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Head of Engineering

Job in Dallas, Dallas County, Texas, 75215, USA
Listing for: MathCo
Full Time position
Listed on 2026-01-14
Job specializations:
  • Engineering
    Data Science Manager, Operations Manager
Salary/Wage Range or Industry Benchmark: 150000 - 200000 USD Yearly USD 150000.00 200000.00 YEAR
Job Description & How to Apply Below

Connecting uncommon talent with uncommon opportunity.

Designation:
Head of Engineering – Rest of World

About Us

The Math Company  (Math Co®) is a global Enterprise AI and Analytics firm trusted by leading Fortune 500 and Global 2000 organizations to enable data-driven decision-making. Since 2016, Math Co has delivered custom AI, ML, and analytics solutions through a unique hybrid model that blends deep consulting expertise with scalable engineering execution.

Our proprietary platform,
NucliOS
, provides pre-built workflows and plug-and-play modules that accelerate value delivery and enable connected intelligence at lower TCO.

We foster an open, collaborative, and transparent culture where Mathemagicians can grow, experiment, and make an impact. We prioritize capability, curiosity, and ownership - empowering our teams to truly Leave a Mark.

Role Overview

As the Head of Engineering supporting Rest of World accounts, you will oversee the end-to-end delivery and execution of data engineering and AI/ML engineering engagements across our US client portfolio. You will ensure engineering teams deliver with excellence, operate at scale, and consistently meet client expectations across high-impact enterprise programs.

This role sits at the intersection of engineering leadership, delivery governance, and strategic account partnership. You will guide multi-disciplinary teams, strengthen client confidence through predictable execution, and build the operating mechanisms that enable world-class engineering delivery.

Key Responsibilities Engineering & Delivery Leadership
  • Drive the engineering delivery strategy for Rest of World accounts, ensuring alignment with business goals and long-term client priorities.
  • Oversee the end-to-end engineering lifecycle - from discovery and onboarding to deployment, optimization, and transition.
  • Ensure consistent delivery excellence across data engineering, MLOps, cloud modernization, and platform engineering engagements.
Resource Strategy & Capacity Planning
  • Forecast engineering talent needs across accounts; optimize deployment, utilization, and workforce planning.
  • Build a strong, scalable bench aligned with evolving client demand and technology skill sets.
Quality, Governance & Risk Management
  • Establish and maintain engineering quality standards, SLAs, and best practices across teams.
  • Proactively identify delivery risks and manage escalations with speed and transparency.
  • Strengthen operational rigor through playbooks, processes, tooling, and reusable frameworks.
  • Lead and mentor engineering leaders, managers, and cross-functional delivery teams.
  • Foster a high-performance culture focused on accountability, technical excellence, and continuous learning.
  • Partner with HR and Talent teams to attract, develop, and retain top engineering talent.
Client Partnership & Stakeholder Management
  • Act as a strategic delivery partner for senior Rest of World client stakeholders, ensuring engineering health, predictability, and value realization.
  • Strengthen long‑term client relationships and influence CSAT, expansion, and growth.
  • Collaborate closely with Customer Success, Consulting, and Engagement leadership to align delivery outcomes with client goals.
Metrics, Reporting & Performance Management
  • Define KPIs to measure engineering performance (e.g., utilization, SLA adherence, quality, velocity, NPS, escalations).
  • Report delivery health and insights to executive leadership with a data‑driven lens.
  • Drive continuous improvement initiatives across the engineering organization.

Required Qualifications

  • 15+ years of experience in engineering delivery, operations, or technology leadership—preferably in data engineering, cloud, analytics, or consulting environments.
  • Proven track record leading large, distributed engineering teams across multiple enterprise clients.
  • Deep understanding of data engineering, cloud platforms (AWS, Azure, GCP), MLOps, and modern software engineering life cycles.
  • Expertise in workforce planning, resource management, and large-scale delivery operations.
  • Exceptional leadership, communication, and stakeholder management skills with experience engaging senior executives.
  • Strong analytical and problem‑solving…
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