The role of the Engineering Data Management & Transformation Lead is responsible for driving Operational Excellence and establishing the ADT Transformation agenda. Strong integration with other Data/Digital/Engineering IM Specialists is expected to achieve this within the TAO Delivery Operations Teams.
Drive the ADT transformational roadmap of Right People, Right Process, and Right Data employing innovative and novel processes, data, and digital solutions. This is done using Agile or LeSS.
Effectively and independently drive the transformation agenda through alignment of a diverse group of organizational stakeholders across multiple levels of the organizational hierarchy.
Identify the organization’s need, create the opportunity/problem awareness, and establish the solution to realize the potential value.
Support Technical Operation teams to actively address critical operational continuity challenges structurally in the area of Projects and Engineering Data Management (1D/2D/3D), but able to restore base capabilities within existing delivery teams with immediacy. Champion ADT-wide replication of capability centralization and process standardization to enable an adaptive workforce chapterization.
Act as an SME by providing guidance with regard to the application of fit-for-purpose standards and best practices.
Responsible for enabling business value delivery through innovative EDM solutions to enable business strategy delivery, value drivers, and KPIs. Ensures that business Information requirements (as dictated by business processes) are fulfilled.
Supporting the IM Process Assurance role to signal shortcomings and inconsistencies in processes and process work activities.
Liaises with the business and developers internally and externally to deliver EDM solutions. Compares market standard solutions with in-house developed or legacy solutions and provides limited consultation to the business.
Acting as an effective business partner to support the Operational Excellence team
Requirements & Skills:
University Degree in an engineering discipline with 8+ years of experience in engineering/business analysis/data analytics/statistics.
Communication mastery: High degree of communication skills, both written and oral; Able to apply simplicity, prioritization, and structure to effectively deliver a clear and compelling case for change with a way forward.
Stakeholder management: Expectation to effectively manage complex interfaces with a broad range of central, TAO, and ADT stakeholders, e.g,. managing primary functional and secondary operational excellence line managers, and their responsibilities.
Framework thinking: Ability to derive structural patterns, develop archetypes, and find pragmatic ways to solve the problem using various framework models, e.g., stack & flow, VSM, SIPOC, SCQA, Mynto pyramid, etc.
Commercial mindset: Entrepreneurial ability to identify the need and quickly devise a pragmatic, agile plan and solution to get there.
Proficient at using basic and intermediate data visualization (PBi or equivalent) and data & digital analytics (SQL, Azure ML, etc) to draw insights, patterns, and actionable root causes to focus on.
Experience with Engineering databases, IM applications such as Engineering Data Warehouse and Electronic Document Management systems (e.g., AIM-EDM, ASSAI, Hexagon, etc.).
Experience working in an ERP or Computerized Maintenance Management Systems (CMMS) such as SAP or Maximo.
Proven track record and experience in leading mid-scale organization change and transformation programs. Proven Agile Project Management experience is desirable.
Strong technical and proven experience applying Shell’s ways of working that including Shell process, standards/frameworks/recommended practices such as Shell ORP and Project Management Framework.
Strong technical and proven experience applying Shell Discipline and Industrial Standards, including DEP, DEP-EIS DEM1/2, JIP33, ISO14224, CFIHOS.
Proficient in various data analysis methods and statistical analysis methods to model operational ground reality challenges, e.g., Z-plot, paretto, etc.
Behavioural Competences: Dynamic and independent impact player that can effectively drive the transformation agenda through alignment of a diverse group of organizational stakeholders at multiple levels of the organization hierarchy.
Candidate needs to be a passionate self-starter who is flexible, adaptable, and resilient to drive transformational changes across a diverse group of stakeholders in an environment with high resistance to change.
Resourcefulness to leverage all available information and resources, know-how within the organization, industry, and cross-industry to apply fit-for-future innovative solutions.
Able to define the box, think outside the box creatively to innovate and transform current ways of working. Has a passion for implementing sustainable, standardized, and robust Engineering Data Management with a vision to create a strong support delivery organization.
Good team player but able to work independently with minimal guidance. Ability to prioritize and ensure delivery of priorities for the area of responsibility.
Flexible and adaptable to change. Competitive applicants will have a proven track record of demonstrating initiative, analytical capabilities, and critical problem-solving in mid-scale organization change and transformation program(s).
