What You’ll Do

Lead executive discovery workshops with prospects and customers across Fraud, Credit, Compliance, Operations, Finance, and Risk teams
Uncover business pain points, operational inefficiencies, growth constraints, and strategic priorities that can be addressed through Oscilar's AI Risk Decisioning platform
Establish baseline performance metrics and success criteria used to quantify business outcomes and ROI
Serve as a trusted advisor to executive stakeholders including CFOs, CROs, Chief Compliance Officers, Heads of Fraud, and Operations leaders
Translate technical capabilities into business outcomes that resonate with executive decision-makers

Build customized ROI assessments, Total Cost of Ownership (TCO) analyses, value realization frameworks, and financial models for prospective and existing customers
Quantify business impact across fraud loss reduction, approval rate optimization, onboarding efficiency, operational cost savings, compliance automation, and revenue growth
Develop board-ready business cases that support investment decisions and accelerate enterprise buying cycles
Create scalable value calculators, benchmarking tools, and economic impact frameworks that can be leveraged across the revenue organization
Partner closely with Solutions Engineering and Sales to support strategic opportunities

Partner with Customer Success and Technical Account Management teams to ensure customers achieve measurable outcomes after deployment
Design and execute value realization programs that track performance against original business objectives
Produce executive business reviews highlighting realized ROI and strategic recommendations
Identify expansion opportunities by uncovering additional workflows and business units that can benefit from Oscilar
Support renewals and growth initiatives through documented proof of business value

Proficient using AI tools such as Claude, ChatGPT, Gemini, or similar platforms to accelerate research, financial modeling, data analysis, and executive presentation development
Leverage AI as a force multiplier to identify trends, uncover insights, and improve the speed and quality of customer-facing deliverables
Contribute to thought leadership content including benchmark reports, whitepapers, webinars, customer success stories, and industry research
Stay at the forefront of AI adoption trends, value realization methodologies, and emerging best practices within financial services

Synthesize insights across customer engagements to identify common challenges, emerging market trends, and opportunities for innovation
Partner with Product, Engineering, and Data Science teams to refine value frameworks and benchmark assumptions using real customer outcomes
Provide structured feedback that influences product roadmap priorities and go-to-market strategy
Serve as the voice of customer business outcomes across the organization

What You'll Bring

5+ years in management consulting, value engineering, strategic advisory, corporate strategy, business operations, or a similar customer-facing analytical role
Experience at a leading consulting firm such as McKinsey, Bain, BCG, Deloitte, Accenture, EY-Parthenon, Oliver Wyman, Kearney, or similar is strongly preferred
Demonstrated track record of building and delivering quantitative business cases, ROI models, and executive-level recommendations
Deep understanding of financial services operations, particularly fraud, compliance, AML, credit risk, payments, or underwriting
Strong financial modeling and analytical capabilities with advanced proficiency in Excel or Google Sheets
Experience with business intelligence and visualization tools such as Tableau, Looker, or Power BI
Comfortable working with data, performance metrics, and operational KPIs to support strategic decision-making
Hands-on experience using LLMs and AI tools for practical problem solving, research, analysis, and content development
Strong executive presence with the ability to influence senior stakeholders and facilitate strategic discussions
Ability to operate independently in a fast-moving startup environment where ambiguity is high and ownership is expected