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Cencora · 1 day ago

AI Technical Product Manager II (Finance/FP&A Operations)

United States

Full-time

Remote

Senior Level

7+ years exp

Cencora is an innovative company focused on creating healthier futures. They are seeking a Technical Product Manager specializing in AI Solutions to drive the development of generative AI products within the finance and risk management operations, collaborating with cross-functional teams to deliver impactful AI-enabled tools.

Emergency MedicineEnterprise SoftwareHealth CareMedicalPharmaceutical

Responsibilities

Build and maintain strong relationships with business partners and the broader IT organization to deliver impactful AI solutions

Conduct analysis and gather insights to identify and prioritize high-value use cases for AI-enabled tools

Advise and consult stakeholders on build vs buy decisions, employing a strategic, data-driven approach to decision-making

Collaborate with the team to define product goals, align with business priorities, and ensure product roadmaps reflect stakeholder needs

Develop detailed product requirements documents (PRDs), write user stories, and create functional specifications to guide the development of AI-driven business solutions

Oversee the creation of test plans, perform system integration testing, validate test results, and address any issues during testing phases

Work closely with end users to optimize product adoption, provide training, and offer support for prompt engineering and tool usage

Create, test, iterate, and publish production-ready prompts for financial operations use cases, ensuring optimal performance and accuracy

Mentor product specialists and business analysts, with potential to build and lead a team as the portfolio grows

Qualification

AI product managementFP&A expertiseData analyticsPrompt engineeringEnterprise AI platformsSAP FinanceLeadership skillsCommunication skillsProblem-solving skillsTeam collaboration

Required

Bachelor's degree in Computer Science, Information Systems, Business, Finance, or a related field

7-10 years of relevant product management or related work experience required

Demonstrated experience defining and executing on AI products in an enterprise or B2B/B2C product environment

Strong leadership and collaboration skills within cross-functional teams

Excellent verbal and written communication skills

Strong problem-solving and analytical skills, with a passion for exploring the capabilities of AI in enterprise environments

Enthusiasm for AI technology and its innovative application in enterprise settings, including a functional understanding of AI language models, APIs, and software tools

Ability to communicate at all levels of the organization (directors, managers, engineers, quality assurance analysts, end users, etc…)

Proven ability to work with and influence cross-functional teams without formal authority

Ability to self-learn and seek out knowledge to improve understanding of technology solutions

Excellent verbal and written communication skills, strong attention to detail

Strong problem solving, planning, analysis, teamwork, and organizational skills

Confident presentation skills in small and large groups

Excellent discovery and active listening skills

Ability to use good judgment in conveying status and problem escalation

Provides coaching and mentoring to team members

Must be comfortable working on a team with daily accountability for keeping commitments

Demonstrated working knowledge of product management and Agile software lifecycle methodologies

Preferred

5+ years of hands-on experience in enterprise finance and risk management, including FP&A, procurement, audit, compliance, accounts receivable/payable, or financial reporting

Familiarity with enterprise finance platforms such as SAP Finance or similar

Demonstrated success implementing AI/ML solutions, finance context preferred

Proven expertise in data analytics and insights generation from financial and operational data; Databricks or other data fabric platforms a plus

Hands-on prompt engineering experience, including creating, testing, and optimizing prompts for production use with focus on data accuracy and insights quality

Enterprise AI platform experience (Azure OpenAI Services / AI Foundry preferred, but experience with OpenAI, Anthropic, AWS Bedrock, or similar platforms acceptable)

Understanding of financial regulations, compliance requirements, and risk management frameworks in enterprise environments a plus