Data Project Manager
Technical skills:
Primary Skill: SQL, Datawarehouse, Azure tech stack – Azure Data Factory (ADF), Databricks, Synapse
Secondary Skills: Knowledge of any BI reporting tool like Power BI or Tableau
Good to have skills:
Candidates having these extra skills on their resumes are an added advantage while assessing the profile. Some of them are as follows:
- Expertise in Insurance domain
EXPERIENCE/SKILLS:
- Min 15 years work experience in successful delivery of complex data related projects end to end.
- Experience in Agile or DataOps delivery, quality practices, techniques, and tools at all layers of data engineering
- Tech-savvy and good understanding of recent technologies incl. Azure cloud API, inclusion of unstructured data, business intelligence tools.
- Familiarity with JIRA and other prioritization tools
- Knowledge and experience with project management methodologies (Agile/Waterfall) to work with intricate, multifaceted projects.
- Excellent communication and coordination skills
- Comfortable with changing and flexible requirements from business owner
- Customer oriented attitude
- High degree of self-motivation
- Experience managing third party relationships in the successful achievement of customer deliveries.
- Demonstrated track record of delivering high quality projects & programs up to medium to large sized accounts.
- Demonstrated experience in successful delivery of complex data related projects end to end.
- Ability to communicate clearly to all levels and present to senior leadership.
- Ability to lead, motivate & direct med-large sized engineering delivery teams.
- Ability to help define delivery management core processes and improvement opportunities.
- Demonstrated attentiveness to quality and productivity as outcomes.
- Advanced analytical, problem solving, negotiation and organizational skills.
- Ability to manage significant delivery budgets and minimize program variances.
- Strong ability to lead teams across multiple shores.
- Strong ETL skills and working experience with SSIS and related functions.
- Knowledge of data warehouse and data lake frameworks
