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Senior Product Owner - Customer Data Platforms (CDP)

Toronto, ON
  • Number of positions available : 1

  • To be discussed
  • Starting date : 1 position to fill as soon as possible

Senior Product Owner - Customer Data Platforms (CDP) coordinate requirements, lead the planning and delivery of CDP implementations with Data Engineers and business analysts on the team.

Position Responsibilities:

Requirements Coordination & Documentation:

  • Coordinate with Business, Marketing and Program Management partners to gather and document requirements for Customer Data Platforms (CDP) implementation use-cases.
  • Collaborate with customers from Data Enablement and Engineering teams to analyze and detail technical dependencies.
  • Ensure that requirements are well-defined, aligned with business objectives, detailed, and communicated clearly to technical teams.
  • Collaborate with business analyst, data engineers, web data specialists to plan and prioritize delivery of CDP use-cases and improvements.
  • Develop and maintain project plans, timelines, and resource allocations to ensure timely achievement of project goals.
  • Communicate timelines effectively with internal and external teams.

Change Management:

  • Oversee the process for logging, prioritization and planning of change requests for CDP projects.
  • Assess the effect of changes on current processes and systems and collaborate with collaborators to implement required adjustments.

Stakeholder Management:

  • Serve as the main point of contact for collaborators involved in GWAM Canada Retirement CDP projects.
  • Facilitate communication and alignment between business units and technical teams, addressing any issues or concerns.
  • Coordinate with data engineering, web data engineering, and business analysis teams to achieve project goals and develop a collaborative environment for successful outcomes and effective problem-solving.

Required Qualifications:

  • 5+ years of experience as a Product Owner or similar role, particularly on MarTech implementation projects.
  • Experience in financial services industry in Canada is a plus.
  • Bachelor’s degree in Business Administration, Information Technology, Data Science, or a related field, or equivalent experience.
  • Relevant certifications or additional training in CDP, digital transformation, or project management are preferred.
  • Demonstrated experience leading digital transformation projects and handling multi-functional teams.
  • Familiarity with Customer Data Platforms (CDP), preferably Adobe Experience Platform (AEP).
  • Knowledge of offline data integration and Azure Data Lake is highly desirable.
  • Understanding of data engineering and web and app data collection principles.

When you join our team:

  • We’ll empower you to learn and grow the career you want.
  • We’ll 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’ll support you in shaping the future you want to see.

#LI-Hybrid

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 recruitment@manulife.com.

Primary Location

Toronto, Ontario

Working Arrangement

Hybrid

Salary range is expected to be between

$92,190.00 CAD - $171,210.00 CAD

If you are applying for this role outside of the primary location, please contact recruitment@manulife.com 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 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 and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in Canada includes holidays, vacation, personal, and sick days, and we offer the full range of statutory leaves of absence. If you are applying for this role in the U.S., please contact recruitment@manulife.com for more information about U.S.-specific paid time off provisions.


Requirements

Level of education

undetermined

Work experience (years)

undetermined

Written languages

undetermined

Spoken languages

undetermined