AMCL/ Turner & Townsend is looking to recruit a Data Asset Management Consultant into the US team. The role will support the delivery of a variety of consultancy and transformation projects for high profile infrastructure organizations across multiple sectors. The role provides an opportunity to work on a variety of projects including asset management capability improvement projects, asset information projects, and data analytics.
The role will be based out of our New York Office, however there will be the opportunity to support projects throughout the east coast. We will only consider candidates currently located on the US East Coast.
Key Responsibilities:
Consulting:
- Work as a Data Asset Management Consultant within the delivery team and support the implementation of business transformation projects including asset management consultancy, training, and information projects.
- Work independently, lead, or collaborate with the wider US or global team to deliver the complete lifecycle of asset management transformation projects, from sourcing to project closure.
- Consult with clients in the improvement of their capabilities with a focus on asset management and asset management systems.
- Lead and manage the delivery of Asset Management projects for clients in line with the AMCL project governance requirements.
- Identify and manage business development and sales activities including identifying new opportunities, supporting bid work, proposal writing, and presentation development.
- Deliver project work, including but not limited to, facilitating internal and external workshops, writing reports, and delivering presentations.
- Develop and produce Asset Management products on behalf and in collaboration with clients.
- Contribute to leading thinking on emerging business and asset management topics.
Data Analytics:
- Interpret complex dataset, develop KPIs, analyze trends and perform descriptive, diagnostic, predictive & prescriptive analytics.
- Design, build and maintain Power BI dashboards.
- Lead the design and implementation of complex extract, transform and load (ETL) processes from multiple sources, ensuring scalability, efficiency, accuracy and reliability.
- Process confidential data and information according to guidelines.
- Communicate and present data analytics insights to the team and the clients.
- Formal report/document writing.
- Effectively translate stakeholder requirements into well鈥慸efined data metrics