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AI Data Engineer - Manager

AI Data Engineer - Manager

North Carolina StaffingGreensboro, NC, United States
10 hours ago
Job type
  • Full-time
Job description

Oracle Data And Analytics Manager

At PwC, our people in business application consulting specialize in consulting services for a variety of business applications, helping clients optimize operational efficiency. These individuals analyze client needs, implement software solutions, and provide training and support for seamless integration and utilization of business applications, enabling clients to achieve their strategic objectives. In Oracle data and analytics at PwC, you will utilize 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 modeling, data visualization, 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 :

  • Analyze 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.

As part of the Business Application Consulting team, you will design and implement innovative data architecture strategies that meet current and future business needs. As a Manager you will lead teams and manage client accounts, focusing on strategic planning and mentoring junior staff while driving project success and maintaining exceptional standards. This role offers the chance to enhance your leadership style, motivate and inspire others, and embrace technology and innovation to deliver remarkable results.

Responsibilities :

  • Foster a culture of innovation and technology adoption within the team
  • Analyze complex data systems to identify improvement opportunities
  • Develop strategic plans that support team and client goals
  • Encourage collaboration and open communication among team members
  • What You Must Have :

  • Bachelor's Degree
  • 7 years of experience
  • What Sets You Apart :

  • Preferred field(s) of study : Computer Science, Computer and Information Science, Information Technology, Management Information Systems preferred
  • Certification(s) preferred : AWS Certified Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, Oracle Cloud Infrastructure OCI, GCP Data Engineer Microsoft Certified : Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate
  • Demonstrating proficiency in data architecture strategies
  • Developing and documenting data models and architecture guidelines
  • Working with stakeholders to translate data requirements
  • Building and optimizing ETL / ELT pipelines for data processing
  • Implementing data integration solutions using cloud services
  • Monitoring and troubleshooting data workflows for quality
  • Knowledge of data governance and security practices
  • 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.

    PwC is an equal 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. For 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. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage.

    The salary range for this position is : $99,000 - $232,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. 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.

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