Senior Director Digital

If you are passionate about combining technology, product thinking, and people leadership to deliver meaningful business impact, we would like to hear from you.

In this role, you will have the opportunity to shape Sharp's global digital engineering capabilities and play a key part in its digital transformation.

Key responsibilities

Build, lead and scale a high-performing global team across digital product management, software engineering, architecture, data, AI and platform engineering.
Establish the organization design, talent strategy, hiring, performance management, leadership development, succession planning and culture required to create sustainable internal execution capability.
Develop leaders and technical talent across geographies while creating clear accountability, engineering standards and effective collaboration across internal teams and strategic partners.
Own the strategy, roadmap, and portfolio for enterprise digital products and reusable platforms aligned to Sharp's growth, customer, manufacturing, quality, and productivity prioritiesTranslate business opportunities into clear product charters, target outcomes, architecture direction, delivery plans, and investment casesEstablish product-management disciplines spanning discovery, prioritization, design, delivery, adoption, lifecycle ownership, and measurable value realizationCreate reusable capabilities, shared services, data products, and integration patterns that can scale across business units, regions, and sitesPartner with enterprise architecture, cybersecurity, data, applications, quality, and business leaders to maintain a coherent global technology ecosystemBuild and lead a high-performing internal product engineering capability across architecture, software development, integration, quality engineering, and platform operationsDefine pragmatic reference architectures for cloud-native applications, APIs, microservices, data platforms, mobile experiences, and AI-enabled solutionsEstablish disciplined secure software development lifecycle, DevSecOps, CI/CD, testing, observability, release management, documentation, and support practicesRemain close enough to architecture and engineering decisions to challenge designs, remove delivery barriers, and ensure solutions are scalable, supportable, and secureMake clear build, buy, extend, and partner decisions while retaining internal ownership of product strategy, architecture, intellectual capital, and technical standardsLead digital solutions across manufacturing intelligence, line visibility, connected equipment, IoT/IIoT, process parameters, electronic-record workflows, planning and scheduling, quality, and customer collaborationPartner with Operations, Engineering, Quality, Regulatory, Cybersecurity, and site teams to embed GxP, validation, data integrity, privacy, security, and IT/OT requirements from design through operationMove high-value prototypes and proofs of concept into governed enterprise products with clear ownership, adoption plans, operational support, and measurable business outcomes Serve as the Digital Engineering & Technology partner to Commercial and Clinical leadership, participating in operating rhythms, engaging directly with sites and shop floors, and translating business needs into an actionable digital roadmapBalance local regulatory, customer, process, and operating realities with global standards and platforms; provide visible ownership for prioritization, escalation, delivery transparency, and value realizationAccelerate enterprise value-creation priorities, by converting opportunity concepts into executable products, releases, adoption, and realized benefitsDefine and track product outcomes, OKRs, delivery health, adoption, risk, product economics, and business value; communicate progress clearly to executive stakeholdersReduce avoidable vendor dependency and repeated external delivery costs by building internal capability, reusable assets, strong technical governance, and disciplined sourcingHelp shape and lead a globally distributed engineering model, strategic partner and potential future digital capability-center talentEstablish and lead enterprise capabilities across AI, Generative AI, Data Science, advanced analytics and machine-learning engineering, including responsible-AI governance, scalable platform patterns and disciplined model lifecycle management.
Convert AI, data and analytics opportunities into secure, governed products that generate measurable commercial, operational, manufacturing and quality outcomes.
Own the digital products and engineering portfolio, associated investment priorities, delivery operating model and budget, ensuring that technology investment produces measurable value and reduces avoid