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Dernière mise à jour : il y a 12 heures
Director of Data Platforms responsible for the strategic direction, development, and management of data systems and ensuring AI readiness, supporting Open Banking initiatives, and leveraging Microsoft technologies. - DIREC005346

Director of Data Platforms responsible for the strategic direction, development, and management of data systems and ensuring AI readiness, supporting Open Banking initiatives, and leveraging Microsoft technologies. - DIREC005346

S.i. SystemsVictoria, CA
105 000,00 $CA – 125 000,00 $CA par an
CDI
Our Financial Services Client is seeking a.Director of Data Platforms responsible for the strategic direction, development, and management of data systems and ensuring AI readiness, supporting Open...Voir plusDernière mise à jour : il y a plus de 30 jours
  • Offre sponsorisée
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Director of Data Platforms responsible for the strategic direction, development, and management of data systems and ensuring AI readiness, supporting Open Banking initiatives, and leveraging Microsoft technologies. - DIREC005346

Director of Data Platforms responsible for the strategic direction, development, and management of data systems and ensuring AI readiness, supporting Open Banking initiatives, and leveraging Microsoft technologies. - DIREC005346

S.i. SystemsVictoria, CA
Il y a plus de 30 jours
Salaire
105 000,00 $CA – 125 000,00 $CA par an
Type de contrat
  • CDI
Description de poste

Our Financial Services Client is seeking a Director of Data Platforms responsible for the strategic direction, development, and management of data systems and ensuring AI readiness, supporting Open Banking initiatives, and leveraging Microsoft technologies. - DIREC

This is a Permanent Opportunity, Remote - Preferred Candidate location : British Columbia, open to Ontario and Alberta.

Must Have :

  • 10+ years of experience in data management , with at least 5 years in a Director / Leadership role.
  • Proven experience in data architecture, data governance, and data platform management .
  • Strong knowledge of data technologies such as SQL, NoSQL, big data platforms, cloud data services (e.g., AWS, Azure), and data visualization tools.
  • Expertise in Microsoft technologies, including Azure Synapse and Microsoft Fabric.
  • Experience with AI and machine learning technologies and methodologies.
  • Knowledge of Open Banking standards and regulations.
  • Excellent leadership, communication, and interpersonal skills.
  • Ability to translate business needs into technical requirements and Agile solutions.
  • Strong project management skills with experience in Agile methodologies.
  • Bachelor’s degree in computer science, Information Technology, Data Science, or a related field;

Nice to Have :

  • Master’s degree
  • Familiarity with financial services industry and regulatory requirements is an asset.

    • Responsibilities :

  • Develop and execute a comprehensive data platform strategy aligned with business objectives. Ensure the data platforms support data-driven decision-making and innovation across the organization. Stay abreast of industry trends and emerging technologies to continuously improve data capabilities.
  • Build and scale a high-performing cross-functional team of data engineers, architects, and analysts. Foster a collaborative and innovative team culture focused on continuous improvement, agility, and excellence. Promote a culture of accountability, transparency, and empowerment within the team. Provide ongoing mentorship and professional development opportunities to enhance team capabilities.
  • Identify and implement modern data technologies and tools to improve the team's efficiency and effectiveness. Drive the adoption of best practices and cutting-edge methodologies in data engineering, analytics, and data science. Encourage a learning and growth mindset, ensuring the team stays current with the latest industry trends and advancements.
  • Develop and implement strategies to integrate AI and machine learning capabilities into data platforms. Ensure the team is equipped with the skills and tools necessary to leverage AI for predictive analytics, automation, and enhanced decision-making. Collaborate with data scientists and other stakeholders to identify and execute AI-driven initiatives.
  • Lead the development and implementation of data strategies to support Open Banking initiatives. Ensure data platforms are compliant with Open Banking standards and regulations. Collaborate with internal and external stakeholders to facilitate secure and seamless data sharing.
  • Leverage Microsoft technologies, including Azure Synapse and Microsoft Fabric, to enhance data platform capabilities. Implement and manage data solutions using Azure Synapse for big data analytics and data warehousing. Utilize Microsoft Fabric to create scalable, high-performance data fabrics that support advanced analytics and reporting. Ensure seamless integration of Microsoft technologies with existing data platforms and workflows.
  • Oversee the design, implementation, and maintenance of scalable and secure data architectures. Establish and enforce data governance policies, ensuring data quality, integrity, and compliance with regulatory requirements. Work with IT and security teams to ensure data platforms are secure and resilient.
  • Collaborate with business units to understand their data needs and provide Agile solutions that drive business value. Communicate data strategy, progress, and results to senior leadership and other stakeholders. Act as a liaison between technical teams and business units to ensure alignment and effective data utilization.
  • Manage projects related to data platform development and enhancements, ensuring they are delivered on time, within scope, and within budget. Utilize Agile methodologies (e.g., Scrum, Kanban) to track progress, manage risks, and report on outcomes. Facilitate Agile ceremonies such as sprint planning, daily stand-ups, sprint reviews, and retrospectives.
  • Ensure the data platforms are operating efficiently and effectively, with minimal downtime. Implement best practices for data management, including data integration, ETL processes, and data warehousing. Optimize data storage, retrieval, and processing to support business analytics and reporting needs.