Consulting TC AI & Data AI, Auto & Anly AI Stgist & DS Exec Dir MP

Consulting - Technology Consulting - AI and Data AI - Automation and Analytics AI Strategist and Data Scientist - Executive Director - Multiple Positions -Ernst & Young U.S. LLP Seattle WA.

Support the development and execution of the strategic vision and plan for the AI & Data practice aligning with EYs overall business objectives and market trends. Shape the future of clients businesses and drive transformation through innovative artificial intelligence and data-driven strategies solutions and services. Collaborate with other AI & Data practitioners and the broader EY teams across competencies sub service lines and service lines to develop and deliver integrated solutions to clients in consumer product and other sectors. Build new and deepen existing strong relationships with key clients understanding their needs and delivering tailored AI and data solutions that drive business value and efficiencies. Lead mentor and inspire a diverse team of solution architects data scientists AI strategists AI and data engineers and analysts fostering a culture of continuous learning and professional growth. Oversee the delivery of complex AI and data projects driving completion on time and within budget and to the highest quality standards. Contribute to EYs thought leadership in AI and data space by publishing insights participating in industry conferences and/or engaging in public speaking opportunities. Stay abreast of emerging technologies and industry trends driving innovation within the practice and ensuring EY remains at the forefront of AI and data solutions. Provide instrumental leadership in fostering a culture of innovation collaboration and excellence within the practice.

Lead pursuit activities including go to market activities and managed revenue with current clients as well as pipeline engagements. Manage and motivate teams of professionals with diverse skills and backgrounds.

Full time employment Monday Friday 40 hours per week 8:30 am 5:30 pm.

MINIMUM REQUIREMENTS:

Bachelors degree in Business Mathematics Management Information Systems Data Science Analytics Engineering Statistics Computer Science or a related field and 10 years of related work experience (at least 5 of which must be progressive post-baccalaureate related work experience). Alternatively employer will accept a Masters degree in Business Mathematics Management Information Systems Data Science Analytics Engineering Statistics Computer Science or a related field and 9 years of related work experience.

Must have 9 years of experience in AI technologies data analytics machine learning and data governance frameworks.

Must have 9 years of experience in providing advisory services with a strategic focus in helping clients achieve transformational value by improving performance and mitigating risk through the use of advanced analytics solutions.

Must have 9 years of experience driving revenue within existing clients and developing new prospects at the C level of Fortune 500 companies by understanding and translating business challenges into value-add analytics solutions.

Must have 9 years of Analytics engagement leadership experience including: leading a team of consulting professionals on multiple projects providing regular status updates monitoring project economics hands on technical expertise and managing client relationships.

Must have 9 years of hands-on experience with data science big data and data engineering.

Must have 9 years of hands-on experience with various big data technologies in one or a combination of the following ecosystems: Hadoop AWS and/or Microsoft.

Must have 8 years of experience with a combination of at least 3 of the following data sources and structures: APIs NoSQL RDBMS Hadoop S3 and/or Blob Storage.

Must have 8 years of experience working on solid pattern recognition and predictive modelling.

Must have 8 years of experience working on data mining and statistical tools.

Must have 8 years of experience with statistical modeling ETL and data ingestion/cleansing.

Must have 8 years of experience setting up data and experimental platforms.

Must have 8 years of experience using at least one or a combination of the following: R SAS Python Java/C# Scala SQL Hive or Pig.

Must have 8 years of experience using machine learning algorithms including neural networks k-NN naive bays decision trees and SVM.

Must have 8 years of experience using recommendation engines scoring systems and A/B testing.

Domestic travel required up to 80% to serve client needs.

Employer will accept any suitable combination of education training or experience.

Please apply on-line at and click on Careers - Job Search See All then Experienced Professionals (Job Number -).

What we offer

We offer a comprehensive compensation and benefits package where youll be rewarded based on your performance and recognized for the value you bring to the business. The base salary for this job is $386000 per addition our Total Rewards package includes medical and dental coverage pension and 401(k) plans and a wide range of paid time off options. Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external client serving roles to work together in person 40-60% of the time over the course of an engagement project or year. Under our flexible vacation policy youll decide how much vacation time you need based on your own personal circumstances. Youll also be granted time off for designated EY Paid Holidays Winter/Summer breaks Personal/Family Care and other leaves of absence when needed to support your physical financial and emotional well-being.

Continuous learning: Youll develop the mindset and skills to navigate whatever comes next.
Success as defined by you: Well provide the tools and flexibility so you can make a meaningful impact your way.
Transformative leadership: Well give you the insights coaching and confidence to be the leader the world needs.
Diverse and inclusive culture: Youll be embraced for who you are and empowered to use your voice to help others find theirs.

EY accepts applications for this position on an on-going basis. If you can demonstrate that you meet the criteria above please contact us as soon as possible.

The exceptional EY experience. Its yours to build.
EY Building a better working world

EY exists to build a better working world helping to create long-term value for clients people and society and build trust in the capital markets.

Enabled by data and technology diverse EY teams in over 150 countries provide trust through assurance and help clients grow transform and operate.

Working across assurance consulting law strategy tax and transactions EY teams ask better questions to find new answers for the complex issues facing our world today.

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EY provides equal employment opportunities to applicants and employees without regard to race color religion age sex sexual orientation gender identity/expression pregnancy genetic information national origin protected veteran status disability status or any other legally protected basis including arrest and conviction records in accordance with applicable law.

EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process please call 1-800-EY-HELP3 type Option 2 (HR-related inquiries) and then type Option 1 (HR Shared Services Center) which will route you to EYs Talent Shared Services Team or email SSC Customer Support at

This particular position at Ernst & Young in the United States requires the qualified candidate to be a United States worker as defined by the U.S. Department of Labor regulations at 20 CFR 656.3. You can review this definition at at the bottom of page 750. Please feel free to apply to other positions that do not require you to be a U.S. worker.