Data Asset Management Consultant- Civil Infrastructure

Turner & Townsend•New York, NY

22h

About The Position

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.

Requirements

Experience working with civil infrastructure organizations and a knowledge of:
The state of the practice and common Asset Management challenges in various asset-intensive sectors, including transportation, power, water, real estate, and municipalities
The phases of an asset’s lifecycle (Acquire, Operate, Maintain, Dispose) and associated decision-making processes, people, and information that support them, such as Strategic Planning, Capital Investment Planning, Reliability Centered Maintenance, or Whole Life Cost Modeling
IT systems and asset information that support and enable Asset Management, typical business drivers for IT procurement projects and the systems engineering principles that underpin successful IT system procurement and delivery
Business management principles including governance arrangements, performance management, risk management, review and management of change
End-to-end business process flows such as Investment/Business Planning, Work Management, Inventory Management, Safety Management, or Procurement
Competence and skills requirements for various Asset Management roles in an asset-intensive organization, along with training and other skill development opportunities
Stakeholder and customer engagement and communication mechanisms, for purposes of communicating and gathering information both inside and outside the organization
Experience working with complex data and systems and the ability to:
Work with clients and stakeholders to understand business needs & requirements and translate into both technical and non-technical terms
Analyze and maintain existing dashboards, tools, reports and databases
Understand relational database and extract, transform and load information (e.g. using SQL queries)
Use data visualization tools such as Power BI and/or Tableau
Apply programming knowledge across multiple domains to support process automation, product development, and technical problem solving
Fundamental consulting skills and traits such as:
Planning and Delivery - works comfortably in a fast-paced environment, managing multiple projects/tasks concurrently, delivering projects or tasks on time and to budget.
Collaboration - actively listens, communicates clearly, seeks feedback to ensure the message has been understood, and resolves conflict in a professional manner
Integrity - acts with professionalism, establishes rapport and builds relationships with teammates and external clients based on trust and integrity
Information Solicitation and Analysis - researches, interprets and analyses different forms of information (interviews, surveys, reports, etc.) to understand client issues and diagnose problems, identifies and implements appropriate data analysis tools and techniques to derive insight for client organizations from data trends, patterns and anomalies
Problem Solving and Solution Implementation- diagnoses root causes and applies knowledge and experience to solve problems creatively, employs a logical and informed approach to decision making, and adds value by leveraging appropriate tools and methodologies when recommending and implementing solutions
Written and Verbal Communication - articulates complex information clearly, in a written style and format appropriate to the audience and context, translates complex analytical findings into clear, concise, and actionable insights for diverse audiences and utilizes visual aids and storytelling techniques to enhance comprehension and tailor the communication to the relevant stakeholders.
Directing work – translating scope into tasks and deliverables, managing stakeholder expectations, and course correcting when required.

Responsibilities

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.
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‑defined data metrics