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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading data and AI initiatives within the financial services sector, focusing on client engagement, strategic relationship management, and the development of tailored value propositions. Proven ability to mentor teams and drive go-to-market strategies that maximize AI investments and transformation journeys.
Highest-signal resume keywords
Data & AI Subject-Matter ExpertiseFinancial Services Sector ExperienceClient Relationship ManagementGo-To-Market Strategy DevelopmentTeam Leadership and Mentoring
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ScienceArtificial IntelligenceMachine Learning FrameworksConsulting Services Pipeline DevelopmentAnalytical Problem-Solving
Soft Skills
Excellent Communication SkillsPresentation SkillsInterpersonal SkillsNegotiation Skills
Tools & Technologies
AWSAzureGoogle Cloud
Industry Keywords
Financial ServicesBankingInsights & DataAI InvestmentsC-Level Relationship Management
Tech Stack
Tools & technologiesAWSAzureCloud
About the role
Key responsibilities & impact- Lead the evolution of Capgemini’s Financial Services business in Australia and New Zealand
- Shape AI deals and understand client demands to maximize market value, impact, and innovation
- Act as the key leader and representative of the Insights & Data business line with financial services clients
- Provide data and AI subject-matter expertise and innovation to client engagements and programs
- Inspire and educate clients and internal teams on data and AI trends and technologies
- Build and maintain strategic relationships with technology partners and key stakeholders
- Advance Capgemini’s AI and Data brand through media and public speaking
- Build and nurture trusted enterprise-client relationships as a strategic advisor
- Help clients maximize the value of AI investments and transformation journeys
- Define and execute the Data & AI go-to-market strategy for Financial Services
- Own go-to-market and pipeline activities for Insights & Data in the Financial Services sector
- Partner with industry leaders to develop proofs of value demonstrating Capgemini’s capabilities
- Create tailored data and AI value propositions with business development executives
- Mentor, coach, and develop Data & AI pre-sales professionals
- Develop a talent acquisition strategy for Data & AI professionals in Financial Services
Requirements
What you’ll need- Bachelor’s or master’s degree in computer science, Business, Data Science, Artificial Intelligence, or a related field
- At least 10 years’ experience in technology services or consulting, focused on data and AI solutions
- Strong background in financial services and banking is mandatory
- Experience building a pipeline of consulting services, focused on outcomes
- Proven ability to lead onshore and offshore teams with a track record of producing client outcomes
- Excellent communication, presentation, interpersonal, negotiation, and client-facing skills
- Experience developing and pitching client value propositions
- Strong analytical and problem-solving abilities
- Ability to work effectively in a fast-paced, dynamic environment
- Strong understanding of the Data & AI market
- Sales, account management, or delivery experience in Consulting, IT Services, Digital, or Cloud
- Experience working in large consulting companies across geographies and cultures
- Strong financial services sector/domain experience and broader information technology capabilities aligned to financial services
- Experience with AI and machine learning frameworks
- Experience with AWS, Azure, or Google Cloud
- C-level relationship management experience
Benefits
Comp & perks- Flexible work arrangements, including remote work and flexible work hours
- Career growth programs and diverse professional opportunities
- Certifications in technologies such as AWS and Microsoft Azure
- Safe and inclusive work environment
- Staff-led community groups
- Support with disability access requirements and hiring-process adjustments