)

  • Backend (scenario engines APIs)

  • Analytics (forecasting models simulations)

  • Infrastructure (cloud DevOps environments)

• Build a culture of ownership innovation and customer-centricity

• Drive hiring capability building and succession planning

5. Architecture & Technical Strategy

• Define architecture for:

  • Scenario modeling engines (high compute scalable)

  • Data pipelines for forecasting and planning inputs

  • Real-time vs batch simulation trade-offs

• Ensure systems are:

  • Scalable for enterprise use

  • Flexible for evolving sustainability regulations

  • Performant for complex simulations

6. Data Analytics & Decision Intelligence

• Oversee development of:

  • Forecasting and predictive models (emissions cost ROI)

  • Scenario comparison frameworks

  • Decision-support analytics

• Ensure traceability and explainability of planning outputs

7. Platform Reliability & DevOps

• Own environment strategy for:

  • Customer implementations (dev/test/prod isolation)

  • Demo and sandbox environments

• Implement strong DevOps practices:

  • CI/CD pipelines

  • Infrastructure as Code (IaC)

  • Monitoring and alerting

• Ensure high availability and performance for planning workloads

8. Governance & Process Excellence

• Establish structured processes for:

  • Feature releases and versioning (especially for customer-specific configs)

  • Implementation lifecycle management

• Drive Agile best practices with focus on predictability and adaptability

Key Competencies

Technical Expertise

• Strong background in:

  • Full-stack engineering and distributed systems

  • Cloud-native architecture (AWS/Azure/GCP)

  • Data and analytics platforms

• Experience with:

  • Simulation engines / planning systems (preferred)

  • Config-driven or low-code platforms (plus)

Leadership & Execution

• Proven ability to manage cross-functional engineering implementation teams

• Strong execution discipline with ability to handle both product and customer delivery pressures

• Ability to operate in ambiguity and evolving product landscapes

Customer & Domain Orientation

• Experience working with enterprise customers in:

  • SaaS implementations

  • Sustainability / ESG / planning tools (preferred)

• Strong understanding of translating business strategy into technical solutions

Additional Information