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Deloitte · 4 hours ago

AI and Emerging Technologies Product Manager, Engineering (Manager)

Cincinnati, OH

Full-time

Hybrid

Senior Level

$131K/yr - $241K/yr

5+ years exp

Deloitte is a leading professional services firm that empowers organizations to enhance customer relationships through innovative strategies and advanced technologies. As a Manager in the Advertising, Marketing & Commerce practice, you will help clients build and launch digital products with a focus on AI-first approaches, collaborating with multidisciplinary teams to deliver impactful customer experiences.

AccountingConsultingFinancial ServicesLegalProfessional ServicesRisk Management

Growth Opportunities

No H1B

Responsibilities

Act as a manager: Take accountability for validating market opportunities, shaping new business models, and ensuring successful, cross-functional execution - from product and engineering through design and go-to-market

Prove it through experience: Bring a proven record of working on high velocity teams building digital products or companies from ideation through launch; provide concrete case studies and metrics demonstrating business impact

Collaboration & Communication: Partner with engineers, designers, and strategists to execute against the product roadmap. Facilitate communication across team functions; assist with stakeholder presentations and product demos to share progress and learnings

AI and Edge Technology Enablement: Research emerging technologies (including AI use cases) to help identify and recommend new solutions for clients. Support learning initiatives to increase fluency and promote healthy adoption within the team

Product Strategy Execution: Translate product vision into actionable implementation plans. Help prioritize features and enhancements based on user needs, analytics, and business impact

Hands-On Contribution: Combine analytical skills, product insights, and entrepreneurial spirit to actively contribute to successful product launches and iterations

Continuous Learning: Stay current on technology trends, contribute to team knowledge sharing, and build a personal reputation as a go-to resource for product leadership and delivery

Qualification

Product managementAI technologiesDigital product developmentAgile methodologiesData analyticsBusiness model validationStakeholder communicationEntrepreneurial spiritTeam collaborationContinuous learning

Required

Bachelor's degree in Business, Computer Science, Engineering, or a related field required

5+ years of professional experience in product management, digital product development, or venture operations

Minimum 5 years of experience in leading end-to-end engineering product strategy and implementation for software or technology solutions

Been a part of a team that has built and launched at least one digital product or venture from concept to market adoption

2+ years experience working in AI or emerging technologies

Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future

Ability to travel up to 40% on average based on the work you do and the clients and industries/sectors you serve

Preferred

Prior experience launching and scaling startups, ventures, or new business units inside large organizations

Technical proficiency-comfortable with software engineering concepts, architecture trade-offs, and solutioning

Hands-on expertise implementing product analytics, establishing KPIs/OKRs, and driving data-informed iterations; can cite at least two examples of A/B testing or experimentation that led to improved product outcomes

Minimum 3 years' experience working within Agile methodologies, including backlog management, sprint leadership, and release planning for digital products

Background combining consulting, hands-on product leadership, and entrepreneurial achievement

Proven ability to shape, validate, and execute new business models-should have led the go-to-market strategy and financial planning for a new product, including securing internal/external funding or investment

Demonstrated experience presenting to and influencing senior client stakeholders in strategic decision-making contexts

Demonstrated fluency with modern AI technologies (LLMs, RAG, ML pipelines) and experience integrating AI into digital product strategies and architectures

Hands-on experience leading AI adoption initiatives, including prototyping, experimentation, and evaluating AI models or platforms