Executive advisory & pre-sales
C-level advisory, RFP and RFI leadership, proposals, value propositions and preferred-vendor wins.
19 contributions across 2 experiences
Where this skill was applied
- Gavi, the Vaccine Alliance2026 · not applied
- EPAM Systems2024–2025 · 10 contributions
- Solara282025–2026 · not applied
- DSM-Firmenich2019–2024 · 1 contribution
- Fair Trade Handels2018 · not applied
- Nespresso (Nestlé)2013–2018 · not applied
- United Nations2012–2013 · not applied
- United Nations CGIAR2002–2011 · not applied
- CapodannoRoma, Helloitaly & Radio&Data Communications1994–2006 · not applied
Often together withData Strategy for AIAI governance, risk & regulatory complianceInnovation & change managementGenerative AI & LLM solutionsCloud & multi-tenant SaaS platformsTeam leadership & talent development
2024–202510 contributions
EPAM Systems
- Led the technical response to a Tier-1 Swiss bank’s enterprise AI RFI — structured on business value; technology, security and compliance; and people, operating model and governance — later reused as the technical core of a second pursuit with the same bank and the engagement behind EPAM’s preferred-vendor status.
- Coordinated the proposal for a bank-wide Generative AI blueprint mapping 35 prioritised use cases across all seven divisions of the bank over six enabling layers: AI strategy, legal and compliance, data and security, technical architecture, responsible AI and workforce enablement.
- Contributed the AI and data proposition to a growth proposal for the bank’s China digital wealth platform (200,000+ users in two years, in a market where over 80% of wealth management is domestically held): a gamified paper-trading experience with a graduated three-tier conversion model, disclosure design and an explicit Chinese gaming-regulation risk assessment.
- Spearheaded the global expansion of EPAM’s Data & AI practice across EMEA, North America, APAC, LATAM and CIS, defining strategic direction for AI, Generative AI and Agentic AI, and led client engagements and pre-sales across banking, government services, logistics, consumer goods, biopharma, chemicals, telecommunications, energy and industrials.
- Extended the proposition to generative AI in prudential and regulatory reporting (proposal scope, not delivered).
- Major US county government: as principal AI/GenAI expert, spearheaded the response to an RFP for enterprise-wide AI and automation services — designed the global delivery model, defined the AI Factory approach and translated requirements into modular solutions for GenAI, automated document processing and operational decision support.
- Directed engagements in data engineering and cloud platforms, defining enterprise data-platform strategies on Snowflake, BigQuery and Synapse and advising on data contracts, service tiering and pipeline monitoring.
- Leading telecom operator, Africa: co-led the RFP response on enterprise AI/GenAI strategy, developing a target-state federated AI architecture, AI Factory delivery capabilities and a GenAI integration roadmap.
- Prepared AI, data and analytics platforms for internal audit, client assurance, regulatory review and quality inspections with evidence repositories, control matrices, validation records and governance documentation.
- Introduced AI FinOps to monitor and optimise cloud spend, GPU consumption, token usage, model routing, embedding costs, vector-store capacity and cost-to-serve by product or client.
2019–20241 contribution
DSM-Firmenich
- Managed a cross-disciplinary team of data scientists, PhD students, contractors and cloud developers (15+ FTEs), delivering commercial and R&D projects with over €70 million in projected value, recognised by DSM’s scientific community and leadership; nurtured international R&D partnerships with client partners up to C-level.
Profile6 contributions
Across the career
- Leads strategic client engagements from discovery and solution scoping through architecture, value proposition, proposal development and executive presentation, combining pre-sales acumen with client relationship management.
- Advises C-level stakeholders on AI investment, data strategy, technology choices, operating models and transformation priorities.
- Authors and coordinates RFP and RFI responses for complex enterprise AI, data, cloud and digital-transformation opportunities.
- Leads multidisciplinary teams through complex transformations involving business stakeholders, technical specialists, partners, contractors and executive sponsors.
- Brings experience in R&D innovation, stakeholder management, partnership development, programme management, project management and executive decision support.
- Advises C-suite and senior leadership on data governance, AI, agentic AI operating models and workforce transformation, and mentors executive teams moving towards data- and AI-led organisations.
Skills2 contributions
Skills & applied knowledge
- Fifteen-plus years of people management, executive management, organisational leadership and cross-functional stakeholder management, including at UN organisations and DSM-Firmenich.
- Strong communication and presentation skills: technical evangelist with international keynotes and publications, communicating complex AI, data, investment and risk topics clearly to executive committees, boards and senior stakeholders.
All skills
Artificial intelligence
AI governance, risk & regulatory compliance 81Machine learning, deep learning & MLOps 53Data Strategy for AI 44Generative AI & LLM solutions 43Agentic AI & AI-native engineering 29
Architecture & data platforms
Solution & enterprise architecture 62Data architecture, engineering & governance 54Semantic engineering & knowledge management 50Cloud & multi-tenant SaaS platforms 41
Leadership & business
Innovation & change management 42Team leadership & talent development 31Business value & financial management 29Programme, project & vendor management 27Executive advisory & pre-sales 19Entrepreneurship & venture building 13
Product, marketing & communication