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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in AI/ML product strategy and management within the financial services and procurement sectors, with a strong focus on developing impactful AI solutions and maintaining compliance with financial controls. Proven ability to translate complex business problems into actionable AI initiatives while collaborating with senior leadership to secure funding and drive measurable outcomes.
Highest-signal resume keywords
AI/ML Product StrategyFinancial Operations ExpertiseSOX Compliance KnowledgeStakeholder AlignmentPrototyping and Decision Frameworks
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI Initiative DeliveryOpportunity SizingRoadmap DevelopmentPrototypingSpend AnalyticsInvoice ProcessingSupplier PaymentsData Evaluation PatternsFinancial ControlsAudit Evidence
Soft Skills
Influencing Engineering TeamsCommunication with Executive LeadershipChange Management CommitmentBuilding Sponsor CoalitionsProblem Framing
Tools & Technologies
SAPAribaCoupaAccounts Payable Automation ToolsDigital WorkersAgentic SystemsLLMsCommand Line Automation
Industry Keywords
PharmaLife SciencesFinancial ServicesProcurementRegulatory ComplianceGxPThird-Party Due DiligenceSegregation of DutiesSupplier RiskTax Requirements
About the role
Key responsibilities & impact- Hunt for high-value AI opportunities across Global Financial Services and Procurement
- Develop a global portfolio of AI products ranked by impact, feasibility, and time-to-value
- Build rigorous business cases covering cost-to-serve, cycle time, touchless processing, working capital, spend under management, and savings
- Develop domain pattern recognition across source-to-pay and financial operations workflows
- Maintain the Enterprise AI opportunity portfolio and rationale for prioritization decisions
- Make resource trade-off recommendations and protect engineering focus
- Translate ambiguous business problems into problem statements, prototypes, success metrics, and decision frameworks
- Shape engagements end-to-end, including scope, success criteria, exit conditions, and scaling pathways
- Identify reusable capabilities and platform leverage opportunities
- Design the human-digital split and evaluation and oversight model for AI solutions
- Build SOX and financial controls, segregation of duties, audit evidence, third-party due diligence, and sanctions screening into solutions
- Partner with senior finance and procurement leaders to create fundable AI engagements
- Build sponsor coalitions and secure data access and change-management commitment
- Communicate impact to executive leadership and the board
- Define Enterprise AI value-realization frameworks
- Run post-mortems and feed learnings into opportunity selection and engagement design
- Continuously refine GSK’s AI investment thesis
Requirements
What you’ll need- 15 or more years of professional experience across pharma/life sciences, AI/ML product strategy, and product management or strategy roles in technology-led organizations
- Track record of taking at least one technology or AI initiative from problem framing through executive funding and into delivery
- Direct involvement in source-to-pay or financial operations, including sourcing and contracting, purchase-to-pay, invoice processing, supplier payments, travel and expenses, order-to-cash, or record-to-report
- Hands-on work with modern AI/ML concepts, including LLMs, agentic systems, digital workers, the ML lifecycle, and data and evaluation patterns, demonstrated through prototyping
- Prior experience operating as an individual contributor without direct reports and influencing engineering and business teams through frameworks and documented decision criteria
- Background in product management or product strategy, including opportunity sizing, roadmap development, prototyping, and stakeholder alignment
- Working knowledge of systems and data behind spend and transactions, such as SAP, Ariba or Coupa, invoice capture and accounts payable automation tools, and spend analytics
- Knowledge of supplier master quality, purchase order compliance, and duplicate or inconsistent records across systems
- Track record of identifying AI value in high-volume transactional and commercial work
- Working knowledge of financial control and compliance requirements, including SOX, segregation of duties, audit evidence, anti-bribery and third-party due diligence, supplier risk and sanctions screening, and tax requirements on transactions
- Direct involvement partnering with senior finance and procurement leadership to turn transformation priorities into funded, measurable AI or technology programs
- Preferred: experience in forward deployed engineering, applied AI, or AI lab/COE roles at a pharma, healthcare, or comparable regulated enterprise
- Preferred: background in management consulting, value engineering, or corporate strategy with hands-on technology experience
- Preferred: experience navigating GxP, regulatory, and data-governance requirements in pharma AI deployments
- Preferred: experience codifying product management and user research practices into AI-native tools and using the command line to automate daily work
Benefits
Comp & perks- Annual bonus
- Eligibility to participate in share-based long-term incentive program
- Health care and other insurance benefits for employee and family
- Retirement benefits
- Paid holidays
- Vacation
- Paid caregiver/parental and medical leave
- Accommodation or other assistance to apply for a job