8 days ago

Data Governance Manager

Manulife

On Site
Full Time
CA$179,400
Toronto, ON

Job Overview

Job TitleData Governance Manager
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered SalaryCA$179,400
LocationToronto, ON

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Job Description

Data Governance Manager

Join Manulife as a pivotal contributor in shaping our data governance strategy for unstructured data. As a leader on our Data Governance team, you will focus on adapting our existing data management frameworks to achieve AI ready data. This role is crucial in driving our strategic shift towards operationalizing governance for unstructured data—an essential component in the era of AI and digital transformation. You will apply advanced analytics, and AI expertise to develop and operationalize governance frameworks that align with responsible AI practices at Manulife.

How We Work

Our Global Data Governance Team operates at the intersection of data science, AI, and governance innovation. We collaborate globally across Data Governance, IT, and business teams, translating strategic needs into actionable, data-driven solutions. You will help establish best practices, guidelines, and create advanced solutions that elevate our governance capabilities and support responsible AI adoption.

Position Responsibilities

  • Shape AI Ready Data: Design and implement governance frameworks for unstructured data (images, transcripts, voice, documents, emails, etc.) that support AI and machine learning use cases, ensuring adherence to responsible AI and data management principles as well as compliance to existing and emerging regulation.
  • Collaborate and Transform: Work closely with AI Model Validation and data science teams to gather requirements and translate them into governance solutions and automation strategies that support data related requirements of responsible AI adoption.
  • Innovate and Automate: Enhance governance processes and technologies using data science and AI to support data management for unstructured data, including metadata management, data quality, and lineage tracing.
  • Drive Change: Lead training sessions and initiatives to foster adoption of new frameworks, tools, and capabilities, enabling teams to integrate data governance into AI delivery lifecycle.
  • Manage Risk: Identify and mitigate risks associated with unstructured data storage, access, and usage, leveraging data science techniques to safeguard data assets and ensure ethical AI practices.
  • Champion Quality: Advocate for approaches that enhance the quality and discoverability of unstructured data assets, particularly in AI development contexts.
  • Lead through Insight: Provide insights on emerging trends and best practices in unstructured data governance and AI readiness.

Required Qualifications

  • Formal training or certification in AI, machine learning, or data governance (e.g., CDMP, DAMA, or equivalent) is highly desirable.
  • Undergraduate or post-graduate degree in Data Science, Computer Science, Statistics, Mathematics, Information Systems, or a related quantitative discipline.

Preferred Qualifications

  • Demonstrated commitment to ongoing professional development in data science, AI, and data governance.
  • Experience working in a global enterprise setting in financial services or other regulated industries.
  • Familiarity with the regulatory frameworks and industry practices on data privacy and responsible use of AI.

When You Join Our Team

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

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 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.

Key skills/competency

  • Data Governance
  • Unstructured Data Management
  • AI Readiness
  • Machine Learning
  • Data Quality
  • Metadata Management
  • Data Lineage
  • Risk Management
  • Regulatory Compliance
  • Ethical AI Practices

Tags:

Data Governance Manager
data governance
unstructured data
AI readiness
machine learning
data management
risk management
regulatory compliance
metadata management
data quality
data lineage
AI
advanced analytics
data science
automation
governance frameworks
data security
cloud data platforms
data privacy
ethical AI

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How to Get Hired at Manulife

  • Research Manulife's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
  • Tailor your resume: Highlight experience in data governance, AI, and financial services, aligning with Manulife's needs.
  • Showcase AI/ML expertise: Emphasize formal training, certifications, and practical application of AI/ML in data governance.
  • Prepare for behavioral questions: Focus on examples demonstrating collaboration, innovation, risk management, and change leadership.
  • Understand responsible AI: Familiarize yourself with Manulife's commitment to ethical AI and regulatory compliance in data use.

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