Apply on Kit Job: kitjob.ca/job/2fs48c

As an AI Data Engineer, you will build and operate the data foundation that powers AI/ML and advanced analytics products and applications. You will own the end‑to‑end data operations lifecycle: sourcing and understanding data, designing scalable pipelines, enabling analytics and model development, and partnering with engineering and data science to productionize solutions. You will translate complex data into context for humans and AI applications, implement durable processes, and mentor junior team members.

Position Responsibilities

Data Acquisition & Domain Understanding

- Identify, evaluate, and obtain access to internal and external data sources with minimal guidance.
- Partner with subject matter experts to understand data definitions, quality, lineage, and business context.
- Document datasets using standard templates (metadata, assumptions, refresh cadence, known issues) and present findings to stakeholders.

Data Engineering & Platform Delivery

- Design, build, and maintain robust ETL/ELT pipelines to extract, transform, and stage data for AI/ML and BI consumption.
- Create and manage tables, schemas, and databases; implement data models that support analytics and machine learning use cases.
- Productionize pipelines and datasets with monitoring, alerting, data quality checks, and performance tuning.
- Collaborate with internal/external engineers and data scientists to integrate data science solutions into production systems.

Analytics, Measurement & Reporting

- Deliver ad‑hoc analysis, business analytics, and reporting for projects of moderate scope/complexity.
- Define metrics and acquire data to measure solution effectiveness; communicate results and recommendations to peers and stakeholders.
- Build dashboards and reporting assets (e.g., Tableau/Power BI/Qlik) to support decision‑making.

Process Design & Operational Excellence

- Help design scalable operating processes to implement analytics/AI insights, including:
- Transparent roles and responsibilities across partners
- Defined workflows, system/data flows, and contingencies
- Checks‑and‑balances (validation, QA, approvals)
- KPI tracking and closed‑loop learning to continuously improve outcomes

Communication & Mentorship

- Communicate moderately complex technical and analytical topics to senior team members and business partners.




- Build a strong internal network and leverage senior peers to accelerate delivery.
- Mentor junior team members and contribute to team standards and best practices.

Required Qualifications

- Bachelor’s degree in Computer Science, Engineering, Math, or equivalent practical experience.
- 2+ years of relevant experience in data engineering, analytics engineering, or BI/analytics roles supporting AI/ML or advanced analytics.
- Strong programming skills in Python and/or Java; advanced SQL proficiency.
- Advanced experience with data transformation and modeling for analytics/BI and ML feature readiness.
- Strong understanding of relational databases and data modeling concepts.
- Working knowledge of distributed computing concepts/tools.
- Advanced experience with data visualization tools such as Tableau, Power BI, or Qlik.
- Analytics/ML/AI foundations.

Preferred Qualifications

- Comfortable with AI assisted coding techniques to amplify productivity while retaining control over design (using Github Copilot, Claude Code, etc).
- Ability to explore and mine large structured and unstructured datasets using a systematic approach.
- Familiarity with statistics and common analytical techniques (e.g., regression, clustering, PCA, decision trees, survival analysis).
- Basic understanding of machine learning algorithms and familiarity with common AI/ML toolkits.

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

Working Arrangement

Hybrid

Salary Range

$94,430.00 CAD – $144,430.00 CAD

Location

Toronto, Ontario

Benefits

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.

We use data and analytics technologies, such as artificial intelligence (AI), and automated processing tools, to analyze and process the information you provide to us or third parties in the application process. For more information, please refer to our personal information collection statement.

Equal Opportunity Employer (Japanese)

マニュライフは機会均等を是とする雇用主です。マニュライフ/ジョン・ハンコックでは、多様性を受け入れます。私たちは、サービス提供先であるお客さまと同様に、多様な人材を引きつけ、育成し、定着させ、文化や個人の力を受け入れる包括的な職場環境を促進するよう努めています。当社は公正な採用、定着、昇進、報酬に努めています。当社のすべての慣行およびプログラムは、人種、祖先、出身地、肌の色、民族的出自、市民権、宗教または宗教的信念、信条、性別（妊娠および妊娠関連の状態を含む）、性的指向、遺伝的特徴、退役軍人としての地位、性自認、性に関する表明、年齢、婚姻状況、家族状況、障害、または適用法で保護されるその他の要因に対する一切の差別を行うことなく管理されます。雇用への平等なアクセスを提供するために、障壁を取り除くことが当社の優先事項です。人事担当者は、応募者が応募プロセス中に合理的配慮を要求する場合に協力します。配慮要求のプロセス中に共有されるすべての情報は、適用される法律およびマニュライフ/ジョン・ハンコックのポリシーに準拠した方法で保存および使用されます。申請プロセスにおいて合理的配慮を要求するには、 までご連絡をお願いします。

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Apply on Kit Job: kitjob.ca/job/2fs48c

📌 AI Data Engineer (Toronto)
🏢 Manulife Financial
📍 Toronto