We Are:

In Consulting we work with C-suite executives, leaders and boards of the worlds leading organizations, helping them reinvent every part of their enterprise to drive greater growth, enhance competitiveness, implement operational improvements, reduce cost, deliver sustainable 360 stakeholder value, and set a new performance frontier for themselves and the industry in which they operate. Our deep industry and functional expertise are supported by proprietary assets and solutions that help organizations transform faster and become more resilient.

Our Finance AI and Data Strategy practitioners work to create and execute an organizations business strategy for Finance AI and Data transformation including: defining a compelling industry & Finance function vision, creating value & ROI models, architecting a clients Finance AI talent strategy, ecosystem partnership approaches, creating scalable operating capabilities, envisioning best-in-class business/technology architecture & roadmaps. Use scaled agile disciplines to transform a clients business and Finance function by sequencing the delivery critical data elements, data products and feature functionality.

As a Finance AI & Data Strategy Consultant, you will:

• Shape vision and create opportunities for AI, GenAI and data led business reinvention.

• Build client relationships and credibility as a trusted advisor on how to infuse AI, GenAI and data into the business processes and Finance capabilities

• Define and structure an organizations AI and data strategy to build and optimize data assets, AI technologies for growth & competitive advantages.

• Assess maturity of an organizations AI and Data strategy, talent, operating model, ways of working and data foundation

• Define building blocks required to convert to an AI-first organization, including technology and AI platform blueprint, data strategy and future-ready operating model.

• Create the business case, investment profile and roadmap to deliver on the strategy (including revenue upside as well as cost-takeout opportunities).

• Infuse Responsible AI in vision and roadmap, develop plan for leveraging ecosystem partners, and define operating model to foster a culture of innovation and experimentation.

• Identify people, processes, and technologies to develop and operationalize AI solutions.

• Create strategy for AI-first products and develop commercialization opportunities.

Ability to travel up to 80%; travel as needed based on client expectations.