Director of Data & Analytics

Weir ESCO

Portland, OR

Hybrid

Purpose of Role: This role will develop, deliver and maintain our data strategy across our ESCO Division. Responsible for overseeing the development and use of data analytic platforms and tools across ESCO, ensuring alignment with our global data strategy and Enterprise Architecture, while leveraging the capabilities provided through Weir Business Shared Services. The role requires an understanding of machine learning, artificial intelligence (AI), and data governance principles and how they can be deployed to drive innovation and efficiency across our operations. A focus of this role is to underpin a step-change in decision-making across the organization through the move to data-driven and evidence-based based decision support. Active stakeholder management and engagement is a fundamental element of the role including interacting and coaching members of the ESCO leadership teams to support and mature their data-centric decision making capabilities including defined KPIs, OKRs and related improvement opportunities.

Why choose Weir:

Be part of a global organization dedicated to building a better future: At Weir, the growing world depends on us. It depends on us constantly reinventing, quickly adapting and continually finding better, faster, more sustainable ways to access the resources it needs to thrive. And it depends on each of us doing the best work of our lives. It’s a big challenge – but it is exciting.

An opportunity to grow your own way: Everything moves fast in the dynamic world of Weir. This creates opportunities for us to take on new challenges, explore new areas, learn, progress and excel. Best of all, there is no set path that our people must take. Instead, everyone is given the support and freedom to tailor-make their own career and do the best work of their lives.

Feel empowered to be yourself and belong: Weir is a welcoming, inclusive place, where each individual’s contribution is recognized and all employees are encouraged to innovate, collaborate and be themselves. We continually focus on people and their wellbeing. We believe in fairness and choose to be honest, transparent and authentic in everything we do.

Key Responsibilities:

• Develop and implement an industry leading comprehensive data strategy that supports Divisional objectives and is aligned with our Corporate Data Strategy and Target Enterprise Architecture.
• Lead the development and implementation of a data governance framework across ESCO to ensure data integrity, quality, and compliance with relevant regulations. This includes leading the Divisional Data Governance and Enterprise Performance Management Teams in support of Performance Excellence
• Oversee the recruitment and retention of data analytics and data science talent and foster a culture of innovation and continuous improvement.
• Collaborate with IS&T and business stakeholders to integrate AI and machine learning technologies that enhance decision-making and operational efficiency.
• Drive the adoption of advanced analytics and predictive modelling techniques across the division.
• Implement our corporate data policies and standards to ensure appropriate collection, storage, and use of corporate data assets.
• Collaborate with WBS colleagues in the design and development of corporate analytics datastore, based on our Common Data platform
• Manage & lead the ESCO Division Data and Analytics team including proposing and getting alignment on the annual budget for the team
• Safety First: Demonstrate 100% commitment to our zero harm behaviors in support of our drive towards developing a world class safety culture.
  
  

Job Knowledge/Education and Qualifications:

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or related field.
• Minimum of 10 years of experience in a data analytics or data science role, with at least 5 years in a leadership position
• Proven track record of implementing data analytics and governance in a large-scale, complex organization. (Experience of implementing AI across a global business a plus)
• Strong understanding of manufacturing, supply chain and/or finance processes and how data analytics can drive improvements
• Exceptional leadership and team-building skills, with the ability to inspire and motivate cross-functional teams
  
  

Founded in 1871, Weir is a world leading engineering business with a purpose to make mining operations smarter, more efficient and sustainable. Thanks to Weir’s technology, our customers can produce essential metals and minerals using less energy, water and waste at lower cost. With the increasing need for metals and minerals for climate change solutions, Weir colleagues are playing their part in powering a low carbon future. We are a global family of 11,000 uniquely talented people in over 60 counties, inspiring each other to do the best work of our lives.

For additional information about what it is like to work at Weir, please visit our Career Page and LinkedIn Life Page.

Weir is committed to an inclusive and diverse workplace. We are an equal opportunity employer and do not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, veteran status, disability, age, or any other legally protected status.

#esco