Head of Software Engineering, Data, and Digital Experience

Why Us?

With a mantra of Empowering Human Potential, Hanger, Inc. is the world's premier provider of orthotic and prosthetic (O&P) services and products, offering the most advanced O&P solutions, clinically differentiated programs and unsurpassed customer service. Hanger's Patient Care segment is the largest owner and operator of O&P patient care clinics nationwide. Through its Products & Services segment, Hanger distributes branded and private label O&P devices, products and components, and provides rehabilitative solutions to the broader market. With 160 years of clinical excellence and innovation, Hanger's vision is to lead the orthotic and prosthetic markets by providing superior patient care, outcomes, services and value. Collectively, Hanger employees touch thousands of lives each day, helping people achieve new levels of mobility and freedom.

Could This Be For You?

The Head of Software Engineering, Data, and Digital Experience will lead the development, quality, and maintenance of digital assets (applications and data), with a key focus on integrating product management principles, ensuring the highest standards of quality engineering, driving continuous innovation, and owning the user experience and interface design.

 

Additionally, this role will encompass the strategic oversight and implementation of modern technology solutions to further enhance our data capabilities. This role involves strategic planning, technical oversight, and team leadership to ensure the effective management and utilization of software and data engineering, quality, user experience across the organization while fostering a culture of creativity and forward-thinking solutions.

Your Impact

• Software Engineering: Oversee the design, construction, and maintenance of scalable technology solutions, ensuring they meet business requirements and modern engineering standards. Build and manage a team of talented data engineers, providing mentorship and fostering a culture of innovation and continuous improvement.
• Data Strategy & Master Data: Develop and execute data strategies that align with business objectives, ensuring data governance frameworks are established and maintained. Design and implement data pipelines for structured, semi-structured, and unstructured data sources, ensuring efficient data flow across the organization. Establishing data quality standards and data governance policies.
• Quality Engineering: Establish and enforce quality engineering best practices, including automated testing, continuous integration and delivery (CI/CD), and code quality standards.
• Technical Product Management: Lead the technical product management team to integrate solutions into product roadmaps, ensure data-driven product development, and align engineering efforts with the consumer value chain and outcomes.
• Architecture Design & Development: Lead the design and implementation of scalable, robust, and secure technology solutions. Ensure the architecture integrates effectively with existing systems and supports future growth and scalability.
• User Experience and Interface Design: Take ownership of the overall user experience and interface design, working closely with UX/UI designers to ensure seamless, intuitive, and visually appealing user interfaces.  Engage with business stakeholders to understand their needs and requirements, translating them into architectural solutions.  Provide technical expertise and guidance to senior management, presenting complex technical concepts in a clear and understandable manner.
• Innovation Leadership: Foster a culture of innovation within the team by encouraging experimentation, creative problem-solving, and the exploration of new technologies and methodologies.  Including leading the development and deployment of AI and machine learning models, ensuring their integration into data platforms and their alignment with business goals.

Minimum Qualifications

Required Skills and Experience:

• Bachelor’s and/or Master’s degree in Computer Science, Computer Engineering, or a related field.
• Minimum of 10 years of experience in technology architecture, with at least 5 years in a leadership role.
• Proven experience in creating large-scale data engineering pipelines and data-based decision-making tools.
• Proven leadership skills in managing and motivating technical teams
• Experience with SQL and NoSQL databases, data architectures, and data pipelines.
• Experience with visualization tools like Tableau, Power BI, and D3.
• Managing cloud-based data infrastructure on platforms like AWS, Azure, or GCP.
• Strong knowledge of CI/CD, data quality,