Field Delivery Automations Program Manager

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**_ Responsibilities: _**
1. Manages internal projects
- Budget as detailed in Impact section Large/ complex/ single or multiple regions.
- May include detailed design of sponsors' high-level concept High risk.

2. Manages project financials including business impact
- Meets or exceeds approved budgets.
- Provides reliable financial forecasts to Management.

3. Manages stakeholder relationships
- Manages upper level stakeholder relationships.

4. Manages project team:

- Manages internal as well as external resources with a team size generally greater than 20 people from multiple countries.
- Mentors and encourages skill development of project team members.
- Provides detailed performance review input and development recommendations for team members.

5. Coordinate different projects as program manager, across the markets allowing effective development and deployment, with a minimum success rate of 80%

6. Monthly or Quarterly revision of the program with each of the market leads to ensure their business needs are incorporated.

7. Validate the ROI calculation with the operations and sign off from L4 /L5 managers.

8. Coordinate the flash report with finance to ensure the targets are complete for the Field and channel.

9. Liaison with the IT team and process team to ensure smooth deployments and process changes.
10. Identify new automation opportunities to ensure the field and channel organization is best in class for the innovation and creativity in HP.

11. Simulate creativity thinking and innovation within the organization.

12. Constantly reviewing the automation metrics such as success rate, bot fallout, business fallout, or any other that will provide a general vision of the health status of the bots.

**_ Education and Experience Required: _**
- First Level University degree.
- 7+ years in project management roles or in like roles/businesses.

**_ Knowledge and Skills: _**
- Demonstrates an in-depth understanding of key Services' operational policies, processes and methodologies applicable to project management.
- Proficient in database systems like SQL
- Ability to work in visualization tools like Tableau, QlikView & PBI
- Data engineering skills, ability to evaluate business processes and data from transactional systems to derive understanding of the information needs, insights, data quality issues and dependencies across the ecosystem
- Experience in data bricks
- Knowledge of Data science workloads related Statistical, machine learning, AI use cases & open source library
- Makes use of and contributes to Services PM Profession community.
- PMP Certified.