Director of Advanced Analytics

NJ-Warren

MSIG USA

With a long history of property and casualty experience, top financial ratings, and substantial capacity, MSIG USA will be there to safeguard your assets and reduce your risks, no matter what tomorrow brings.

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MSIG North America continues to grow! 

Summary/Job Purpose:

We are looking for a leader in advanced analytics who can drive the development and implementation of data-driven solutions that leverage cutting-edge technologies and methodologies such as artificial intelligence, machine learning, natural language processing, computer vision, and deep learning. You will be responsible to create analytics strategy and blueprint for projects to deliver insights, recommendations, and predictions that support business goals and customer needs.

Essential Functions:

  • Build and execute the vision and strategy for advanced analytics within the organization, aligning with the business objectives and priorities.
  • Build robust pipeline of backlog based on ROI and partner with IT on delivery roadmap.
  • Manage and mentor a team of data professionals, providing guidance, feedback, and coaching to help them grow their skills and deliver high-quality results.
  • Collaborate with senior stakeholders, business leaders, and cross-functional teams to understand the business problems and opportunities, and propose data-driven solutions that address them.
  • Oversee the end-to-end lifecycle of advanced analytics projects, from ideation to deployment, ensuring adherence to best practices, standards, and governance.
  • Evaluate and recommend new technologies, tools, and methodologies to enhance the capabilities and performance of the advanced analytics team and solutions.
  • Communicate and present complex analytical findings and recommendations to various audiences in a clear, concise, and actionable manner.

Supervisory Responsibilities:

This position has no supervisory responsibilities.

Qualifications:  To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

  • Strategic thinking – Ability to visualize long-range solutions to business goals.
  • Innovation - Displays original thinking and creativity
  • Problem Solving - Identifies root causes and resolves problems in a timely manner.
  • Teamwork - Balances team and individual responsibilities.
  • Judgment - Makes timely and sound decisions.
  • Planning/Organizing - Prioritizes and plans work activities.
  • Quality - Demonstrates and enforces accuracy and thoroughness.
  • Initiative - Volunteers readily; Undertakes self-development activities; Seeks increased responsibilities.

Education and Experience Required: 

Diploma/Degree & Experience

  • A master’s degree or PhD in computer science, statistics, mathematics, engineering, or a related field, or equivalent work experience.
  • At least 10 years of experience in data science, machine learning, or advanced analytics, with at least 10 years of experience in leading teams and projects.
  • Strong knowledge of data science and machine learning concepts, techniques, and applications, such as regression, classification, clustering, natural language processing, computer vision, deep learning, etc.
  • Proficient in using various programming languages and tools such as Python, R, SQL, Spark, TensorFlow, PyTorch, etc.
  • Experience in working with big data platforms and cloud services such as AWS, Azure, or GCP.
  • Experience in applying advanced analytics to solve real-world business problems in various domains such as marketing, sales, customer service, operations, finance, etc.
  • Excellent communication, collaboration, problem-solving, and leadership skills.

Up to 20% travel may be required to other office locations for meetings, seminars, and training.

It's an exciting time for our company and a great opportunity to join a financially sound and growing global insurance group!  
It is the policy of MSIG-NA to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, MSIG-NA will provide reasonable accommodations for qualified individuals with disabilities.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: AWS Azure Big Data Classification Clustering Computer Science Computer Vision Deep Learning Engineering Finance GCP Machine Learning Mathematics NLP PhD Python PyTorch R Spark SQL Statistics TensorFlow

Perks/benefits: Career development Insurance

Region: North America
Country: United States

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