HM Note: This hybrid contract role is three (3) days in office. Candidate resumes must include first and last name email and telephone contact information.
Description
- The Data Platform and nbsp;team and nbsp;provides solutions for designing and deploying Data and Cloud Infrastructure reliably dynamically and securely. and nbsp;
- The Data ecosystem includes but is not limited to Azure Databricks Github Data Warehouses ETL Data Pipelines Advanced Analytics Reporting and Data Analytics and Visualization. and nbsp;
- The capability is critical to enable the at-scale delivery of foundational technologies and cloud infrastructure solutions that underpin enterprise and customer solutions.
and nbsp; and nbsp;
- Risk Management: and nbsp;
- Proactively identify and mitigate project risks ensuring that potential issues are addressed in a timely manner. and nbsp;
- Implement best practices to minimize project delivery and operational risks and enhance overall project and portfolio success.
- Vendor Collaboration
- Provide oversight and management of vendor relationships and resources ensuring they align with project objectives timelines and quality standards.
- Stakeholder Collaboration: and nbsp;
- Approach the portfolio with a governance-first mindset.
- Engage with internal stakeholders to understand their data needs and requirements. and nbsp;
- Foster strong relationships with business units ensuring alignment between data initiatives and organizational goals.
- Prepare material for and participate in select steering committees.
- Delivery and amp; Execution
- Partner with engineering leads to ensure smooth sprint planning delivery and release management.
- Make rapid informed decisions on tradeoffs technical constraints and prioritization.
- Monitor platform KPIs such as performance reliability cost efficiency and adoption.
- Backlog Ownership
- Own and prioritize the product backlog based on business value technical feasibility security and compliance.
- Write clear actionable user stories and acceptance criteria for engineering teams.
- Balance shortterm delivery needs with longterm platform evolution.
Must Haves: and nbsp;
- 10years experience and nbsp;
HM Note: This hybrid contract role is three (3) days in office. Candidate resumes must include first and last name email and telephone contact information.DescriptionThe Data Platform and nbsp;team and nbsp;provides solutions for designing and deploying Data and Cloud Infrastructure reliably dynamic...
HM Note: This hybrid contract role is three (3) days in office. Candidate resumes must include first and last name email and telephone contact information.
Description
- The Data Platform and nbsp;team and nbsp;provides solutions for designing and deploying Data and Cloud Infrastructure reliably dynamically and securely. and nbsp;
- The Data ecosystem includes but is not limited to Azure Databricks Github Data Warehouses ETL Data Pipelines Advanced Analytics Reporting and Data Analytics and Visualization. and nbsp;
- The capability is critical to enable the at-scale delivery of foundational technologies and cloud infrastructure solutions that underpin enterprise and customer solutions.
and nbsp; and nbsp;
- Risk Management: and nbsp;
- Proactively identify and mitigate project risks ensuring that potential issues are addressed in a timely manner. and nbsp;
- Implement best practices to minimize project delivery and operational risks and enhance overall project and portfolio success.
- Vendor Collaboration
- Provide oversight and management of vendor relationships and resources ensuring they align with project objectives timelines and quality standards.
- Stakeholder Collaboration: and nbsp;
- Approach the portfolio with a governance-first mindset.
- Engage with internal stakeholders to understand their data needs and requirements. and nbsp;
- Foster strong relationships with business units ensuring alignment between data initiatives and organizational goals.
- Prepare material for and participate in select steering committees.
- Delivery and amp; Execution
- Partner with engineering leads to ensure smooth sprint planning delivery and release management.
- Make rapid informed decisions on tradeoffs technical constraints and prioritization.
- Monitor platform KPIs such as performance reliability cost efficiency and adoption.
- Backlog Ownership
- Own and prioritize the product backlog based on business value technical feasibility security and compliance.
- Write clear actionable user stories and acceptance criteria for engineering teams.
- Balance shortterm delivery needs with longterm platform evolution.
Must Haves: and nbsp;
- 10years experience and nbsp;
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