Director, LTC Fraud Strategy & Analytics

The Long-Term Care Anti-Fraud, Waste, and Abuse Analytics Director serve as the voice of business and the customer for the fraud component of Claims focusing specifically on designing and developing controls. Accountable for driving new fraud control development which are integrated though the claims process (initiation through ongoing reimbursement), instituting transformational practices, tools, and AI solutions to prevent and detect controls proactively.

This role and the associated squads directed by this role play a critical component in the strategy, vision, outcomes, and key results by aligning and prioritizing business goals with actionable results. With that in mind, Bachelor’s or Master’s degree in Business Administration, Statistics, Mathematics, Data Science, Actuarial Science, or a related field is required.  Candidates with other educational backgrounds may also be considered if they demonstrate strong business acumen in these areas. Equivalent combinations of education and experience will be considered for applicants with relevant, domain‑specific expertise.

The candidate will bring a senior-level strategic view and tactical delivery of products, tools, controls, and business processes aligned to fraud prevention and detection. The candidate is accountable for ideating and prioritizing the work across the Analytics and IT squads to design, test and execute data-driven strategies.
 

The ideal candidate will bring:

Strategic Vision: Ability to connect the dots across multiple functional areas, anticipate capacity needs, and align team efforts with outcomes.

Operational Excellence: Proven ability to optimize processes, manage resources, and drive efficiency across complex workflows.

Analytical Acumen: Strong analytical thinking with the ability to interpret data, identify trends, and translate insights into actionable controls.

AI & Data Science Fluency: Familiarity with emerging technologies, including artificial intelligence, machine learning, and data science methodologies to inform decision-making and innovation.

Project Management Expertise: Demonstrated success in leading cross-functional initiatives, managing timelines, budgets, and stakeholder expectations.

Leadership: Energize and elevate the team and foster a culture of engagement and accountability. This individual should be able to prioritize the most valuable work and drive results. The ideal candidate will inspire trust, align the team around shared goals, and cultivate an environment where people feel valued, motivated, and empowered to contribute their best.

Executional Discipline: Maintain and update key planning tools weekly such as roadmaps, JIRA boards, and status trackers, sponsor decks to ensure transparency, accountability, and momentum across teams.

Position Responsibilities:

• Drives the strategy, planning, prioritization, roadmap, and delivery of key Fraud capabilities with business partners.
• Acts as a thought partner to business stakeholders on multi-million-dollar Fraud priorities.
• Provide expert insights and recommendations to support strategic decision-making and risk management.
• Stay updated on industry trends, emerging fraud schemes, and advancements in fraud detection technologies.
• Collaborate with AI to design and develop predictive models to identify potential fraud.
• Analyze large datasets to uncover patterns, anomalies, and trends indicative of fraudulent activities.
• Identify cross-squad dependencies and impediments to achieving outcomes.
• Collaborate with cross-functional teams, including data scientists, claims specialists, Call Center, and IT, to integrate fraud detection models into existing systems.
• Collaborate with technical partners to monitor and evaluate model performance ensuring ongoing adjustments to improve detection rates and reduce false positives.
• Mentor and guide junior team members, fostering a collaborative and innovative work environment.

Required Qualifications:

• Bachelor’s or Master’s degree in Business Administration, Statistics, Mathematics, Data Science, Actuarial Science, or a related field. Candidates with other educational backgrounds may also be considered if they demonstrate strong business acumen in these areas. Equivalent combinations of education and experience will be considered for applicants with relevant, domain‑specific expertise
• Minimum of 6 years of experience in the above-related field with a focus on long-term care insurance. Fraud prevention and detection preferred.
• Strong proficiency in statistical software and programming languages such as R, Python, or SAS.
• Experience with data visualization tools and techniques.
• Excellent analytical, problem-solving, and communication skills.
• Proven ability to lead projects and work collaboratively across departments.

When you join our team:

• We will empower you to learn and grow the career you want.
• We will recognize and support you in a flexible environment where well-being and inclusion are more than just words.
• As part of our global team, we will support you in shaping the future you want to see.

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 https://www.manulife.com/en/about/our-story.html.

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 to 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.

It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact [email protected].

Referenced Salary Location

Salary range is expected to be between

If you are applying for this role outside of the primary location, please contact [email protected] for the salary range for your location. The actual salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance.

Manulife/John Hancock offers eligible employees a wide array of customizable benefits, including health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans. We also offer eligible employees various retirement savings plans (including pension/401(k) savings plans and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in the U.S. includes up to 11 paid holidays, 3 personal days, 150 hours of vacation, and 40 hours of sick time (or more where required by law) each year, and we offer the full range of statutory leaves of absence.

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