Director, Operational Data and Analytics

October 30 2024
Industries Bank, Insurance, Financial services
Categories Data Business Analyst,
Toronto, ON | Waterloo, ON • Full time

You are as unique as your background, experience and point of view. Here, you'll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

Job Description:

When you join Sun Life International

Sun Life International is on a transformative journey to become a scalable, nimble, and client-centric organization with a sustainable business model. This role is crucial in meeting both current client expectations and responding to future market demands.

We are seeking an experienced and visionary Director, Data and Analytics to lead Sun Life International's operational data strategy and analytics initiatives. Reporting to the Chief Transformation Officer, the Director, Data and Analytics will drive data driven decision making for operational teams, including Operations, Underwriting and Distribution. The role will leverage advanced analytics, gen AI and predictive analytics to unlock valuable insights, drive operational efficiency and identify initiatives to improve business efficiency and the client experience.

What you will be doing

  • Act as business champion for a data-driven, decision-making culture; drive the adoption of business insights, gen AI and predictive analytics to solve complex business problems

  • Collaborate with functions and senior leadership to identify key performance metrics, KPIs, and benchmarks to track and measure business performance

  • Work with key stakeholders in Operations, Underwriting and Distribution to understand and execute on functional data needs

  • Collaborate with Data and Analytics team in conducting comprehensive analyses of data, including client transactions, product performance, policyholder behaviour and market trends

  • Partner with cross functional IT teams and senior leadership to identify emerging management tools, skills, techniques and technologies, and ensure timely introduction for competitive advantage.

  • Ensure the Data and Analytics team delivers a dataset and reporting that meets the business requirements and business needs

  • Conduct hands-on analysis and utilize statistical techniques, predictive modelling, machine learning, etc., to understand operational metrics and provide strategic recommendations based on data insights to drive innovation, enhance operational efficiency and the client experience

  • Stay attuned on industry trends, regulatory changes, and competitive landscape affecting the U/HNW sector in relevant countries, to inform data analysis and strategic initiatives

  • Adopt data visualization and present findings and recommendations to senior executives and stakeholders in a clear and compelling manner and influence strategic decisions

Who you will be working with

This role is multi-faceted, involving collaboration across various regions, including Ireland, Canada, Bermuda, Asia and the US. The successful candidate will work closely with Sun Life International's with teams and leaders across main functions, such as Strategic Delivery, Technology, Product Development, Operations, Finance, Actuarial, Risk, and Compliance. This position requires a versatile and adaptable individual who can navigate the diverse needs and perspectives of stakeholders in different countries and functions to drive the organization's data and analytics objectives.

What we are looking for

  • 10+ years of work experience in data analysis, business intelligence or related roles, with at least 5 years in a leadership role, in the insurance industry or financial services

  • Bachelor's degree in mathematics, statistics, computer science, engineering or a related field. Master's degree preferred.

  • Experience with machine learning techniques, gen AI, predictive analytics and advanced analytics applied to insurance data, is a plus

  • Able to synthesize large sets of data and determine high level key messages and gaps

  • Expertise in SQL, Python, R, and business intelligence tools (e.g., Tableau, Power BI)

  • Experience with big data technologies (e.g. Hadoop, Spark) and cloud platforms (e.g. AWS, Azure), is a plus

  • Proven track record of delivering high-impact analytics projects

  • Strong business acumen and ability to translate data insights into actionable strategies

  • Excellent communication and presentation skills; ability to present data solutions and findings effectively, and translate complex data analysis into clear and concise business implications, to senior leadership

  • Strategy and management consulting experience desirable

The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

Salary Range:

105,000/105 000 - 180,000/180 000

Job Category:

Advanced Analytics

Posting End Date:

11/11/2024
Apply now!

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