- Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s degree preferred.
- 8-15 years of experience in project or program management with a focus on data engineering or data-related projects..
- Proven track record of delivering complex projects on time and within budget.
- Strong understanding of data engineering concepts, including data pipelines, ETL, data warehousing, and big data technologies.
- Experience with data tools and platforms (e.g., Apache Spark, Hadoop, Airflow, AWS/Google Cloud Platform/Azure data services, SQL).
- Strong knowledge of project management methodologies (e.g., Agile, Scrum, Waterfall).
- Excellent organizational, communication, and leadership skills.
- Ability to navigate and manage project dependencies across multiple teams.
- Proficiency with project management tools (e.g., JIRA, Microsoft Project).
- Experience working in a software development or IT infrastructure environment.
- Technical background or familiarity with cloud computing, software development lifecycle, or DevOps.
- Project Management Professional (PMP) certification, ITIL, SAFE or Certified Scrum Master (CSM) is a plus.
- Experience with data analysis or business intelligence projects.
Strong banking product experience in Retail, Cards, Deposits, Mortgage, Risk & controls etc.