AI and Data Solutions Manager

AI and Data Solutions Manager

Full-Time 60000 - 80000 £ / year (est.) Home office (partial)
M

At a Glance

  • Tasks: Lead AI and data solutions to drive innovation and improve business outcomes.
  • Company: Join Murata Electronics, a leader in technology innovation for 80 years.
  • Benefits: Enjoy comprehensive benefits, generous PTO, and a hybrid work schedule.
  • Other info: Be part of a dynamic team with opportunities for professional growth.
  • Why this job: Make a real impact by developing cutting-edge AI and machine learning solutions.
  • Qualifications: 5+ years in AI/ML, cloud platforms, and strong problem-solving skills required.

The predicted salary is between 60000 - 80000 £ per year.

For 80 years, Murata Electronics has been a tireless innovator, committed to developing technologies that profoundly change the world around us. Our solutions are inside more state-of-the-art products than you may imagine. Additionally, we enable other global companies to turn their visions into reality – from mobile communications to computers and networking, medical devices to power solutions, smart home technologies to automotive electronics. Our past innovations drive today's technology – and our present innovations are shaping tomorrow's. Whatever the future holds, you can be sure that Murata will be a part of it.

Why Consider This Job Opportunity

The AI and Data Solutions Manager leads the delivery, enablement, and continuous improvement of enterprise AI, machine learning (ML), and data solutions. This role partners with IT leadership, business stakeholders, and technical teams to identify high-value opportunities and deliver scalable solutions that improve operational efficiency, user adoption, and measurable business outcomes. This is a hands-on technical leadership role that combines solution development, project coordination, data platform knowledge, and organizational enablement. The ideal candidate has practical experience building and deploying production AI/ML solutions, working with enterprise data platforms and cloud technologies, and translating business needs into secure, supportable, adoption-ready solutions.

Workplace Policy

Hybrid from Atlanta, GA or Carrollton, TX

What To Expect (Essential Job Responsibilities)

  • Lead planning, coordination, execution, and delivery of AI, machine learning, and data solution initiatives across the organization.
  • Design, develop, test, deploy, and support practical AI/ML solutions, including prototypes, pilots, and production-ready applications that deliver business value.
  • Partner with business stakeholders to identify opportunities, define use cases, document requirements, and translate business needs into actionable solution plans.
  • Monitor solution performance, adoption, and business impact, identifying opportunities for continuous improvement.
  • Collaborate with IT leadership, data teams, application teams, security, and global partners to align solutions with enterprise architecture, data governance, and security standards.
  • Contribute to the development and governance of enterprise AI and data practices, including standards, guardrails, responsible AI practices, documentation, and lifecycle management.
  • Promote adoption of approved AI and data platforms through training support, use-case development, stakeholder communication, and practical user guidance.
  • Evaluate and recommend tools, platforms, architectures, and integration approaches that align with business requirements and enterprise standards.
  • Support organizational AI, data solution roadmaps, implement plans and delivery timelines in partnership with IT leadership and Business Team leadership.

Miscellaneous Job Responsibilities

  • Provide mentorship and knowledge sharing to internal team members to strengthen AI, machine learning, data platform, and solution delivery capabilities.
  • Stay current on emerging AI, automation, cloud, and data platform capabilities, recommending practical applications where they may create business value.
  • Assist with troubleshooting, issue resolution, enhancement requests, and post-implementation support for approved AI and data solutions.
  • Support special projects, department initiatives, and other duties as assigned.

What Is Required (Qualifications)

  • Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Artificial Intelligence, Engineering, or a related technical field.
  • 5+ years of experience in AI, machine learning, data engineering, cloud data platforms, or related technical roles.
  • Experience developing and deploying production-level AI/ML solutions using Python and related frameworks or tools.
  • Experience with cloud data platforms and tools, including AWS, Snowflake, and SQL, to support analytics and AI/ML workloads.
  • Experience designing or supporting data and AI/ML workloads in a cloud environment (AWS or Azure).
  • Experience leading or coordinating cross-functional technical projects from requirements through implementation.
  • Ability to translate business needs into technical requirements, solution designs, implementation plans, and adoption approaches.
  • Ability to work independently, manage competing priorities, and deliver high-quality work in a collaborative environment.
  • Ability to explain technical concepts clearly to business stakeholders and translate business problems into practical technical approaches.
  • Strong problem-solving, documentation, communication, and presentation skills.

How To Stand Out (Preferred Qualifications)

  • Master's degree or professional certification in related technology, analytics, cloud, or AI discipline.
  • Experience leading development teams, cross-functional project teams, or technology initiatives.
  • Experience with designing and developing Agentic AI applications.
  • Experience with Microsoft Azure, Copilot Studio, Power Platform, or Microsoft 365 AI enablement capabilities.
  • Experience with AWS SageMaker, Amazon Bedrock, MLOps practices, and APIs.
  • Experience supporting AI adoption and organizational enablement programs.
  • Familiarity with AI governance, responsible AI practices, data governance, and solution lifecycle management.
  • Experience in electronics manufacturing, sales and business development, business operations, digital experience, supply chain, or related industry domains.

Perks

  • Comprehensive benefits package including medical, dental, and vision insurance.
  • Generous Paid Time Off including paid holidays and floating holidays.
  • 401(k) employer match on retirement planning.
  • Hybrid working schedule for eligible positions.
  • Tuition reimbursement on approved programs.
  • Flexible and health spending accounts.
  • Talent Development program.

Imagine the possibilities as a member of Murata's innovative global team. Be an innovator - Join Murata!

Murata offers competitive compensation and comprehensive benefits.

Equal Opportunity/Affirmative Action Employer - M/F/Disabilities/Veterans

AI and Data Solutions Manager employer: Murata Manufacturing Co.

Murata Electronics is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for a Digital Marketing Manager to thrive. With a hybrid work model available in vibrant locations like Carrollton, TX, San Jose, CA, and Atlanta, GA, employees enjoy a balanced work-life environment alongside comprehensive benefits such as generous paid time off, tuition reimbursement, and a robust talent development program. Joining Murata means being part of a forward-thinking team dedicated to shaping the future of technology while providing ample opportunities for personal and professional growth.

M

Contact Details:

Murata Manufacturing Co. Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI and Data Solutions Manager

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Murata Manufacturing Co.!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like AI and Data Solutions Manager at Murata Manufacturing Co..

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Murata Manufacturing Co..

Apply Directly through Our Website

When you find a suitable opening like AI and Data Solutions Manager at Murata Manufacturing Co., make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace AI and Data Solutions Manager

AI and Machine Learning
Data Engineering
Cloud Data Platforms
Python
AWS
Snowflake
SQL

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Murata Manufacturing Co., your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Murata Manufacturing Co.. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Murata Manufacturing Co.

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Murata Manufacturing Co.!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.