IT Advisor-Technology Consulting-Data and Analytics-Data Science-Manager-Multiple Positions-1624434
AUSTIN, TXPosted 17 days ago
Job summary
Job post source
This job is directly from EY
Job overview
The IT Advisor - Technology Consulting - Data and Analytics - Data Science Manager role at EY involves leading data science projects to deliver scalable solutions that unify and analyze data for clients, driving data-driven decision-making.
Responsibilities and impact
The role requires managing global data and analytics teams, developing predictive models, building data platforms, ensuring quality client services, and cultivating business development opportunities.
Compensation and benefits
The base salary is $192,800 per year, with additional benefits including medical and dental coverage, pension and 401(k) plans, paid time off, flexible vacation policy, and a hybrid work model.
Experience and skills
Candidates must have a Bachelor's or Master's degree in a related field with 4-5 years of relevant experience, including hands-on data science, big data concepts, data engineering, and team management experience, plus consulting experience.
Career development
EY offers continuous learning, leadership coaching, and a diverse and inclusive culture to support professional growth and success defined by the individual.
Work environment and culture
EY promotes high ethical standards, integrity, inclusivity, and flexibility with a hybrid work environment and a supportive culture valuing diverse perspectives.
Company information
EY is a global professional services firm focused on assurance, consulting, law, strategy, tax, and transactions, aiming to build a better working world through technology and diverse teams.
Team overview
The candidate will work with cross-functional, global data and analytics teams, managing data scientists and engineers to deliver client solutions.
Job location and travel
The position is based in Austin, TX, with approximately 80% travel required, including up to 20% international travel, and operates Monday to Friday, 8:30 am to 5:30 pm.
Application process
Applicants must apply online at ey.com/en_us/careers using the job number 1624434; EY provides accommodations for applicants with disabilities.
Unique job features
The role offers opportunities to work with the latest data science technologies, big data platforms, and to lead diverse teams on innovative client projects in a global consulting environment.
Company overview
EY, also known as Ernst & Young, is a global leader in professional services, offering assurance, tax, consulting, and advisory services to a wide range of industries. The company generates revenue through client fees for these services, leveraging its extensive expertise to help businesses navigate complex challenges and achieve growth. Founded in 1989 from a merger between Ernst & Whinney and Arthur Young & Co., EY has a rich history of innovation and leadership in the professional services sector. Notably, EY is committed to building a better working world by fostering sustainable growth and driving positive change.
How to land this job
Tailor your resume to emphasize your expertise in data science, big data technologies, and team leadership, focusing on your ability to manage and deliver scalable data solutions for clients as described in EY's IT Advisor role.
Highlight your experience with tools and languages such as Python, R, SQL, and big data platforms like Hadoop or AWS, and demonstrate your proficiency in predictive modeling, data mining, and ETL processes to align with EY's requirements.
Apply through multiple channels including EY's official career site at ey.com/en_us/careers and LinkedIn to maximize your application visibility and chances of being noticed for this competitive position.
Connect with current EY employees in the Technology Consulting or Data and Analytics divisions on LinkedIn, using ice breakers like commenting on recent EY data science projects, asking about their experience with EY’s client engagements, or expressing enthusiasm for EY’s inclusive culture and innovation in data science.
Optimize your resume for ATS by incorporating keywords from the job description such as 'data science,' 'predictive models,' 'big data technologies,' 'team management,' and specific tools like 'Python,' 'SQL,' and 'Hadoop' to ensure your resume passes automated screening effectively.
Use Jennie Johnson's Power Apply feature to automate tailored resume creation, identify multiple application portals, and find relevant EY LinkedIn contacts, freeing you to focus on networking and interview preparation.
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