Manager, Data & AI Engineering

Definity Financial; Toronto; On-site; CAD 120,000 - 180,000; Full time

Job summary

Definity Financial is seeking a Manager in Data & AI Engineering to lead the Data Engineering function. This role involves shaping strategy and delivering scalable data solutions, mentoring a high-performing team, and driving innovation in data architecture. The ideal candidate has extensive experience in Big Data solutions and leadership.

Qualifications

• 6+ years in Big Data and Data Analytics; strong focus on scalable solutions.
• 2+ years in leadership; experience with multicultural teams.
• Deep expertise with big data systems and processing structured/unstructured data.

Responsibilities

• Define and execute the technical roadmap for scalable data solutions.
• Lead the Data Engineering team and manage performance and development.
• Oversee design and implementation of complex data programs and pipelines.

Skills

Problem-solving

Collaboration

Stakeholder management

Data governance

Education

Bachelor's degree in Computer Science

Tools

Big query

Databricks

ETL tools

Kafka/PubSub

Airflow

Job description

We are seeking an experienced and visionary Manager, Data & AI Engineeringto lead our critical Data Engineering function. In this pivotal role, you will be responsible for shaping the strategy, development, and delivery of robust, scalable, and high-quality data solutions across our core platforms (Policy, Claims, Billing). You will balance rapid innovation with long-term architectural stability, ensuring our data ecosystem empowers advanced analytics, machine learning, and critical business insights.

What You Will Do

• Strategic Leadership:
  • Define and execute the technical roadmap for our scalable data solutions, ensuring alignment with overall business and AI strategies.
  • Lead the creation and evolution of our Cloud Data Platform strategy, vision, and framework.
  • Drive continuous improvement in data ingestion, curation, consumption insights, and overall data governance practices.
  • Drive Data products vision and translates it into tangible business value
• Team & Talent Development:
  • Lead, mentor, and grow a high-performing, distributed Data Engineering team, fostering a collaborative, inclusive, and innovative culture.
  • Manage team performance, development plans, and career progression, building a strong, cohesive unit.
• Technical Oversight & Delivery:
  • Oversee the design, development, and implementation of complex data programs and pipelines using Big query ,Spark, PySpark, ETL tools, and other big data technologies.
  • Ensure the delivery of high-quality, robust, and timely data products that meet critical business requirements for Policy, Claims, and Billing.
  • Champion best practices in code quality, documentation, and data architecture within the team.
• Cross-functional Partnership:
  • Collaborate closely with product leaders, Data Scientists, and other engineering and business stakeholders to translate complex business problems into technical solutions.
  • Regularly align on project commitments, priorities, and strategic initiatives to ensure successful execution.
• Innovation & Problem Solving:
  • Incubate new technologies and methodologies within the Big Data and AI ecosystem, sharing professional perspectives and guiding adoption.
  • Act as a strong problem-solver, adept at navigating complex data challenges and proposing pragmatic solutions.

What We’re Looking For

• Experience & Leadership:
  • 6+ years of progressive experience in Big Data and Data Analytics, with a strong focus on engineering scalable data solutions.
  • 2+ years of proven leadership experience in managing and developing high-performing data engineering or technology teams, including a track record of fostering talent in a multicultural distributed environment.
• Technical Acumen:
  • Deep hands-on expertise with big data systems and experience in processing structured and unstructured Data
  • Proficiency in programming languages like Python and extensive experience with Databricks or similar data platforms.
  • Solid experience with ETL tools (Big query , Databricks, snowflake,Dataflow ), stream processing technologies (e.g., Kafka/PubSub), and scheduling tools(CNTRLM, Airflow).
  • Experience with cloud platforms (GCP experience preferred) and a passion for cloud-native data architectures.
  • Familiarity with incident management process , intake , estimation process
• Core Competencies:
  • Exceptional problem-solving abilities with a track record of tackling complex data challenges and delivering practical, impactful solutions.
  • Strong communication, collaboration, and stakeholder management skills, capable of influencing and aligning diverse teams.
  • A natural leader who fosters an inclusive environment, empowers team members, and drives a culture of continuous improvement and innovation.
• Education:
  • Bachelor's degree in Computer Science, Mathematics, or a related quantitative field.

Role ID - 172