Toronto, Ontario, Canada
As a certified Prince2 Project Manager, I’ve led complex, cross-functional projects within regulated industries like pharmaceuticals and lifesciences. I specialize in managing full project lifecycles, with extensive experience in system delivery projects—including systems, data, processes, and people. I excel at balancing scope, schedule, risk, and stakeholder alignment across global teams, leveraging tools like Jira, Smartsheet, Microsoft Project, Confluence and Miro to ensure project success. Experienced in leading cross-functional teams and managing vendor, consultant, and strategic partner relationships to deliver projects on time and with high quality. Adept at ensuring regulatory compliance, identifying opportunities for process improvement, and driving innovation through strategic recommendations. Professional & Leadership Skills • Regulatory Technology Leadership – Led projects in regulated industries, ensuring compliance with pharmaceutical and Lifesciences affairs processes. • Cross-Functional Team Leadership – Managed distributed teams across IT, business, and vendor organizations to deliver on time, on scope, and on budget. • Stakeholder & Vendor Management – Liaised between Business System Owners, Product Owners, and Technology Owners to align technical solutions with business needs. • Strategic Planning & Execution – Developed and executed project charters, RAID logs, and roadmaps, balancing scope, schedule, risk, and quality. • Process Improvement & Automation – Designed AI driven solutions that reduced manual workload by 65%+ through automation of regulatory structured/unstructured document processing and Gen AI document intelligence. • Performance & Quality Assurance – Oversaw performance testing, validation, and IT security assessments, ensuring system reliability and regulatory compliance. • Change & Risk Management – Implemented IT Change Controls, coordinated regulatory risk assessments, and maintained business continuity. • Training & Knowledge Transfer – Designed and delivered technical training, workshops, and documentation to ensure smooth adoption of new systems and processes.
Aggregate Intellect (delivering the WatSPEED Language Models program for the University of Waterloo). Key Contributions: · Co-designed and co-authored the University of Waterloo WatSPEED Language Models course, covering applied LLMs including transformer architectures, embeddings, fine-tuning, evaluation, RAG, semantic search, multimodal systems, and production-ready AI workflows aligned with industry requirements. · Developed and delivered hands-on technical content, including 8 end-to-end notebooks and implementations using Claude Code, GitHub, and Google Colab, covering prompting strategies, model evaluation, deployment workflows, and modern LLM application development practices, enabling a cohort of ~48 practitioners to build and ship production-style Gen AI applications. · Led project-based learning and student mentorship, guiding learners from conception through design, implementation, and public deployment of AI applications, including a reference LLM system (AllerChef) for personalized, allergy-aware recipe generation using RAG-based techniques. Try it here: https://huggingface.co/spaces/MohamedBIqbal/AllerChef
• Entered a career transition following organizational restructuring and role elimination, and subsequently combined structured upskilling in applied AI system design with hands-on development of production-style agentic AI solutions focused on enterprise RAG, multi-agent orchestration, and evaluation-driven LLM architectures. • Built and refined end-to-end agentic AI systems aligned with real-world enterprise workflows, emphasizing retrieval-augmented architectures, observability, and reproducible evaluation patterns suitable for production-style validation and technical demonstration scenarios, as demonstrated in the Added Project GxRAG solution.
· Gen AI & Intelligent Automation o Owned discovery, requirements, and evaluation design for a Gen AI Document Intelligence (RAG) initiative, translating clinical/regulatory use cases into technical design and defining an SME-driven, pass/fail evaluation approach for grounding and accuracy (program reached research/pre-validation). o Built a Python document-extraction pipeline (Apache Tika + Tesseract OCR + regex) processing ~8,000 records (~40,000 mixed PDF/Word/email/zip documents), extracting dates and key fields into structured Excel/SharePoint output. o Delivered it in a multi-vendor partnership with a life-sciences consultancy (stage 2 of a parallel data-enrichment and migration program), cutting a planned 4-month, 6-person manual task to ~1 month (~25% project-cost savings) and de-risking the migration timeline via confidence-tiered automation (48% auto-matched, 15% surfaced as multi-candidate matches for human verification, remainder routed to SME review); recognized for innovation and cross-vendor collaboration. · Governance, Compliance & Delivery o Managed delivery of the data-enrichment project, owning task allocation, RAID-log tracking of risks/issues/dependencies, and preparing highlight and checkpoint reports surfaced to the client-side Data Council (presented via senior management), and built the OCR automation (above) within it. o Led ongoing data governance for one of four applications in the migration program (GxP, FDA 21 CFR Part 11, EMA Annex 11), applying ALCOA+ and FAIR principles with continuous monitoring, and onboarded a new market into the SaaS Global Vault with cross-functional stewardship. o Drove client enablement and stakeholder communication, delivering presentations and user training (xAPI/SCORM-compliant) to support adoption of new tooling.
· Served as customer-facing SME for the OpenText Documentum Life Sciences Suite, advising 3 dedicated pharmaceutical accounts (plus 2 as backup) across multiple geographies, aligning their IT roadmaps with the product roadmap to help them maximize business value from the platform. · Guided customers through cloud modernization, migrating legacy on-prem Documentum Life Sciences Suite deployments to public cloud (Azure, AWS, GCP) and containerized, cloud-native architectures on Kubernetes, improving reliability, scalability, and accessibility. · Enabled customer cloud deployments of the Documentum Life Sciences Suite using bundled and custom Helm charts, collaborating with product management and engineering to standardize and tailor configurations, and built reusable, version-specific lab environments on internal cloud that the team spun up on demand for pre-sales demos and testing. · Integrated enterprise SSO/identity, SAML- and Kerberos-based, via OpenText OTDS and direct SSO integration with IAM providers (OKTA, PingID, MS ADFS), and partnered with a performance-engineering SME on scripts to profile RPC and product API calls, diagnosing performance issues and crashes and saving the engineering team triage time. · Established and led twice-weekly Documentum Life Sciences Suite coach meetings for a global team of 25–50 (recorded to Confluence). The forum grew influential enough that product managers used it to announce releases and run team Q&A. · Delivered technical brownbag sessions on SSO, Docker, Kubernetes, and Helm, and, as a top KCS contributor, authored several of the most used knowledge base articles.