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How we Work
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.
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.
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.
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.#LI-Hybrid
À propos de Manuvie et de John Hancock
La Société Financière Manuvie est un chef de file mondial des services financiers qui aide les gens à prendre leurs décisions plus facilement et à vivre mieux. Pour en apprendre plus à notre sujet, rendez vous à l’adresse .
Manuvie est un employeur qui souscrit au principe de l’égalité d’accès à l’emploi
Chez Manulife / John Hancock nous valorisons notre diversité. Nous nous efforçons d’attirer, de perfectionner et de maintenir une main d'oeuvre qui est aussi diversifiée que nos clients, et de favoriser la création d’un milieu de travail inclusif qui met à profit la diversité de nos employés et les compétences de chacun. Nous nous engageons à assurer un recrutement, une fidélisation, une promotion et une rémunération équitables, et nous administrons toutes nos pratiques et tous nos programmes sans discrimination en raison de la race, de l’ascendance, du lieu d’origine, de la couleur, de l’origine ethnique, de la citoyenneté, de la religion ou des croyances ou des convictions religieuses, du genre (y compris grossesse et affection liée à une grossesse), de l’orientation sexuelle, des caractéristiques génétiques, du statut d’ancien combattant, de l’identité de genre, de l’expression de genre, de l’âge, de l’état matrimonial, de la situation de famille, d’une invalidité ou de tout autre motif protégé par la loi applicable.Nous nous sommes donné comme priorité d’éliminer les obstacles à l’accès égalitaire à l’emploi. C’est pourquoi un représentant des Ressources humaines collaborera avec les candidats qui demandent accommodement raisonnable pendant le recrutement. Tous les renseignements communiqués pendant le processus de demande d'accommodement seront stockés et utilisés conformément aux lois et aux politiques applicables de Manuvie. Pour demander une mesure d’accommodement raisonnable dans le cadre du recrutement, écrivez à recruitment@manulife.com.
Région de référence du salaire
Toronto, Ontario
Modalités de travail
Hybride
L’échelle salariale devrait se situer entre
$129,400.00 CAD - $179,400.00 CADSi vous posez votre candidature à ce poste en dehors de la région principale, veuillez écrire à recruitment@manulife.com pour obtenir l’échelle salariale correspondant à votre région. Le salaire varie en fonction des conditions du marché local, de la géographie et de facteurs pertinents liés au poste telles les connaissances, les compétences, les qualifications, l’expérience et l’éducation ou la formation. Les employés ont également la possibilité de participer à des programmes de motivation et de toucher une rémunération incitative liée au rendement de l’entreprise et au rendement individuel.Manuvie offre aux employés admissibles une vaste gamme d’avantages sociaux personnalisables, notamment une assurance soins médicaux, soins dentaires, santé mentale, soins de la vue, invalidité de courte et de longue durée, assurance vie et assurance DMA, assurance adoption, de maternité de substitution et de soins médicaux non urgents ainsi que des programmes d’aide aux employés et leur famille. Nous proposons également aux employés admissibles différents régimes d’épargne-retraite (y compris des régimes de rente et un programme international d’actionnariat assortie de cotisations patronales de contrepartie) ainsi que des ressources en matière d’éducation et de conseils financiers. Notre généreux programme de congés rémunérés au Canada comprend les jours fériés, les congés annuels, les congés personnels et les congés de maladie, et nous offrons toute la gamme des congés autorisés prévus par la loi. Si vous posez votre candidature à ce poste aux États-Unis, veuillez écrire à recruitment@manulife.com pour obtenir de plus amples renseignements sur les dispositions relatives aux congés rémunérés spécifiques aux États-Unis.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. 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 :
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.- 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.- 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.
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