Ma'aden
Manager, Data & AI Portfolio & Project Management
Riyadh, Saudi ArabiaPosted 4 weeks ago
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- Salary
- AED 12k–18k a month· est.
- Job type
- Full time
- Level
- Lead
- Field
- Executive & Management
- Work mode
- On site
About the role
Maaden, established in 1997, is one of the fastest-growing mining companies in the world and the largest multi-commodity mining and metals company in the Middle East. We are leading the development of the mining industry to become the third pillar of Saudi Arabia’s economy by building a world-class, unique, and fully integrated mining value chain. We are pleased to share an exciting opportunity for the below mentioned position. This role offers a chance to contribute to our ambitious growth and play a key part in shaping the future of mining in the Kingdom. What You Will Deliver Lead Portfolio Strategy and Governance - Establish and operate the Data & AI portfolio-management framework. - Define governance cadence, decision rights and stage gates. - Maintain an enterprise view of demand, priorities, investments and capacity. - Provide decision-ready recommendations on sequencing and corrective actions. Direct Program and Project Delivery - Oversee Data & AI programs and initiatives from intake through closure. - Set standards for planning, reporting, risk management and change control. - Intervene on critical delivery exceptions and coordinate resolution. Manage Performance and Value - Define portfolio KPIs and oversee dashboards, forecasts and executive reporting. - Track commitments, benefits, adoption and realized value. - Lead portfolio reviews and ensure decisions and actions are implemented. - Identify material risks, dependencies and resource constraints. Enable Business Operations - Coordinate budget, resource planning and procurement support for the portfolio. - Oversee vendor-delivery coordination and performance visibility. Build Capability and Partnerships - Develop portfolio and delivery-management capability. - Build effective partnerships across business and Technology & Innovation. - Promote consistent standards, continuous improvement and accountable delivery. What Success Looks Like - Portfolio priorities aligned with strategy, value, risk and capacity. - Timely and reliable visibility of delivery performance. - Consistent governance and delivery standards across initiatives. - Active management of risks, dependencies and resource constraints. - Demonstrable business outcomes, adoption and value realization. - A trusted portfolio and project management partnership across the enterprise. Minimum Qualifications - Bachelor’s degree in engineering, computer science, information systems, business, or related discipline. Experience - 10+ years of portfolio, program or project management experience, including leadership responsibility. - Experience governing Data & AI portfolios, teams, budgets and vendors. Skills That Matter - Portfolio strategy and prioritization - Program and project governance - PMO leadership - Financial planning - Resource planning - Benefits and value realization - Executive decision support - Enterprise risk management - Dependency management - Vendor management - Stakeholder influence and negotiation - People leadership and capability building Benefits 1. Career Growth 2. Competitive Salaries 3. Comprehensive Package 4. Inclusive Work Environment 5. Work-Life Balance 6. Employee wellness
Requirements
- Bachelor's degree in Geoscience, Petroleum Engineering, Computer Science, Information Systems, Data Management, or a related discipline.
- 10–15 years of relevant experience in exploration, subsurface, petroleum development, data management, or digital transformation environments.
- Demonstrated experience in data governance, data domains, master data, or enterprise data management frameworks.
- Experience leading cross-functional data initiatives and delivering business-focused data solutions.
- Experience working within large-scale energy, mining, natural resources environments.
Responsibilities
- Shape and execute the Exploration & PDE data domain strategy aligned with enterprise data and digital objectives.
- Establish a scalable data domain framework that improves data accessibility, usability, and business value.
- Drive prioritization of data initiatives that support exploration, evaluation, and resource development objectives.
- Strengthen governance practices that ensure data integrity, consistency, ownership, and regulatory compliance.
- Deliver measurable improvements in data quality through standards, controls, and stewardship processes.
- Govern critical data assets across their lifecycle to improve reliability and reduce operational risk.
- Lead the development and enhancement of data products that enable operational and strategic decision making.
- Increase adoption of trusted data assets across technical and business functions.
- Translate business requirements into scalable data solutions that generate measurable business outcomes.
- Provide expert guidance on exploration, geological, geophysical, drilling, reservoir, and subsurface data management practices.
- Influence enterprise data architecture decisions to improve interoperability and domain integration.
- Promote industry-leading practices, technologies, and methodologies across the data ecosystem.
- Build strong partnerships between business functions, digital teams, and external partners to align priorities and outcomes.
- Facilitate effective decision making through clear data ownership, accountability, and governance structures.
- Strengthen collaboration across domains to improve enterprise-wide data consistency and effectiveness.
- Accelerate the adoption of advanced analytics, automation, AI, and digital capabilities through high-quality domain data.
- Identify opportunities to optimize processes, reduce manual effort, and improve data lifecycle efficiency.
- Foster a culture of continuous improvement and data-driven performance.
Skills
- Portfolio strategy and prioritization
- Program and project governance
- PMO leadership
- Financial planning
- Resource planning
- Benefits and value realization
- Executive decision support
- Enterprise risk management
- Dependency management
- Vendor management
- Stakeholder influence and negotiation
- People leadership and capability building
- Data governance
- Data management frameworks
- Cross-functional data initiatives
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