(Senior) Manager, Digital Strategy & Delivery - Operations (m/f/d)
Clariant Munich, Bavaria, Germany
Chemical Manufacturing · 10,001+ employees
About the role
The role involves defining and executing the digital roadmap for operations, including production and quality, to drive measurable performance improvements. You will act as the primary interface between plant leadership and digital delivery teams to implement AI/ML solutions and manufacturing technologies.
What they look for
Requirements
Candidates should possess a strong understanding of manufacturing operations, process analytics, and digital solution delivery. The role requires the ability to build trust-based relationships with plant managers and lead cross-functional teams through complex digital transformations.
Full description
Job ID: 41737 | Location: Munich, Bavaria, Germany | Work Model: Hybrid
Clariant is a focused, sustainable, and innovative specialty chemical company. We connect our customers to value-adding and sustainable solutions for products used in countless everyday applications. Our solutions contribute to our customers' sustainability targets while prioritizing our own. We are committed to creating value through innovation and sustainability for our customers, stakeholders, and the environment.
As (Senior) Manager, Digital Strategy & Delivery (m/f/d), you own the digital portfolio for operations across the business unit, from identifying improvement potential in our plants to delivering solutions that measurably move performance, quality, and cost. You work at the interface between production leadership and the digital delivery teams: close enough to operations to understand how plants actually run, and technical enough to judge what operations data, process analytics, and AI/ML can realistically deliver.
Responsibilities
- Define and evolve the digital roadmap for the operations domain, incl. production, process performance, and quality, in close liaison with operations and plant leadership, translating operational ambitions into prioritized, executable initiatives with quantified business cases
- Drive end-to-end ownership from pain point identification on the plant floor through problem framing, solution design, handoff to delivery teams, and oversight through to production rollout
- Own the business side of the manufacturing solution landscape (MES, process historians, process analytics platforms), shaping requirements, configuration priorities, and adoption in partnership with IT and delivery teams
- Shape and sponsor AI/ML use cases for manufacturing, such as process optimization, predictive quality, soft sensors, by framing the business problem, challenging outcomes against operational reality, and owning value realization, in close collaboration with data science and technical leads
- Build trust-based relationships with plant managers, production and quality leadership, and process engineers, maintaining alignment and removing roadblocks across sites
- Partner with change and regional implementation teams to embed solutions into daily plant operations and close feedback loops with operators and engineers
- Track and report value delivery through operational KPIs and ROI, making decisive go/no-go calls for rollouts and driving continuous improvement across the portfolio
- Act as a change agent within manufacturing, shifting mindsets toward digital-first, data-driven ways of working and building momentum through visible early wins on the shop floor
