Developing AI-driven strategies to support business value
Identifying opportunities for impactful AI, analytics, and automation within the business
Quantifying full value-at-stake from AI solutions, incorporating all possible value levers, and detailing the critical dependencies to capture full value
Bringing together expertise in AI, data engineering, solution architecture, and relevant business domains to design fit-to-purpose AI solutions to business problems
Translating ambitious North Star visions into executable plans, building alignment among relevant executives and business stakeholders on timing and delivery
Achieving maximum scale from AI solutions by proactively identifying and addressing barriers to scale and generalizing solutions to multiple applications
Enabling rapid and iterative delivery of AI solutions with consistent value creation
Partnering with AI and ML engineering leaders to manage versioning, iteration planning, and solution delivery, creating transparency for business stakeholders and proactively mitigating delivery issues
Building productive relationships with key business stakeholders to help them co-own the AI solutions, enabling the business to provide feedback and guidance at all stages of development
Bringing business expertise and focus on value capture to AI problem-solving during development, helping the team to maximize impact and minimize unnecessary complexity
Augmenting our business stakeholders’ teams with AI and change management expertise, helping them to realize maximum value from AI solutions
Advancing our innovative operating model for AI teams
Leading in interactions with AI and ML engineering teams to develop and codify more effective ways to AI and strategy teams to collaborate
Documenting knowledge, creating templates, and authoring playbooks to help the team scale
Conducting peer training and authoring thought leadership along with other members of the team to augment the full team’s skills
Developing new delivery frameworks and helping the team build new service offerings
Requirements & Skills:
7+ years of experience using data to answer complex business questions and develop practical solutions.
Proven track record of influencing cross-functional teams to deliver measurable business impact
Experience leading the creation and execution of technology strategies, preferably in the AI, analytics, BI, or automation domains
Strong communication, executive presentation, and relationship-building skills
Familiarity with large data sets, statistical analyses, machine learning models, and data visualization
Intuitive knowledge of core data science concepts, including solution types, trade-offs, complexity and scale constraints, and model evaluation frameworks
Hands-on experience with SQL and business intelligence tools preferred
Hands-on experience with an analytical scripting language such as Python or R preferred
Experience leading quantitative problem-solving with business and analytics stakeholders
Understanding of world-leading Agile and technology business management practices
Demonstrated ability to balance the delivery of projects against the realities of a budget; and problem-solving, project management, and creative resourcefulness
Experience in the payments domain preferred
Bachelor’s degree or higher in computer science, engineering, or physical sciences, or equivalent work or education-related experience. A master’s or other advanced degree strongly preferred
