Project Manager with AI Projects

Roles and Responsibilities:

Project Managers plan, execute, and control a project or set of related projects adhering to the Shell Project Delivery Framework (PDF) methodology and other standards at a scale of up to $5M, and with up to 20 team members, with the objective to meet identified business requirements and deliver business value, through acquiring and utilizing the necessary resources and skills, within agreed parameters of cost, timescales, risk, quality and benefits. This requires: Program and project delivery skills in both agile and waterfall methodologies including effective Change Control, Risk Management and Reporting, setting up and executing Project Governance, and managing Programme Leadership and the wider Project Natural team; Domain knowledge and skills, such as Chemicals, Deepwater, Retail, Finance, Legal, HR, and Capital Project lines of business and functions; Technology skills, such as cloud, mobile, software-as-a-service, digital platforms, ERP, web-based application, networking, workplace productivity, compliance or cybersecurity; Professional skills, such as leadership (by building and leveraging relationships with senior sponsors, the Programme Manager, and key stakeholders in particular those in the governance of the project), communication and resilience (both of oneself, and by motivating, leading and supporting the project or workstream team through periods of uncertainty, while managing pressure so that they can delivery successfully).

 

Mandatory skills:

PM certification. Waterfall & Agile, Cloud, mobile, SAS, digital. Vendor Management, Governance, Project management, Scoping & budgeting, planning & Tracking, assurance & compliance, Risk Assessment & Management, Stakeholder Management, Financial skills, Presentation skills, Domain knowledge.

 

Optional skills:

Degree. 10+ years in IT with 5+ years delivering progressively larger and more complex projects up to $5m, teams up to 20. Communication and resilience. Story telling, Entrepreneurial skills.

 

Portfolio: Shell IDT/IGU IDT/SEAT/Information, Data & Analytics (IDA)/Engineering & Master Data Platforms/DQInsight

Program:

Project: SEAM_DQInsight Development/Maturation (AI and non-AI)

Description: This investment is critical for expanding DQInsight product capabilities to support BEW, AoTF and ADC initiatives with advanced analytics, AI recommendations, and data quality automation.

Scope includes:

1. Additional integrations with connected applications - Aveva AIM-A

2. New capabilities to support Projects data validation - Universal Tag parser, Attributes level validation, Project workspace, concurrent users and real-time validations

3. Add new data source to mapping review interface - 3D, Assai

4. Support DT DQ issues visualisation and readiness for BEW rollouts

5. Embedding DQInsight deeper into asset workflows.

6. Workflows - Delegation, notifications,

 

AI recommendations 2026 roadmap

https://sede-sc.visualstudio.com/bCLEARer/_workitems/edit/580997

 

Phase 1

• With the help of an AI recommender solution, DQInsight would suggest the exact solution to a DQ inconsistency record, based on the learnings from the existing database of resolutions applied for similar data.

• User can accept the recommended resolution or choose from alternative options suggested.

• In case the suggestions aren't relevant, user can reject the options and update the record manually.

• All the above inputs would be incorporated as feedback for learning of the underlying Machine Learning model. This will help improve subsequent recommendations to users for higher accuracy.

 

Rollout at a Pilot asset by April 2026.

Expand to all live assets by Sep 2026.

 

 

Phase 2 (following Phase 1 rollout at assets)

In the next stage, once the correction is accepted, a smart automation (AI agent) can be triggered by the relevant persona (human in the loop) to write back the data cor| Project Management, Project Governance, Project Assurance & Compliance"

Project Manager-ADM