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Head Of Forecasting Analytics Jobs (NOW HIRING)

Mantari

Head of Software

Torrance, CA · On-site +1

$141K - $189K/yr

Description The Head of Software will own the architecture and implementation of Mantari's full ... forecasting, analytics, and decision delivery. You'll design and lead the buildout of the core ...

Mantari

Head of Software

Torrance, CA · On-site

$141K - $189K/yr

Description The Head of Software will own the architecture and implementation of Mantari's full ... forecasting, analytics, and decision delivery. You'll design and lead the buildout of the core ...

Southern Company

Manager, Load Forecasting

Atlanta, GA · On-site

The position serves as the Director of Forecasting and Analytics' primary forecasting deputy, or knowledge lieutenant, ensuring that forecasting methods, assumptions, outputs, documentation, and ...

Southern Company

Manager, Load Forecasting

Atlanta, GA · On-site

The position serves as the Director of Forecasting and Analytics' primary forecasting deputy, or knowledge lieutenant, ensuring that forecasting methods, assumptions, outputs, documentation, and ...

Xpect Solutions

Head of Analytics

Washington, DC · On-site

Head of Analytics ID: 1000000069 Location: Washington,DC Clearance Level: Active Top Secret Shift ... Develop forecasting models and performance projections that support strategic planning, resource ...

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Head Of Forecasting Analytics information

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How much do head of forecasting analytics jobs pay per year?

As of Sep 10, 2026, the average yearly pay for head of forecasting analytics in the United States is $96,611.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $125,500.00 per year, depending on experience, location, and employer.

What does a head of forecasting analytics do?

A Head of Forecasting Analytics leads a team responsible for analyzing data and creating predictive models to forecast business outcomes. They oversee the development and implementation of analytical strategies to improve forecasting accuracy, often working closely with other departments such as sales, finance, and operations. This role involves managing data scientists or analysts, selecting the right tools and methodologies, and communicating insights to senior leadership to inform business decisions. Additionally, they ensure that forecasting processes align with the company's goals and continuously seek opportunities to enhance efficiency and innovation.

How does the head of forecasting analytics typically collaborate with other departments to ensure accurate projections?

The Head of Forecasting Analytics works closely with teams such as sales, marketing, finance, and supply chain to gather relevant data and insights. Regular cross-departmental meetings are common to align assumptions, discuss market trends, and validate forecasting models. This collaborative approach helps ensure that forecasts are both data-driven and incorporate input from key stakeholders, enhancing their accuracy and relevance to business decisions. Effective communication and alignment with these departments are essential for responding to rapidly changing market conditions.

What are the key skills and qualifications needed to thrive as a head of forecasting analytics, and why are they important?

To thrive as a Head Of Forecasting Analytics, you need deep expertise in statistical analysis, data modeling, and business forecasting, usually supported by an advanced degree in statistics, mathematics, or a related field. Mastery of analytics platforms (such as Python, R, or SAS), business intelligence tools, and experience with data visualization and forecasting software are essential. Strategic thinking, leadership, and strong communication skills distinguish top performers in this role. These abilities are crucial for delivering accurate forecasts, guiding data-driven decisions, and leading teams in high-impact business environments.

What are popular job titles related to Head Of Forecasting Analytics jobs?

For Head Of Forecasting Analytics jobs, the most frequently searched job titles are:

Infographic showing various Head Of Forecasting Analytics job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 93% Full Time, 3% Part Time, and 3% Contract. Highlights an 77% Physical, 7% Hybrid, and 16% Remote job distribution, with an average salary of $96,611 per year, or $46.4 per hour.

Head of Software

Torrance, CA • On-site, Remote

Mantari
See more jobs at Mantariexternal

$141K - $189K/yr

Full-time

Re-posted 21 days ago

Job description

Description

The Head of Software will own the architecture and implementation of Mantari's full-stack weather intelligence platform - the software backbone that powers sensing, data assimilation, forecasting, analytics, and decision delivery.

You'll design and lead the buildout of the core platform that ingests global sensor data, runs large-scale model training and inference, manages distributed compute pipelines, and serves forecast and analytic products to customers via APIs and integrated applications. This is a systems leadership role: you'll define the architecture, hire and mentor the engineering team, and ensure the platform meets Mantari's demanding standards for scale, resilience, latency, and security.

You'll partner closely with the Head of Weather (who owns forecasting science), and Growth team and Forward Deployed Engineers(who integrate customer systems). Your job: turn the full-stack vision into code and build the infrastructure of foresight.

Key Responsibilities
  • Architect Mantari's end-to-end platform, spanning:
    • Sensor platform autonomy and edge compute
    • Sensor data ingestion and transformation
    • Data assimilation and model runtime orchestration
    • Scalable model training and distributed inference
    • API services and analytics layers
    • Secure multi-tenant customer delivery
  • Lead software design for modular, cloud-native, and high-availability systems (microservices, container orchestration, data streaming)
  • Define the platform runtime -- how models (physics-based, hybrid, AI) are deployed, scheduled, and versioned.  Verification/validation for customers is critical!
  • Build developer velocity with best-in-class CI/CD, observability, and deployment pipelines
  • Own cloud infrastructure (GCP/AWS/Azure), including cost optimization, GPU fleet management, and multi-region scaling
  • Establish data platform foundations (storage, ETL, metadata, lineage, reanalysis)
  • Collaborate with ML and atmospheric science teams to align software design with model and data needs
  • Set technical standards across codebase, security, APIs, and reliability
  • Recruit, mentor, and scale Mantari's software engineering team
Requirements
  • BS/MS/PhD in Computer Science, Software Engineering, or related technical field
  • 8+ years in software architecture and systems engineering
  • Proven experience designing and operating large-scale, cloud-native platforms (multi-service, distributed, high-throughput)
  • Deep expertise in:
    • Cloud infrastructure (GCP, AWS, or Azure)
    • Container orchestration (Kubernetes, Nomad, Slurm)
    • Data streaming and pipelines (Kafka, Beam, Ray, Spark)
    • Microservice design, API gateways, and backend architecture
  • Strong foundation in DevOps: CI/CD, infrastructure as code, monitoring, and observability
  • Experience supporting ML/AI pipelines (training, inference, versioning) at scale
  • Track record of leading teams delivering production-critical platforms
Bonus Qualifications
  • Background building real-time analytics, or computing systems/earth observation systems
  • Familiarity with GPU-accelerated workloads, distributed training, or model serving at scale
  • Experience integrating multi-modal data (satellite, sensor, remote sensing, IoT)
  • Knowledge of forecasting systems, data assimilation, or simulation pipelines
  • Prior experience in high-stakes environments (aerospace, defense, energy, or autonomy)
  • Comfort working across disciplines - science, ML, software, product
  • Strong communication skills and leadership presence
How We Work
  • Small, senior team; high autonomy, high expectations.
  • Collaborate closely with the founding team and SMEs to push the boundaries of observation-driven AI-native weather forecasting, and turn weather into an advantage, not a roadblock.
  • LA HQ required.
  • Equity upside commensurate with being one of the first core team members. Competitive salary, full benefits, and hardware budget.

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