Asset Performance Management Leader, Digital Asset Management and Operations - UK / North America
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Purpose of the Role:
The Asset Performance Management (APM) Leader will be responsible for defining, promoting and delivering our APM solutions as part of the broader Digital Asset Management and Operations (DAMO) group at SNC-Lavalin. Per Gartner, APM is “a market of software tools and applications for optimizing operational assets (such as plants, equipment and infrastructure) essential to the operation of an enterprise. Organizations invest in APM tools and technologies to reduce unplanned repair work, increase asset availability, minimize maintenance costs and reduce the risk of failure for critical assets.”
The APM Leader will be responsible for selecting key APM technology partners, defining our implementation methodology, developing re-usable service accelerators and IP, and promoting and delivering our APM offering. A key aspect of this role will be to work with our technology team to develop state of the art machine learning models to support APM capabilities within client organizations. These innovative algorithms and models will make intelligent and automated decisions in real time.
The role will collaborate closely with key functions, including engineering, sales, commercial and technology teams, across all SNC-Lavalin business sectors.
The ideal leader will combine expert knowledge of Asset Performance Management (including asset strategy and risk management, reliability centered maintenance, condition based maintenance, and predictive asset management, failure mode and effect analysis, etc), with basic knowledge of data analytics (including artificial intelligence, and machine learning).
The role will require a lot of travel across NA and internationally.
Key Deliverables/Responsibilities
• Select and develop strategic APM technology partners
• Develop our APM offerings, value proposition and differentiation
• Define our implementation methodology
• Work with the SNC-Lavalin Digital Factory to develop re-usable IP in the form of machine learning models
• Work with the SNC-Lavalin business units to help sell our APM offerings
• Work with the business units and our Digital Factory to help deliver our APM offerings
• Communicate complex quantitative analysis in a clear, precise, and actionable manner to our clients and internal partners in a language they can understand
• Work with some of the best recognized AI/data science experts from the Academia, Think Tanks, AI Incubators to design and implement applied AI/data science models to support APM solutions.
• Communicate progress, challenges and corrective actions required to achieve goals.
Experience Required
Essential Requirements
• Degree in Engineering, Operations, Computer Science, Mathematics, Computational Statistics or related technical field.
• Experience applying APM practices and methods (e.g. predictive asset management, reliability centered maintenance, etc)
• Considerable relevant employment experience.
• Some familiarity with one of the major commercial off the shelf APM platforms (e.g. GE, AVEVA, Aspentech, etc)
• Excellent communication skills: verbal and written. Ability to explain highly technical concepts to a non-technical audience.
• Demonstrated ability to build relationships, communicate at all levels, and work and lead across a highly complex and matrixed organization
Desirable Experiences
• Experience developing algorithms using data analytics, artificial intelligence and machine learning.
• Experience working in a fast pace technology environment that utilise design thinking, lean start up and agile delivery approaches
• Commercial and business skills (e.g. negotiation, P&L optimization, etc)
Rewards and benefits:
Atkins offers a fantastic range of benefits, which you can tailor to suit your own health, wellbeing, financial and lifestyle choices.
All the information you need to know is available on our dedicated benefits portal; your reward, which is available to access 24/7 from any device: http://www.yourrewardatkins.com
Security Clearance:
This role may require security clearance and offers of employment will be dependent on obtaining the relevant level of clearance. If this is necessary it will be discussed with you at interview.
If applying to this role please do not make reference to (in conversation) or include in your application or CV, details of any current or previously held security clearance.
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