Director, Solutioning Software Platform Development
$185.25k - $284.05kKION Group
We offer:
Career Development
Competitive Compensation and Benefits
Pay Transparency
Global Opportunities
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Dematic provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
The base pay range for this role is estimated to be $185,250 to $284,050 at the time of posting. Final compensation will be determined by various factors such as work location, education, experience, knowledge, and skills.
Tasks and Qualifications:
Critical Behaviors and Capabilities:
Innovation mindset with a bias toward improving how work gets done, identifying opportunities to modernize processes, and advancing digital tool capabilities that create measurable business value
Creative problem solving with the ability to navigate ambiguity, break down complex challenges, and develop practical, scalable solutions across technical and business constraints
Strong ability to work across a cross-functional organization, build alignment among diverse stakeholders, and influence decisions without relying solely on direct authority
Proven track record of change leadership, including guiding teams through new ways of working, driving adoption, and sustaining momentum through transformation
Accountabilities:
Lead and develop a multidisciplinary tools organization spanning software developers, UX developers and designers, tools application developers, enterprise data architecture, data ontology resources, and deployment/testing roles.
Define and execute the tools team operating model, engineering standards, and delivery practices needed to build scalable, secure, maintainable, and user-centered applications and data capabilities.
Promote modern software development practices including agile planning, code quality disciplines, automation, testing, DevOps-oriented release practices, and disciplined lifecycle management.
Identify and incorporate AI capabilities where appropriate to improve productivity, user experience, engineering effectiveness, and the overall value of the tools portfolio.
Partner with program leads, application leaders, business stakeholders, and technical experts to translate strategic priorities into roadmaps, staffing plans, delivery milestones, and measurable outcomes.
Establish strong collaboration between software engineering, UX, application development, data architecture, and deployment/testing functions so solutions are integrated, usable, and production-ready.
Build a high-performing team culture through coaching, talent development, role clarity, hiring support, performance expectations, and continuous improvement in how the team works together.
Provide transparent status, risk, resource, and capability updates to leadership, while proactively removing blockers and ensuring alignment with enterprise architecture, governance, security, and business priorities.
Required Competencies, Experience and Qualifications:
Proven experience leading multidisciplinary software or digital product teams, including engineering, UX, application development, and deployment-oriented functions
Strong understanding of modern software development practices, including agile delivery, architecture collaboration, testing, release management, and continuous improvement
Demonstrated ability to build high-performing teams through coaching, talent development, organizational design, and effective leadership in a matrix environment
Experience working across software, data, and user experience disciplines, with an appreciation for enterprise data architecture, semantic/ontology concepts, and production deployment considerations
Ability to identify and apply AI opportunities responsibly and pragmatically to improve team productivity, product capabilities, and user outcomes
Excellent communication, stakeholder management, and decision-making skills, including the ability to align technical direction with business priorities and enterprise constraints
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