Top 21 Ai native software engineering manager Jobs in Covington, Ky

ConvergeSPORTS - Head Product Manager - Data and Product Engineering (Manager) - Innovation_Delivery_Transformation
Deloitte —Cincinnati, OH
- $134,500 - $265,100 a year
- Full-time
- Azure
- Computer Science
- Engineering
13d
AI Native Software Engineering Manager
Accenture —Cincinnati, OH
- $87,400 - $316,300 a year
- Full-time
- Hybrid work
- 5 years
- Java
- US work authorization
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- Disability insurance
1d
AI Native Software Engineering Senior Manager/Assoc Director
Accenture —Cincinnati, OH
- $122,700 - $366,300 a year
- Full-time
- Hybrid work
- Computer Science
- System design
- Java
- Paid holidays
- Disability insurance
1d
Engineering Manager, International Expansion
The RealReal —Florence, KY
- $194,499 - $216,109 a year
- Full-time
- Remote
- Computer Science
- System design
- Mentoring
- Paid parental leave
- Employee stock purchase plan
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9d
AI Native Transformation Manager
Accenture —Cincinnati, OH
- $87,400 - $266,300 a year
- Full-time
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- Azure
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Process Excellence Consultant / Manager / Senior Manager
Accenture —Cincinnati, OH
- $59,100 - $196,000 a year
- Full-time
- Analysis skills
- US work authorization
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Forward Deployed Engineer Manager
Accenture —Cincinnati, OH
- $87,400 - $316,300 a year
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- Computer Science
- 5 years
- Salesforce
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1d
Principal Enterprise Architect
First Student —Cincinnati, OH
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- 8 years
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Global Capability Center Product Engineering Senior Manager
Accenture —Cincinnati, OH
- $122,700 - $317,200 a year
- Full-time
- Up to 50% travel
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- Disability insurance
DevOps Engineer (Hybrid)
Unlimited Systems —Cincinnati, OH
- Full-time
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Senior Engineer
Raft Company Website —Cincinnati, OH
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- Hybrid work
- 3 years
- Java
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- Paid training
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6d
CCaaS x AI, Manager, Technical Transformation
Deloitte —Cincinnati, OH
- Full-time
- Computer science
- Computer Science
- Up to 50% travel
8d
ConvergeSPORTS - Mobile App Product Manager (Senior Consultant) - Innovation_Delivery_Transformation
Deloitte —Cincinnati, OH
- $116,200 - $229,100 a year
- Full-time
- Computer Science
- Engineering
- SQL
7d
Data Architect (P4642)
84.51° —Cincinnati, OH
- $162,000 - $262,200 a year
- 7 years
- System design
- Office
Lead Product Owner – GenAI / Application Security
Hudson Manpower —Cincinnati, OH
- Full-time
- AWS
- Analysis skills
- Continuous improvement
Quick Apply
3d
Supply Chain and Engineering– Software Defined Vehicle (SDV) Go-To-Market, Senior Manager / Associate Director
Accenture —Cincinnati, OH
- $122,700 - $271,000 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- 8 years
- Paid holidays
- Disability insurance
Lead Product Forward Deployed Engineer for FSI Signals - Innovation_Delivery_Transformation
Deloitte —Cincinnati, OH
- $134,500 - $265,100 a year
- Full-time
- Marketing
- Engineering
- Travel
7d
Delivery Management Engineer II
Deloitte —Cincinnati, OH
- $86,400 - $170,900 a year
- Full-time
- Azure
- Computer Science
- Up to 50% travel

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ConvergeSPORTS - Head Product Manager - Data and Product Engineering (Manager) - Innovation_Delivery_Transformation
Deloitte —Cincinnati, OH
Experience leading at least two concurrent cross-functional workstreams across product, data engineering, application engineering, data science, design, or…
$134,500 - $265,100 a year
13d
AI Native Software Engineering Manager
Accenture —Cincinnati, OH
Minimum of 1 year expertise in designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments…
$87,400 - $316,300 a year
1d

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ConvergeSPORTS - Head Product Manager - Data and Product Engineering (Manager) - Innovation_Delivery_Transformation

Deloitte -
Cincinnati, OH

Apply Now

Job Details

Full-time
$134,500 - $265,100 a year
13 days ago

Qualifications

Roadmap creation (System development task)
Data model design
Feature prioritization
Data modeling projects
Agile scheduling
Data Architecture Design (Architecture design skills)
Production systems
Release management
Product backlog management
Agile software development
Product strategy
Cloud Architecture Design (Architecture design skills)
Cross-functional team management
Design (software development lifecycle)
Technical product management experience within tech
Agile planning

Full Job Description

The Team

ConvergeSPORTS is a product-driven business combining Deloitte's sports industry experience with proprietary data, AI-native decision intelligence, and reusable Converge capabilities. We help sports organizations grow revenue, deepen fan engagement, optimize partnerships, and improve commercial performance while operating with the focus of a product company.

The Analytics & Insights product team builds reusable data, modeling, and decision capabilities for sports organizations. The team works across Product Management, Data Engineering, Data Science, Software Engineering, Forward Deployed Engineering, and Go-to-Market to turn complex sports and consumer data into production-ready product capabilities.

Within Analytics & Insights, this role leads the data products and engineering capabilities that turn sports, fan, sponsorship, engagement, and commercial data into governed, reusable services, models, APIs, and activation-ready interfaces. The team builds product-grade foundations for analytics, decision workflows, and AI-enabled experiences rather than one-off client implementations.

Position Summary

ConvergeSPORTS is seeking a Head Product Manager specializing in data and product engineering to lead the Analytics & Insights product strategy and delivery model. You will own the vision, architecture-aligned roadmap, operating model, and cross-functional execution required to turn fragmented data into trusted, scalable product capabilities. This is a hands-on functional leadership role for a technically fluent product leader who can guide data and software engineering priorities, establish product standards, and connect foundational investments to adoption, reliability, and commercial outcomes.

Recruiting for this role ends on 09/22/2026.

Work you'll do

As the product leader for data and product engineering within Analytics & Insights, you will set the strategy and operating rhythm for data products, shared services, and reusable engineering capabilities while working day to day with Data Engineering, Product Engineering, Data Science, Design, Forward Deployed Engineering, and Go-to-Market leaders. Your work will include:

Define and own the multi-year product vision, data product strategy, roadmap, and outcome metrics for shared data and product engineering capabilities.
Establish the product model across data ingestion, identity resolution, audience profiles, semantic models, data products, APIs, activation services, and developer-facing capabilities.
Translate market and product needs into prioritized product epics, data contracts, interface specifications, nonfunctional requirements, acceptance criteria, and release plans.
Partner with Data Engineering and Product Engineering leaders to shape reference architecture, reusable services, integration patterns, cloud platform choices, technical-debt priorities, and build-versus-buy decisions.
Set product requirements and standards for data quality, lineage, metadata, observability, privacy, consent, access controls, testing, reliability, and production support.
Lead roadmap and backlog decisions for Analytics & Insights capabilities consumed by product teams, Data Science, Forward Deployed Engineering, and Go-to-Market teams.
Define AI-native and agentic product capabilities, including governed data access, retrieval and tool interfaces, evaluation criteria, human review points, and guardrails.
Build and lead the product operating cadence across discovery, architecture reviews, backlog grooming, sprint planning, demonstrations, release readiness, adoption reviews, and incident learning.
Create implementation, configuration, and onboarding patterns that reduce the time required to integrate new clients and datasets while protecting reusable architecture and product scalability.
Own adoption, commercialization, and value measures, including data quality, integration time, service reliability, reuse, feature adoption, cost to serve, client impact, and commercial contribution.

The successful candidate would possess these skills:

Technical product leadership that connects data architecture, data engineering, software engineering, and end-user value.
Systems thinking across data domains, APIs, services, product workflows, security, reliability, and operating constraints.
Ability to make clear portfolio and roadmap tradeoffs across foundational data and engineering work, customer needs, technical debt, and commercial priorities.
Executive-ready communication and influence across Product, Engineering, Data Science, Delivery, Sales, and account leadership.
Team-building and coaching skills that create accountability, decision clarity, and high-quality product execution across distributed teams.
Hands-on ownership style with a willingness to write requirements, inspect data models and APIs, review prototypes, interrogate metrics, and support demonstrations.

Qualifications

Required:

Bachelor's degree in Business, Engineering, Computer Science, Data Science, Information Systems, or a related field, or equivalent professional experience.
8+ years of experience in product management, technical product management, data product management, product engineering, or software platform delivery.
5+ years of experience owning product strategy, roadmaps, backlogs, release decisions, and success measures for data products, SaaS platforms, developer products, or analytics products.
4+ years of experience partnering directly with data engineering and software engineering teams to define data models, APIs, pipelines, platform services, cloud capabilities, or production requirements.
3+ years of experience with at least two of the following: customer data products, identity resolution, CRM or loyalty data, cloud data platforms, event or batch pipelines, data governance, API products, or ML/AI product features.
Experience taking at least one data product, developer service, or shared engineering capability from discovery and architecture through production release, adoption measurement, and ongoing operating support.
Experience leading at least two concurrent cross-functional workstreams across product, data engineering, application engineering, data science, design, or client delivery using Agile delivery practices and tools.
Ability to travel up to 25%, on average, based on client, market, and product needs.
Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

2+ years of experience in sports, media, entertainment, sponsorship, fan engagement, loyalty, ticketing, or adjacent consumer industries.
2+ years of experience with customer data products, identity resolution, audience segmentation, CRM, loyalty, ticketing, or activation products.
Experience with one or more cloud data or product technologies such as Snowflake, Databricks, AWS, Azure, GCP, Kafka, dbt, REST APIs, or GraphQL.
Experience defining data governance, consent and privacy, data quality, observability, service-level objectives, or platform reliability requirements in a production environment.
Experience defining or launching GenAI or agentic product features using governed enterprise data, including grounding, tool use, evaluation, or human-in-the-loop controls.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134,500-$265,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Apply Now

Refine Your Search

ai native software engineering manager jobs in covington, ky

ConvergeSPORTS - Head Product Manager - Data and Product Engineering (Manager) - Innovation_Delivery_Transformation

AI Native Software Engineering Manager

AI Native Software Engineering Senior Manager/Assoc Director

Engineering Manager, International Expansion

AI Native Transformation Manager

Process Excellence Consultant / Manager / Senior Manager

Forward Deployed Engineer Manager

Principal Enterprise Architect

Global Capability Center Product Engineering Senior Manager

DevOps Engineer (Hybrid)

Senior Engineer

CCaaS x AI, Manager, Technical Transformation

ConvergeSPORTS - Mobile App Product Manager (Senior Consultant) - Innovation_Delivery_Transformation

Data Architect (P4642)

Lead Product Owner – GenAI / Application Security

Supply Chain and Engineering– Software Defined Vehicle (SDV) Go-To-Market, Senior Manager / Associate Director

Lead Product Forward Deployed Engineer for FSI Signals - Innovation_Delivery_Transformation

Delivery Management Engineer II

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