The Data Analytics Senior Manager accomplishes results through the management of professional team(s) and department(s). Integrates subject matter and industry expertise within a defined area. Contributes to standards around which others will operate. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the entire function. Requires basic commercial awareness. Developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers. Has responsibility for volume, quality, timeliness and delivery of end results of an area. May have responsibility for planning, budgeting and policy formulation within area of expertise. Involved in short-term planning resource planning. Full management responsibility of a team, which may include management of people, budget and planning, to include duties such as performance evaluation, compensation, hiring, disciplinary and terminations and may include budget approval.
Responsibilities:
- Integrates subject matter and industry expertise within a defined area.
- Employs developed communication and diplomacy skills in order to guide, influence and convince others, in particular, colleagues in other areas and occasionally external entities.
- Resolves occasionally complex and highly variable issues.
- Produces detailed analysis of issues where the best course of action is not evident from the information available, but actions must be recommended/taken.
- Responsible for volume, quality, timeliness and delivery of data science projects along with short-term planning resource planning.
- Oversees management of people, budget and planning, to include duties such as performance evaluation, compensation, hiring, disciplinary action and terminations and may include budget approval.
- Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards.
Recommended Qualifications:
- 6-10 years experience using tools for analysis of large data sets
Education:
- Bachelor’s/University degree or equivalent experience, potentially Masters degree
The Lead Business Analyst & PMO Lead (Data Analytics) – Vice President (VP / C13) is a dual-capability leadership role combining senior program management (PMO), deep business analysis, strategic stakeholder communication, and advanced data analytics expertise.
This role serves as the central operational engine and strategic bridge between business executives, Markets Line of Business (LoB), Finance, Technology, Risk & Control (R&C), and Internal Audit (IA). The incumbent is responsible for governing the multi-million-dollar program portfolio across internal Project Tracking Systems (PTS), while possessing the deep technical and analytical acumen to step directly into the shoes of a Lead Business Analyst—driving hands-on requirement authoring, complex data lineage mapping, data analytics, and reconciliation framework delivery for major mandates, and Authorized Redistributor Control Onboarding (200+ Applications).
Comprehensive PTS Management: Maintain total governance and accountability for all program entities, project charters, milestones, deliverables, financials, and resource allocations within the enterprise Project Tracking System (PTS).
Portfolio Health & Governance: Monitor project performance against committed milestones, project health scorecards, budget utilization, and critical path dependencies; execute proactive RAID (Risks, Assumptions, Issues, Dependencies) management.
Executive Program Reporting: Design and distribute high-impact program dashboards, Executive SteerCo packs, and Key Risk/Performance Indicators (KRIs/KPIs) to Senior Managing Directors and Business Heads.
Reconciliation & Exception Engineering Oversight: Direct the functional design of complex multi-way matching engines, automated break classification models, and exception triage workflows on enterprise recon platforms (e.g., Internal Tools, TLM, Duco).
Executive-Level Stakeholder Management: Serve as the strategic communication partner to senior leadership across Front/Middle Office, Product Engineering, Operations, and Quantitative teams.
Direct Team Leadership: Supervise, mentor, and develop a team of 6–10 Business Analysts, Project Managers, and Data Analysts, cultivating both functional depth and analytical rigor.
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Job Family Group: Technology------------------------------------------------------
Job Family:Data Analytics------------------------------------------------------
Time Type:Full time------------------------------------------------------
Most Relevant Skills Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
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