Description
Lead a team of Business Analysts within IQVIA's Central Automation CoE to deliver automation and AI value across multiple BUs and regions.
Own portfolio management, people leadership, process/methodology stewardship, and project/delivery oversight.
Ensure rigorous ADLC (AI/Automation Development Life Cycle) execution with Lean discovery, measurable ROI/FTE savings, and audit-ready documentation.
Provide functional leadership for AI and agentic automation initiatives, including use-case discovery, solution feasibility, responsible AI considerations, human-in-the-loop controls, and business value realization.
Key Responsibilities:
1. Portfolio Management & Governance
- Own the BA portfolio across BUs/regions; manage intake via VIA/ServiceNow; maintain pipeline in Smartsheet; link Process IDs across Smartsheet, JIRA, and PSA.
- Partner with PMO on prioritization, capacity planning, and benefits tracking (ROI, FTE savings, cycle-time KPIs).
- Lead governance cadences: Weekly/Biweekly pipeline & delivery reviews, Monthly BU governance, and Quarterly sponsor reviews.
- Balance per-BA workload (~10-12 projects); resolve cross-team dependencies and bottlenecks.
2. People Leadership
- Manage and coach BAs/Sr. BAs: goal-setting, performance management, feedback, and career development.
- Drive upskilling on Lean, ADLC, tools (Power Automate, Alteryx, Python/SQL) and GenAI/agentic technologies (Copilot, Cursor, LangGraph).
- Allocate resources effectively; support hiring, onboarding, and stretch opportunities.
- Foster a team culture of client focus, collaboration, ownership, and innovation.
3. Process & Methodology (ADLC / Lean)
- Define and continuously improve BA standards, templates, and repositories (BRD, PDD, TFD, SDD; SharePoint/Confluence).
- Embed ADLC end-to-end: Intake → L0/L1/L2 Discovery → Technical Discovery → Business Case → Build → UAT → Rollout.
- Maintain RACI, single approval flow, prioritization criteria, and evidence-based traceability.
- Run retrospectives; sustain continuous improvement and team playbooks.
4. Project & Delivery Oversight
- Assure discovery quality and gate readiness; lead Go/No-Go decisions with clear acceptance criteria.
- Oversee RAID management, change control (Major >16 hrs / Minor <16 hrs via VIA/ServiceNow), and compliance requirements.
- Align environments, access, data security, and governance with Architects and PMO.
- Ensure user stories, non-functional requirements, and traceability matrices are complete and testable.
5. Business Analysis & Solution Enablement
- Drive robust business cases (effort, FTE, ROI, payback period) with PMO/Finance inputs via PSA.
- Produce current/future-state process maps and L0/L1/L2 assessments; validate automation feasibility and value.
- Support tool selection (RPA/Power Automate, Alteryx, Python/SQL, OCR, GenAI); assess API/GUI integrations.
- Translate business needs into AI-ready requirements.
6. Stakeholder Engagement & Communications
- Build trusted relationships with BU leaders, SMEs, Architects, and development teams across global time zones.
- Facilitate workshops, executive readouts, and governance forums; manage expectations and escalations.
- Standardize portfolio/delivery reporting (Power BI); champion CoE ways of working.
- Drive benefits realization tracking and coordinate smooth handovers to operations.
Required Qualifications:
- Bachelor's degree in Business, Information Systems, Engineering, or related field
- 6-8+ years in Business/Systems Analysis, Automation, or Digital Transformation
- 3+ years leading Business Analysts or cross-functional delivery teams
- Proven end-to-end ADLC delivery
- Portfolio oversight with PMO
- Delivery fundamentals
- Lean-trained BA; process modeling; benefits modeling; data-driven decisions
- Tooling: VIA/ServiceNow, Smartsheet, JIRA, PSA, SharePoint; Power BI
- Technical fluency: Power Automate/RPA, Alteryx, Python, SQL, OCR, GenAI/agentic tools
- Practical AI business analysis capability
Preferred Qualifications:
- Experience in Automation processes or teams, Shared Services, Operational Excellence, or consulting environment; multi-region delivery.
- Finance or Life sciences or healthcare industry exposure.
- Automation Anywhere, SAP, PSFT, Azure/Databricks, and enterprise integration (API/GUI) experience.
- ITIL, data security, and governance awareness.
- Proven executive stakeholder management and executive-ready communications.
- Experience defining business and functional requirements for GenAI or agentic AI solutions.
- Understanding of AI solution risks and controls