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Strategy Manager Ai Jobs in Iowa (NOW HIRING)

ERP AI Engineer - Manager

Des Moines, IA · On-site

$99K - $232K/yr

... strategic objectives. In Oracle data and analytics at PwC, you will utilise Oracle's suite of tools ... AI solutions that drive measurable client outcomes. As a Manager, you will lead teams of data ...

Provide mentorship, technical oversight, and strategic direction to distributed AI Champions and cross-functional project teams without formal administrative people management responsibilities

Develop and manage the operational strategy roadmap, aligning cross-functional priorities with ... Advance AI enablement and data science capabilities by identifying and scaling smart manufacturing ...

Develop and manage the operational strategy roadmap, aligning cross-functional priorities with ... Advance AI enablement and data science capabilities by identifying and scaling smart manufacturing ...

Develop and manage the operational strategy roadmap, aligning cross-functional priorities with ... Advance AI enablement and data science capabilities by identifying and scaling smart manufacturing ...

Showing results 41-60

Strategy Manager Ai information

What does a strategy manager AI do?

A Strategy Manager AI is responsible for developing and overseeing the strategic direction of an organization's artificial intelligence initiatives. They analyze market trends, identify opportunities for leveraging AI technologies, and work with cross-functional teams to implement AI-driven solutions that align with business goals. Their role also involves managing budgets, assessing risks, and ensuring that AI projects deliver measurable value. In addition, they often communicate complex AI strategies to stakeholders and help shape the organization's overall digital transformation.

What are the key skills and qualifications needed to thrive as a strategy manager AI?

To thrive as a Strategy Manager AI, you need a solid background in business strategy, data analytics, and artificial intelligence, often supported by an advanced degree in business, computer science, or related fields. Familiarity with AI technologies, data visualization tools, and project management software, along with certifications such as PMP or relevant AI credentials, is typically expected. Strong leadership, critical thinking, and communication skills help drive cross-functional collaboration and influence decision-making at all levels. These skills are crucial for aligning AI initiatives with business goals and ensuring successful implementation and impact.

How does a strategy manager AI typically collaborate with cross-functional teams within an organization?

A Strategy Manager focusing on AI frequently works with a variety of teams, including data science, product development, IT, and executive leadership. Collaboration often involves translating business objectives into AI project requirements, ensuring alignment between technical teams and business goals, and communicating progress and challenges to stakeholders. This role also facilitates workshops, sets strategic priorities, and helps identify potential AI opportunities or risks across departments. Strong interpersonal skills and the ability to bridge the gap between technical and non-technical teams are essential for success.

What is the difference between Strategy Manager Ai vs Data Analyst?

AspectStrategy Manager AiData Analyst
Required CredentialsBachelor's or master's in business, data science, or related fields; experience with AI toolsBachelor's in statistics, mathematics, or related fields; proficiency in data analysis software
Work EnvironmentStrategic planning teams, cross-departmental collaboration, AI-driven projectsData-focused teams, reporting, data visualization, and analysis tasks
Employer & Industry UsageTech companies, consulting firms, finance, and marketing industriesResearch institutions, finance, healthcare, and tech sectors

The Strategy Manager Ai focuses on developing strategic plans leveraging AI technologies, while Data Analysts primarily interpret data to inform business decisions. Both roles require analytical skills, but Strategy Managers Ai emphasize strategic thinking and AI integration, whereas Data Analysts concentrate on data processing and reporting.

What cities in Iowa are hiring for Strategy Manager Ai jobs?

Cities in Iowa with the most Strategy Manager Ai job openings:

ERP AI Engineer - Manager

Pwc

Des Moines, IA • On-site

$99K - $232K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 28 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 77 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Oracle

Management Level

Manager

Job Description & Summary

At PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives.
In Oracle data and analytics at PwC, you will utilise Oracle's suite of tools and technologies to work with data and derive insights from it. You will be responsible for tasks such as data collection, data cleansing, data transformation, data modelling, data visualisation, and data analysis using Oracle tools like Oracle Database, Oracle Analytics Cloud, Oracle Data Integrator, Oracle Data Visualization, and Oracle Machine Learning.
Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
Analyse and identify the linkages and interactions between the component parts of an entire system.
Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
Develop skills outside your comfort zone, and encourage others to do the same.
Effectively mentor others.
Use the review of work as an opportunity to deepen the expertise of team members.
Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
The Opportunity
As part of the Data and Analytics Engineering team, you will serve as both a technical leader and a trusted advisor to clients, combining AI/ML knowledge with business acumen to design and deliver AI solutions that drive measurable client outcomes. As a Manager, you will lead teams of data scientists and ML engineers, manage client relationships, and translate complex business challenges into AI-driven strategies and solutions. This role offers the chance to shape AI solution architecture while driving innovation and excellence in client engagements.
Responsibilities
- Lead and mentor teams of data scientists and ML engineers
- Manage client relationships and promote satisfaction with deliverables
- Translate intricate business challenges into AI-driven strategies
- Design and implement AI solution architectures
- Drive innovation and excellence in client engagements
- Analyze data to derive actionable insights and solutions
- Collaborate with stakeholders to align on project objectives
- Uphold exceptional standards of quality and integrity in every task
What You Must Have
- Bachelor's Degree
- At least 7 years of experience in AI/ML engineering, data science, or a related technical role
What Sets You Apart
- Master's Degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or related field preferred
- Experience with Large Language Models and prompt engineering
- Building scalable, cloud-native microservices and containerized deployments
- Proficiency with MLOps tooling and CI/CD pipelines for ML
- Experience with vector databases and semantic search architectures
- Translating complex business problems into AI solution designs
- Contributing to business development and proposal writing
- Cloud certifications in AI/ML or solutions architecture preferred
- Familiarity with Responsible AI principles and bias mitigation practices

Travel Requirements

Up to 60%

Job Posting End Date

The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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About pwc

Sourced by ZipRecruiter

We know that the future success of our firm is contingent on equitable experiences for our people. From recruitment to partnership, we’re working hard to give every person an equitable opportunity to grow and to thrive as part of our community of solvers. We understand that establishing and maintaining a fair, equitable and welcoming environment for all people requires building a culture of belonging: a shift from awareness to empathy — while demonstrating inclusive leadership that cultivates trust among our people and our clients. PwC is committed to advancing diversity, equity and inclusion (DEI) through an evidence-based strategy designed to achieve well-defined and meaningful aspirational goals. Our aim is to solve problems for the long term, as that is how we build trust and continue to build on our culture of belonging. At the core of this endeavor are stated goals and a series of linked programs enabling targeted interventions at key moments in our employees’ career trajectories.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

London, London, UK