Responsibilities include:

SPI System Administration & Database Management

• Lead the setup, configuration, and deployment of new SPI project databases using the SPI Admin tool.
• Manage SPI database merging, claiming, and transitions into production within site-specific SLAs.
• Maintain SPI templates, tables, libraries, and Shell-specific specification forms.
• Perform routine database cleanup, quality checks, and resolve discrepancies between SPI, SAP, AIM-A, and Digital Twin.
• Manage SPI user accounts, roles, permissions, and access controls.
• Ensure robust QA/QC processes and support a 'First Time Right' quality culture.

Instrumentation Engineering Support

• Understand maintenance and operational requirements for field instruments, analyzers, PLC/DCS systems, and other control assets.
• Maintain instrument indexes, update specifications, and manage JB schedules, loop diagrams, and wiring details.
• Troubleshoot end-to-end instrument wiring and provide virtual technical solutions.
• Ensure accurate and updated As-Built data in SPI.
• Coordinate with EPCs and site teams for data reviews, updates, and technical clarifications.

Project & Maintenance Support

• Review, validate, and incorporate SPI project deliverables from EPCs into the live database.
• Initiate and configure SPI databases for new capital and brownfield projects.
• Analyze technical documents, engineering data, and maintenance procedures to ensure SPI data accuracy.
• Support site teams with troubleshooting and SPI functionality training.
• Facilitate cross-functional collaboration across Engineering, Operations, and Maintenance.

Technical & Wiring Troubleshooting Support

• Provide support for end-to-end loop verification, wiring diagnostics, and virtual troubleshooting for field engineers and EPCs.

Develop Power BI dashboards

• Using SQL queries and build Power BI dashboards to extract, analyze, and visualize SPI-related data for reporting and decision-making.

Review & Integration of Project Deliverables

• Validate EPC submissions, integrate project and plant changes, and ensure document control alignment throughout the project lifecycle.

Compliance, Safety & Documentation

• Ensure adherence to Shell design standards, engineering practices, and HSSE requirements.
• Participate in Risk Assessments (RA) for instrumentation data changes.
• Maintain complete documentation, audit trails, and accurate SPI modification records.
• Ensure data completeness to support plant reliability and availability.

SME Leadership & Knowledge Transfer

• Act as SPI Subject Matter Expert, mentor peers, and contribute to building discipline capability.
• Maintain strong connections with Shell engineering best-practice networks.

Reporting & Continuous Improvement

• Generate standard and ad hoc SPI reports for engineering, maintenance, and operations.
• Identify process improvement opportunities and support automation and tool enhancement initiatives.
• Drive continuous improvement in data workflows between SPI and other plant information systems.

Requirements:

• Bachelor's degree in Instrumentation, Electrical, or a related engineering discipline.
• Minimum of 8 years of hands-on experience with Hexagon SmartPlant Instrumentation (SPI), including at least 3 years in SPI Administration.
• Familiarity with GSAP, SQL, Power BI, AIM-A, Digital Twin, and other integrated engineering tools is preferred.
• Strong understanding of instrumentation used in oil & gas, petrochemical, or related process industries.
• Knowledge of Shell-specific specifications, data standards, and document management systems is an advantage.
• Experience collaborating with EPCs, engineering teams, and multidisciplinary stakeholders.
• Strong analytical skills, attention to detail, and troubleshooting capability for instrumentation and data issues.
• Strong communication and stakeholder management skills, with the ability to collaborate across teams and locations.

What we offer:

• Progress as a person as we work on the energy transition together.
• Continuously grow the transferable skills you need to get ahead.
• Work at the forefront of technology, trends, and practices.
• Collaborate with experienced colleagues with unique expertise.
• Achieve your balance in a values-led culture that encourages you to be the best version of yourself.
• Join an organisation working to become one of the most diverse and inclusive in the world.

Job Data by YubHub.

As a Data Science Engagement Lead within the Digital Process Twin (DPT) portfolio, you will lead data scientists and collaborate with cross-functional business teams to identify transformation opportunities using process-centric data and guide the application of process mining, optimization, and AI/ML techniques to improve operational performance.

Your work will drive measurable business outcomes by enhancing visibility, agility, and efficiency across Shell's business operations.

The DPT Centre of Excellence (CoE) aims to 'Empower Process Transformation through Digital Process Twins' by applying advanced process mining and analytics capabilities.

Responsibilities

• Lead process-mining consulting engagements, translating business challenges into analytical problem statements and actionable insights that drive measurable digital process transformation.
• Partner with global and regional business stakeholders to uncover inefficiencies, define transformation opportunities, and generate process-analytics use cases aligned with the Integrated Process Plan (IPP).
• Oversee the design and development of process data models, collaborating with process and data architects to ensure clean, integrated, and analysis-ready event data from enterprise systems.
• Facilitate process discovery and value workshops, translating analytical findings into tangible business outcomes through clear, evidence-based, and persuasive data storytelling.
• Guide the delivery of analytical and AI/ML solutions, ensuring alignment with strategic priorities, technical excellence, and measurable value realization.
• Champion change and capability adoption, organizing enablement sessions, roadshows, and awareness programs to promote process-mining and analytics capabilities across business Region/functions.
• Support collaboration with academic and technology partners to explore new analytical methods and contribute insights to product enhancement discussions.
• Mentor and coach data scientists, developing consulting, technical, and storytelling capabilities within the DPT community.
• Monitor industry trends and emerging technologies to provide input on potential future use cases in process analytics, optimization, and AI.

Requirements

• 10–12 years of total experience, including 6+ years in analytics consulting, of which 3+ years in process-mining consulting or process-analytics leadership.
• Bachelor's or Master's degree in Mathematics, Statistics, Economics, Data Science, Engineering, Technical Finance, or a related quantitative field.
• Combines deep analytical expertise with consulting leadership, leveraging prior hands-on experience in analytical solution development and data-driven problem solving.
• Process-Mining Technical Expertise: Strong command of process-mining concepts, algorithms, and tools.
• Led the development and delivery of AI/ML use cases using process-centric data.
• Designed and implemented process data models and event-data integration frameworks.
• Delivered process-analytics and AI-driven consulting engagements across business domains.
• Champions disciplined and responsible data-science delivery.
• Demonstrated strength in analytical storytelling.
• Experience in leading and active engagement in professional communities.
• Proven expertise in applying process mining, optimization, machine learning, or AI techniques.
• Strong proficiency in Python, SQL, and process data modeling.
• Deep understanding of process data structures.
• Structured, hypothesis-driven problem-solving approach.
• Ability to guide cross-functional teams.
• Experience with cloud-based analytics environments and process-analytics platforms.
• Understanding of end-to-end business-process lifecycles.
• Knowledge of process simulation, optimization, or Operations Research (OR) techniques.
• Strong data storytelling and visualization skills.
• Continuous-learning mindset.
• Experience with complementary or open-source process-mining tools.
• Research and innovation orientation.

Benefits

• Progress as a person while working on the energy transition.
• Continuously grow transferable skills.
• Work at the forefront of technology, trends, and practices.
• Collaborate with experienced colleagues.
• Achieve balance in a values-led culture.
• Join an organization working to become one of the most diverse and inclusive in the world.
• Grow through diverse career opportunities.
• Gain access to a wide range of training and development programs.

Job Data by YubHub.

The role acts as a strategic finance partner to business and finance leadership, translating commercial drivers, operational performance, risks and opportunities into clear financial insights and actionable interventions.

Responsibilities

• Lead integrated planning and forecasting: Own and coordinate planning, latest estimate and appraisal processes, ensuring assumptions, financial outcomes and business drivers are transparent, consistent and aligned with business strategy.
• Drive performance management: Monitor financial and operational performance against targets/benchmarks, identify emerging risks and opportunities, and support timely interventions to drive competitive performance.
• Provide business appraisal and decision support: Apply value and risk lenses to investment, portfolio, commercial and operational decisions, ensuring options are evaluated with sound financial logic and business judgement.
• Generate actionable options and recommendations: Leverage automated analytics dashboards to convert data, trends and scenarios into clear options, decision-ready recommendations and practical interventions that support senior leadership decision-making.
• Strengthen financial discipline and controls: Ensure planning, reporting and appraisal activities comply with governance, control, assurance and financial reporting requirements.
• Partner across the business: Build trusted relationships with business leaders, finance colleagues and cross-functional stakeholders to align priorities, challenge constructively and influence better decisions.
• Enable digital and analytics transformation: Champion automation, self-service reporting, driver-based modelling, scenario planning and predictive analytics to improve speed, quality and efficiency of finance delivery.
• Develop capability and talent: Coach and develop team members, build future-ready FP&A capabilities and foster a learner mindset across business partnering, data, digital, analytics and process excellence.

Requirements

• Significant experience in financial planning, appraisal, performance management, business finance or related finance roles.
• Proven track record of partnering with senior business stakeholders to influence decisions and deliver measurable business outcomes.
• Strong understanding of financial statements, value drivers, planning cycles, forecasting, business case development and performance reporting.
• Experience leading teams or influencing cross-functional delivery through matrixed ways of working.
• Professional finance qualification, accounting qualification, MBA or relevant business/finance degree preferred.

What we offer

• Progress as a person as we work on the energy transition together.
• Continuously grow the transferable skills you need to get ahead.
• Work at the forefront of technology, trends, and practices.
• Collaborate with experienced colleagues with unique expertise.
• Achieve your balance in a values-led culture that encourages you to be the best version of yourself.
• Join an organisation working to become one of the most diverse and inclusive in the world.

Job Data by YubHub.