As a Business Delivery Manager in the HR Data and Analytics team, you are focused on enabling the delivery of products in a consistent and scalable way using strong business acumen and collaboration with cross-functional teams at all levels. Key areas of support include intake, prioritization and liaison for AI/ML, data visualization, technology, and data advisory partnership to drive centralized best practices and synergy. 

Job responsibilities

• Collaborate with a cross-functional teams to execute on key delivery tasks and identified ways to boost efficiencies in a structured approach 
• Partner to identify and manage completion of targeted activities, monitor for adherence to deliverables, and raise blockers or other dependencies in a timely manner
• Support HR product priorities, routines and cadences needed to drive end-to-end implementation of enhanced experiences
• Manage and develop the ongoing need to safeguard our data and partner with control and governance teams to ensure our delivery methods are well controlled 

Required qualifications capabilities and skills

• Minimum 3 years in delivery / program / business management role
• Demonstrated proficiency in MS Office applications (Word, Excel, PowerPoint – PitchPro preferred internally)
• Ability to communicate clearly and confidently across multiple levels of the organization
• Demonstrated ability to independently and proactively manage dynamic workload, drive attention to detail, escalate appropriately, and manage sensitive information with discretion
• Demonstrated experience in agile product deployment processes, including but not limited to hands-on use of:
  • JIRA / Jira Service Management 
  • Luma / Monday.com
  • SharePoint / Confluence

Preferred qualifications, capabilities and skills

• Relevant experience in consulting, client engagement, or project execution with demonstrated experience in data & analytics topics
• Domain knowledge in Human Resources analytics or in the financial services, especially in recruitment, workforce planning, talent & career development, and HR service
• Pragmatic problem solving approach and experience supporting across multiple types of issues in project work
• Ability to navigate ambiguity and willingness to learn new areas of focus (e.g. support functions, software, tools, methodology)
• Understanding or experience of the following tools:
  • Data visualization tools (e.g., Tableau, PowerBI, Qlik)
  • Statistical software or coding languages (e.g., R, SAS, SPSS, Python)
  • Advanced excel skills (e.g., VLOOKUP, INDEX MATCH, advanced conditional formatting, Analysis ToolPak, macros/VBA)
  • Data wrangling (e.g., SQL, Alteryx)