Head of Advanced Analytics

4 days ago

Toronto, Canada Manulife Full time

The VP Advanced Analytics, Canada Segment takes on advanced analytics/ AI leadership responsibilities across multiple functions including CX, Marketing, Distribution, Underwriting, In-Force Management, and Claims. The leader will direct a team of data scientists and ML engineers in identifying and qualifying AI opportunities, architecting value-creating models, and building and deploying AI solutions. Manulife aims to embed analytics in all major business and functional processes and products, creating a data-driven culture. Our global ambition is to be the most digital, customer-centric business in our industry and a leader in data and analytics. The VP plays a key leadership role in developing and executing our strategy and bold ambition.

The candidate is a thought leader in the global advanced analytics/AI community and experienced in executing complex analytics programs with significant impact on the bottom line of the business. The successful candidate will bring their innovation, critical thinking, influencing, industry, and functional expertise leveraged through advanced analytics/AI solutions.

This position reports to the Manulife Global Chief Analytics Officer and the Canada Segment Chief Marketing Officer. The VP will lead a team of direct and/or indirect reports and consultants, and work closely with senior leadership to drive data-driven business decisions.

Key Accountabilities:
  • Leads the implementation of analytics solutions that drive significant value for the business.
  • Champions the use of analytics across the organization, educating key stakeholders on the value of analytics.
  • Directs the strategic design, development, and delivery of new ideas, programs and projects using advanced analytics, predictive modeling, and artificial intelligence.
  • Identifies opportunities to leverage analytics. Advises senior management and key stakeholders ensuring all parties understand outcomes, capabilities, risks, and limitations. Develops and recommends mitigation plans.
  • Provides key insights and intelligence to stakeholders. Develops, prioritizes, and “sells” recommendations to key decision makers.
  • Provides tactical leadership on strategic initiatives.
  • Oversees the technical design discussions on analytics projects. Ensures technical requirements are translated and understood by key stakeholders.
  • Develops key performance metrics to measure project success.
  • Ensures data and advanced analytics requirements are included in all major initiatives, setting the organization up for future success.
  • Teams closely with marketing analytics on media strategy and MROI framework.
  • Oversees an effective analytics project process.
  • Builds project teams and serves as senior level management contact for issues.
  • Ensures project deliverables are completed on time and issues are resolved quickly.
  • Works collaboratively, bringing Risk Management (and other key stakeholders) into the process early to ensure timely approval.
  • Coordinates closely with IT area, ensuring the Advanced Analytics team’s technology requirements are met.
  • Sets the vision that aligns with business strategy and priorities.
  • Creates a diverse and inclusive culture that aligns with the organization's values.
  • Maintains knowledge on current and emerging developments and trends in the analytics space. Assesses the impact and collaborates with senior management to incorporate new trends and developments in current and future strategies.
  • Understands the major value drivers and operating models of insurance organizations including mortality and morbidity levers, product profitability, customer acquisition process, claims process, and distribution models.
Job Requirements:
  • 15 years of experience in data mining, modeling, and strategy design that directly align with the responsibilities of this position.
  • Proven track record of implementing innovations at a large organization, collaborating across a matrix organization to achieve buy-in.
  • Knowledge of technology solutions used in the development and deployment of advanced analytics functions.
  • Sound knowledge of “Big Data” concepts.
  • A demonstrated track record of consistently meeting and/or exceeding performance expectations.
  • Knowledge of key players in the analytics space including vendors and consultants as well as best practices used by competition or adjacent industries.
  • Advanced degrees in statistics, math or business (MBA) an asset.
Competencies & Key Leadership Behaviors:
  • Experience in building & leading teams (direct & matrix).
  • Business maturity and ability to manage competing priorities.
  • Collaborator.
  • Strong communication and interpersonal skills.
  • Values and drives customer obsession.
  • Proven track record of excellence in execution.
  • Technical and industry knowledge.
  • Makes an impact. Ability to think outside the box.
  • Adaptable, leads and manages change.
  • Executive presence with strong emotional intelligence awareness.
  • Can influence and solicit executive buy-in.
  • Knowledge of life insurance products and competitors.
About Manulife and John Hancock

Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit our story.

Manulife is an Equal Opportunity Employer

At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement, and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.

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