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Data Architect, Engineer Job Opening In WorkFromHome – Now Hiring AIG


Job description

Overview

Data Engineering AVP role at the AIG Data Office.

The role is responsible for major data delivery project development, functional enhancement, and serving as a subject matter expert for technology selection.

You will work collaboratively with business, product owners and vendor partners to ensure successful delivery of data programs.

This is a strategic role supporting mission critical financial functions.

The role includes leading technical resources and partnering with the AIG Cloud team and architecture teams to deliver cloud solutions that are secure, resilient, scalable and efficient.

The person is responsible for delivering in a highly outsourced model.

Responsibilities

  • Lead technical delivery for large, mission critical initiatives, with initial focus on a multi-year financial transformation program for Commercial insurance.

  • Lead highly outsourced technical delivery teams to deliver data pipelines across functional areas, like Finance / Actuarial systems, on time, with high quality and continuous innovation.

  • Establish best practices, guidance and recommendations for data cloud solutions that are scalable, secure, resilient, efficient and managed with operational excellence.

  • Serve as a Technical Subject Matter Expert for data programs; guide technology selection with focus on efficiency, cost and time to market.

  • Recommend opportunities to modernize the data application portfolio to reduce operational cost and eliminate technical debt.

  • Foster relationships with business and IT stakeholders for the program.

  • Maintain industry / AIG security standards and SDLC compliance for delivery, including establishing and developing data controls for internal and external requirements.

  • Ensure high quality delivery across multi-vendor teams spread across different geographies.

Key Qualifications

  • Significant experience in application development, large data management solutions and information handling at the enterprise level, with a deep understanding of SDLC.

  • In-depth knowledge of architectural principles and services used to develop technical cloud strategy and review workload architectures; able to address high-risk issues.

  • Ability to manage large vendor teams across multiple geographies.

  • Experience working in large, complex, multinational financial data environments.

  • Insurance (ideally property and casualty) industry expertise in the data domain.

  • Business acumen and understanding of insurance metrics and financials.

  • Ability to work under challenging delivery situations with tight deadlines and budget constraints.

  • Experience in providing technical expertise and project leadership by conducting industry and market research and making recommendations on current and new domain knowledge and related technologies.

  • Understanding of the long-term and short-term perspectives of situations.

  • Effective communication and facilitation with business and technology stakeholders to understand use cases and business needs.

  • Ability to influence change and drive results; self-motivated to identify issues and resolve them quickly.

  • Ability to work effectively in a fast-paced environment with changing priorities.

  • Familiarity with Agile methodologies and ability to use Rally to track user stories.

Ideal Experience

  • Bachelor’s degree in computer science, math, software engineering, computer engineering, or related field and 10+ years’ experience in software development, data modeling or data engineering in progressive leadership roles.

  • Strong background in cloud infrastructure and AWS services.

  • Knowledge of Snowflake, Oracle, DB2, SPARK, JAVA, Microsoft technologies.

  • Familiarity transforming and analyzing structured, semi-structured, and unstructured data.

  • Experience with Git / GitHub.

  • Prior experience adopting AI accelerators for application development is a plus.

  • Experience in Property and Casualty insurance with emphasis in commercial lines; experience in Finance discipline is a plus.

  • Experience in developing and operationalizing complex data engineering solutions.

  • Leverages expert problem-solving skills and techniques.

Location & Mobility

  • Position will be based in the US.

  • 15% travel required.

At AIG, we value in-person collaboration as a vital part of our culture.

We ask team members to be primarily in the office to foster effective collaboration and a connected environment for our team and clients.

Benefits

Enjoy Benefits That Take Care Of What Matters.

AIG offers a Total Rewards Program, a comprehensive benefits package focused on health, wellbeing and financial security, as well as professional development.

About AIG: American International Group, Inc.

is a global leader in commercial and personal insurance solutions with a broad, international presence.

Equal Opportunity: AIG is an equal opportunity employer.

We provide reasonable accommodations to job applicants and employees with disabilities.

If you need a reasonable accommodation, please email

#J-18808-Ljbffr

Required Skill Profession

Software Architecture & Engineering


  • Job Details

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Unlock Your Data Architect Potential: Insight & Career Growth Guide


Real-time Data Architect Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Data Architect in WorkFromHome, Singapore, highlighting market share and opportunities for professionals in Data Architect roles.

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Are You Looking for Data Architect, Engineer Job?

Great news! is currently hiring and seeking a Data Architect, Engineer to join their team. Feel free to download the job details.

Wait no longer! Are you also interested in exploring similar jobs? Search now: .

The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at AIG adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Singapore laws and regulations

What Is the Average Salary Range for Data Architect, Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in WorkFromHome. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Data Architect, Engineer?

Key qualifications for Data Architect, Engineer typically include Software Architecture & Engineering and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

How Can I Improve My Chances of Getting Hired for Data Architect, Engineer?

To improve your chances of getting hired for Data Architect, Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

Interview Tips for Data Architect, Engineer Job Success

AIG interview tips for Data Architect, Engineer

Here are some tips to help you prepare for and ace your Data Architect, Engineer job interview:

Before the Interview:

Research: Learn about the AIG's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

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Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Data Architect, Engineer interview at AIG, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the AIG's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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