Project Manager – Digital Transformation (Data & AI, Oil & Gas)

Project Manager – Digital Transformation (Data & AI, Oil & Gas) 

(Category – Project Manager)

Sector: Oil and Gas

Location: Doha, Qatar

Company Overview:

At Codvo, software and people transformations go hand-in-hand. We are a global empathy-led technology services company. Product innovation and mature software engineering are part of our core DNA. Respect, Fairness, Growth, Agility, and Inclusiveness are the core values that we aspire to live by each day.

We are a leading oil and gas company in the midst of an ambitious Digital Transformation 

Job Description:

We are seeking highly skilled Project Manager to lead our digital transformation initiatives across the organization. This role is central to driving efficiency, unlocking business value, and embedding innovation by leveraging Data, AI, and modern cloud technologies. You will oversee the planning, execution, and delivery of transformation projects, ensuring alignment with business goals, regulatory requirements, and the unique operational demands of the oil & gas industry.

Key Responsibilities

Program & Project Delivery

o            Lead end-to-end project management for digital transformation initiatives, from scoping and business case development to execution and benefits realization.

o            Establish clear project charters, structured project plans, and KPIs to track outcomes, not just outputs.

o            Apply Agile project management methodologies for effective scheduling, resource planning, and milestone delivery.

o            Manage cross-functional teams spanning IT, OT, data science, cloud engineering, and business stakeholders.

Digital & Data Transformation

o            Drive initiatives leveraging Azure (primary), with supplementary work in Google Cloud and SAP ecosystems.

o            Oversee projects involving Databricks, AI/ML, advanced analytics, and data platform buildouts.

o            Drive end-to-end business analysis and lead the execution of solution delivery, translating complex business needs into clear actionable requirements and overseeing the implementation to ensure realization of expected business value and solution adoption.

o            Possesses strong communication and stakeholder management capabilities to effectively engage executive leadership, cross-functional teams, and external vendors driving alignment, influencing outcomes, and leading timely, high-quality decisions-making throughout the project lifecycle.

Stakeholder Engagement

o            Partner with business leaders, engineers, and AI specialists to translate operational challenges into scalable digital solutions.

o            Communicate complex technology initiatives in business terms for executive stakeholders.

o            Manage organizational change to ensure adoption across technical and non-technical teams.

Governance & Compliance

o            Ensure projects align with industry regulations, HSE standards, and data security requirements.

o            Establish governance frameworks for AI and data initiatives, balancing innovation with risk management.

Value Realization

o            Translate transformation outputs (dashboards, models, workflows) into measurable business outcomes (efficiency gains, reduced downtime, safety improvements).

o            Monitor ROI and continuously refine project portfolios based on impact.

Required Skills & Experience

•            Project Management Expertise: 10+ years of experience leading large-scale digital transformation projects, with formal PM qualifications (PMP, PRINCE2, or equivalent).

•            Methodology: Strong background in Agile delivery, including scheduling, dependency management, and milestone tracking.

•            Oil & Gas Industry Knowledge: Familiarity with upstream, midstream, or downstream processes, including exposure to OT data (SCADA, historians, WITSML, Petrel).

•            Cloud & Data Platforms: Proven experience managing projects in Azure, with working knowledge of GCP and SAP integrations. Familiarity with Databricks is essential.

•            AI & Data Literacy: Understanding AI/ML workflows, RAG, knowledge graphs, and data engineering concepts in enterprise settings.

•            Stakeholder Management: Demonstrated ability to engage executives, technical teams, and field operations in complex change programs.

•            Delivery Track Record: Strong background in managing budgets, risks, and schedules in highly regulated, safety-conscious industries.

Preferred Skills

•            Experience in data governance frameworks and AI ethics in industrial settings.

•            Familiarity with multi-cloud deployments and hybrid architectures.

•            Strong business acumen, with the ability to tie technology investments to commercial value.

.