Senior Manager – Investment, PLM & Document Intelligence Platforms

To own the end-to-end digital thread from deal origination to asset performance, together with the document-intelligence layer that turns Masdar’s contracts, engineering records, and due-diligence files into structured, decision-ready data — enabling “Documents → Data → Insight → Financial Decision.” Also serves as the product owner and execution lead for Masdar’s investment lifecycle and product lifecycle management platforms, spanning deal origination through asset performance.

Key Accountabilities : 

• Own the end-to-end platform portfolio across investment planning, engineering design, permitting, tendering, project execution, asset and pipeline management.
• Own enterprise document and contract-lifecycle platforms (Legal / CLM, engineering document control, M&A and due-diligence documentation).
• Define and maintain a single product roadmap aligned to business priorities, treating the investment lifecycle and its supporting documents as one digital thread.
• Ensure compliance, traceability, and governance across the transactional platforms and the document estate.
• Deploy AI-driven document workflows: ingestion of structured and unstructured data, extraction of key financial and legal fields, normalization, classification, summarization, and reasoning.
• Enable Human-in-the-Loop approvals and agent-to-agent orchestration across enterprise systems.
• Partner with Domain Architecture, Infrastructure, and Security to ensure agent identity and guardrails as workflows scale.
• Deliver platforms providing portfolio visibility, capital allocation insight, and scenario modeling for investments.
• Enable M&A due-diligence workflows, capital planning and approvals, project / construction tracking, and asset / portfolio performance.
• Partner closely with Finance, Investment, and M&A teams to connect document evidence to capital decisions.
• Integrate across ERP core (SAP / Oracle), procurement, asset management, document management, and EPC / O&M source systems.
• Build the enterprise-wide knowledge layer for a unified, origination-to-operations view.
• Lead Agile delivery through system integrators and SaaS vendors with structured release cycles and continuous improvement.
• Deliver operational and portfolio reporting via SaaS-native tooling and Power BI; partner with the AI Products & Analytics Platforms team for advanced insight.
• Manage system integrators, SaaS/ERP vendors (e.g., IFS, SAP, Oracle), Microsoft ecosystem partners, and AI vendors.
• Enforce SLAs, KPIs, and business outcomes; apply FinOps-style cost discipline on platform and AI spend.