An ideal candidate for this profile should be able to:
- Oversee the functioning of an entire subject area e.g. Subscriptions and Acquisition.
- Effectively use Agile development techniques – like Scrum and/or Kanban to monitor and improve the key process indicators within each team
- Plan and impart training on essential processes to all members of the team
- Track and mitigate any risks and impediments the team has that might come in the way of meeting timelines or quality standards
- Conduct a technical deep dive on any troubleshooting sessions and/or production problems
- Provide review feedback/guidance to the team on any design/implementation task that requires oversight from the TPM
- Understands the team’s product and charter with both technical and business context
- Being able to articulate the business value and customer impact of the team’s work and dependency to external team members
- Identifies and manages upstream and downstream dependencies between team and components
- Appropriately identifies risks and mitigation plans, dependency impediments, etc. for the team
- Solid grasp of agile practices including managing scrum processes and ceremonies
- Team capacity / velocity
- Sprint planning, demos, and retrospectives
- Backlog grooming
- Issue triage
- Ability to successfully optimize agile practices / ceremonies to more effectively accommodate team norms.
Qualifications
- A Bachelor’s Degree in Computer Science, Data science, Statistics, Engineering or a related field
- 10 – 15 years of experience designing and developing software in Data Engineering, Application development or a related area of which 5 years in Agile Technical project management
- Has demonstrated ability to manage multiple projects and expectations of multiple stakeholders while working with diverse and geographically distributed scrum teams
- Has demonstrated excellent organization and time management skills
- Has demonstrated ability to drive planning, execution and project monitoring and control via key process indicators and other project metrics
- Has demonstrated technical problem-solving abilities in the area of Data engineering using tools like SQL / Python
- Good to have – exposure to Big Data storage and computing technologies like Hadoop & Spark
- Excellent communication skills. Is able to articulate requirements and expectations of stakeholders and management to the engineering teams and status of deliverables and other artifacts to stakeholders and management.