- Project Lifecycle Management: Own and manage the complete project lifecycle for advanced analytics initiatives from initiation and planning through execution monitoring and closure ensuring alignment with strategic goals.
- Agile Leadership: Guide and mentor the team in the effective application of Agile/Scrum practices and values to ensure efficient and iterative project delivery fostering a collaborative and adaptive environment
- Technical Facilitation: Drive and facilitate technical discussions and collaboration between data scientists data engineers and business stakeholders to ensure a clear understanding of project requirements and technical feasibility.
- Resource and Budget Management: Effectively plan allocate and manage project resources (including personnel tools and budget) to ensure projects are delivered on time and within budget.
- Risk and Issue Management: Proactively identify assess and mitigate project risks and issues developing and implementing effective resolution strategies.
- Stakeholder Communication: Maintain strong and transparent communication with all stakeholders including business leaders clients and the project team providing regular updates on progress risks and dependencies
- Quality Assurance: Ensure the quality and integrity of analytical deliverables working closely with the team to adhere to best practices and quality standards.
- Process Improvement: Continuously work with internal management to identify and implement improvements to project management processes within the Advanced Analytics team.
- Client Engagement: Work closely with clients to understand their business needs identify new opportunities for advanced analytics solutions and proactively address any concerns to ensure client satisfaction.
- Compliance and Governance: Ensure projects adhere to relevant data governance policies security standards and ethical considerations. .
Requirements
- Bachelors degree in Computer Science Engineering Data Science Business Analytics Project Management or a related quantitative field.
- Minimum of 5 years of experience as a Project Manager preferably with exposure to data science machine learning or business intelligence projects.
- Experience working in Agile/Scrum environments.
- Understanding of data science methodologies machine learning concepts and data engineering pipelines.
- Ability to facilitate technical discussions and understand technical complexities.
Preferred Qualifications:
- Project Management certifications (e.g. PMP Agile certifications like CSM CSPO)
- Experience with specific industry verticals relevant to our business.
- Familiarity with data governance and security best practices.
Minimum of 5+ years of experience as a Project Manager, preferably with exposure to data science, machine learning, or business intelligence projects. Experience working in Agile/Scrum environments. Understanding of data science methodologies, machine learning concepts, and data engineering pipelines. Ability to facilitate technical discussions and understand technical complexities.