Head of Enterprise Data Engineering
Welcome to MetLife, a global leader in insurance and financial services. We are seeking a highly skilled and experienced individual to join our team as the Head of Enterprise Data Engineering. In this role, you will be responsible for leading and managing our data engineering team, ensuring the delivery of high-quality and efficient data solutions to support our business objectives. We are looking for a driven and innovative leader with a strong background in data engineering, a passion for driving data excellence, and the ability to envision and execute strategic initiatives. If you are a dynamic leader with a track record of success in data engineering, we encourage you to apply for this exciting opportunity.
- Lead and manage the data engineering team to ensure efficient and effective delivery of data solutions.
- Develop and implement strategic initiatives to drive data excellence and support business objectives.
- Set goals and objectives for the team and provide guidance and direction to achieve them.
- Monitor and evaluate team performance, providing feedback and coaching as needed.
- Collaborate with cross-functional teams to understand business needs and translate them into data requirements.
- Identify and implement best practices for data engineering processes and procedures.
- Oversee the design, development, and maintenance of data architecture and infrastructure.
- Ensure data security and privacy protocols are in place and adhered to.
- Manage data governance and quality control processes to ensure accuracy and reliability of data.
- Stay updated on industry trends and advancements in data engineering to drive innovation within the team.
- Foster a collaborative and inclusive work environment that encourages growth and development of team members.
- Develop and manage budgets, resource allocation, and project timelines.
- Communicate with stakeholders at all levels to provide updates and gather feedback.
- Identify and mitigate risks that may impact data engineering projects or operations.
- Represent the company as a subject matter expert in data engineering at industry events and conferences.
Extensive Experience In Data Engineering: The Ideal Candidate For The Head Of Enterprise Data Engineering Role At Metlife Should Have A Strong Background In Data Engineering, With At Least 10 Years Of Experience In The Field. This Includes A Deep Understanding Of Data Architecture, Data Modeling, Data Integration, And Data Governance.
Leadership And Management Skills: This Role Requires The Ability To Lead And Manage A Team Of Data Engineers And Data Analysts. The Candidate Should Have Experience In Building And Managing High-Performing Teams, As Well As Strong Communication And Interpersonal Skills To Effectively Collaborate With Cross-Functional Teams.
Expertise In Cloud Computing And Big Data Technologies: Metlife Is Moving Towards A Cloud-Based Data Infrastructure, And The Head Of Enterprise Data Engineering Should Have Extensive Experience With Cloud Computing And Big Data Technologies Such As Hadoop, Spark, And Aws. Experience With Data Warehouse Solutions, Data Lakes, And Real-Time Data Processing Is Also Highly Desirable.
Business Acumen: The Candidate Should Have A Strong Understanding Of The Insurance Industry And Metlife's Business Processes. This Includes The Ability To Translate Business Requirements Into Technical Solutions, As Well As The Ability To Identify And Prioritize Data Engineering Initiatives That Align With The Company's Strategic Goals.
Continuous Learning Mindset: In The Fast-Paced World Of Data Engineering, It Is Crucial For The Head Of Enterprise Data Engineering To Have A Continuous Learning Mindset. The Candidate Should Be Up To Date With The Latest Data Engineering Trends And Technologies And Be Able To Identify Opportunities For Innovation And Process Improvement Within The Organization.
Project Management
Business Intelligence
Data Management
Cloud Computing
Analytics
Strategy development
Team Leadership
Risk assessment
Database administration
Data governance
Data architecture
Technical Expertise
Communication
Conflict Resolution
Leadership
Time management
creativity
Critical thinking
Attention to detail
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Head of Enterprise Data Engineering in Cary, NC, USA is $150,000-$200,000 per year. This may vary depending on the specific company, experience level, and other factors.
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MetLife, Inc. provides insurance and financial services to individual and institutional customers. It offers life insurance, annuities, automobile and homeowner's insurance and retail banking services to individuals as well as group insurance, reinsurance and retirement and savings products and services. The company operates its business through six segments: Retail, Group, Voluntary and Worksite Benefits, Corporate Benefit Funding, Latin America, Asia, and Europe, the Middle East and Africa.
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