Practice Head - Digital Engineering

Overview

$DOE
Full Time

Skills

Digital Engineering

Job Details

HMG America LLC is the best Business Solutions focused Information Technology Company with IT consulting and services, software and web development, staff augmentation and other professional services. One of our direct clients is looking for Practice Head - Digital Engineering in Remote. Below is the detailed job description.

Role - Practice Head - Digital Engineering
Location - Remote (candidate should be open to travel)
Hire type - Full time
Must Have - This role will be responsible for spread-heading pre-sales efforts and driving technology innovation to expand our digital engineering practice. The ideal candidate should have deep expertise in cloud-native architecture, full-stack development, digital transformation strategies and AI/ML platforms with a strong focus on delivering high-impact solutions to clients.

Job Summary:

We are seeking a highly experienced Senior Director to lead our Digital Engineering practice in the US. This role will be responsible for spread-heading pre-sales efforts and driving technology innovation to expand our digital engineering practice. The ideal candidate should have deep expertise in cloud-native architecture, full-stack development, digital transformation strategies and AI/ML platforms with a strong focus on delivering high-impact solutions to clients.

Key Responsibilities:

Technology Leadership & Innovation

  • Define the why, what and how of Digital Engineering in Data and AI/ML ecosystem need of multi-channel application development on top of underlying data, and AI/ML solutions.
  • Stay ahead of emerging trends in cloud-native architectures, microservices, AI/ML, data platforms, and DevOps and platform engineering to build scalable and resilient platforms.
  • Decipher market trends, competitor positioning and customer demand in order to position our Digital engineering value proposition effectively
  • Oversee end-to-end solution architecture, ensuring high performance, security, and scalability.

Pre-Sales & Customer Engagement

  • Lead pre-sales strategy, responding to RFPs/RFIs, crafting compelling proposals, and presenting digital transformation solutions to clients.
  • Partner with sales and account teams to drive customer success, revenue growth, and strategic business opportunities.
  • Engage with CXOs and business leaders to define digital roadmaps and demonstrate the business value of technology investments.

People & Practice Management

  • Work closely with extended leadership in India to build and lead a high-performing engineering team with expertise in full-stack, cloud platforms, AI/ML, and modern digital technologies.
  • Mentor, coach, and develop talent while fostering an innovation-driven culture.
  • Oversee workforce planning, competency development, and career progression for team members.

Digital Engineering & AI/ML Excellence

  • Drive the adoption of modern platform engineering practices, including CI/CD, IaC, Agile, Test Automation, and Site Reliability Engineering (SRE).
  • Craft innovative solutions to integrate AI/ML models as well as Gen AI agents into digital journey by providing decision experience. Work with cross functional teams (such as data engineering and data science teams) to realize end-to-end digital solutions.

Stakeholder & Executive Management

  • Work closely with senior leadership to align digital engineering strategy with business goals.
  • Represent the organization at industry events, conferences, and customer meetings.
  • Establish / nurture partnerships with technology vendors, hyperscalers and academia.

Required Skills & Experience:

  • 17+ years of experience in digital engineering, full-stack development, cloud platforms, and AI/ML.
  • Strong pre-sales, solutioning, and consulting experience, including crafting winning proposals and driving revenue growth.
  • Hands-on experience in building scalable, cloud-native architectures, microservices, API platforms, and DevOps automation.
  • Proven expertise in modern technology stacks, including Java, .NET, Python, Node.js, React, Angular, Kubernetes, Azure, Google Cloud Platform.
  • Good exposure to AI/ML frameworks, Gen AI, LLMs, NLP, Computer Vision, and Data Engineering.
  • 5+ years of leadership experience managing large, geographically distributed engineering teams.
  • Impeccable communication, stakeholder management, and executive presentation skills.

Preferred Qualifications:

  • Master's or Bachelor's degree in Computer Science, Engineering, or a related field.
  • Certifications in AWS/Azure/Google Cloud Platform, AI/ML, and Agile methodologies.

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