Project Manager, Data & Analytics Service Delivery

General Description The Project Manager in the GTS – Data & Analytics team serves as the primary demand intake and service delivery coordination point for the Dalian-based shared services team, covering data engineering, BI/reporting, and RPA workstreams that support China business operations. This role is the day-to-day interface between Business Partners (BPs), business stakeholders, and the Dalian engineering delivery teams. The PM receives and triages incoming business requests, coordinates with technical managers on capacity and assignment, ensures alignment with the team's delivery standards and Databricks/Power BI platform capabilities, tracks delivery progress, and manages stakeholder expectations. The position plays a critical role in improving execution predictability, resource utilization, and stakeholder communication, ensuring the delivery hub operates efficiently and delivers business value on time. The PM is expected to leverage AI-powered tools for project documentation, status reporting, and operational analytics to improve efficiency and delivery visibility. Essential Functions of the Job Serve as the primary intake point for business requests from BPs across all domains, receiving, documenting, classifying (Data Engineering / BI-Reporting / RPA), and routing requests to the appropriate delivery team. Coordinate requirement clarification with BPs and business stakeholders, ensuring all technical confirmations are obtained before assignment. Coordinate with the Data Engineering Manager and BI Engineering Manager on resource availability, capacity planning, and work assignment for incoming requests. Develop and maintain project plans, timelines, and resource allocation across data engineering, BI, and RPA teams. Track project progress, identify risks and blockers, and drive timely resolution through escalation and stakeholder alignment. Facilitate regular status reporting and governance meetings, providing transparent visibility into delivery pipeline, capacity, and progress. Manage stakeholder expectations through proactive communication, clear SLA definitions, and regular progress updates. Establish and improve the demand intake process, delivery workflows, templates, and governance mechanisms as part of the shared services operating model to increase execution predictability and operational efficiency. Track and report delivery metrics, including ticket throughput, effort distribution, SLA adherence, and team utilization. Coordinate cross-team dependencies between data engineering, BI, and RPA workstreams to avoid bottlenecks and ensure smooth delivery. Own the consolidated project status reporting function: maintain a centralized view of all active projects across data engineering, BI, and RPA workstreams, produce periodic status summaries and milestone tracking reports, and deliver structured periodic reports (e.g., monthly or quarterly) covering delivery progress, key accomplishments, risk items, and resource utilization to leadership and stakeholders. Support leadership in strategic planning, roadmap alignment, and quarterly business reviews, providing data-driven delivery insights and capacity forecasts. Escalate priority conflicts between workstreams to the team lead when consensus cannot be reached with technical managers. Leverage AI-powered tools and assistants to improve project documentation, status reporting, stakeholder communication, and operational analytics. Support the adoption of standardized delivery frameworks and service management practices aligned with shared services best practices. Supervisory Responsibilities This role does not have direct people management responsibilities but plays a key coordination role across the data engineering, BI, and RPA teams, influencing priorities and delivery through project governance processes. Computer Skills Proficiency in project management and ticketing tools (e.g., Jira, Azure DevOps, ServiceNow, or similar platforms) Strong skills in Microsoft Office suite, particularly Excel and PowerPoint for reporting, analysis, and stakeholder communication Experience with collaboration and communication platforms (e.g., Microsoft Teams, SharePoint) Familiarity with data engineering, BI, and RPA concepts, including general understanding of Databricks lakehouse, Power BI reporting, and medallion architecture concepts, sufficient to facilitate requirement discussions and understand delivery dependencies (deep technical expertise is not required). Experience with project tracking dashboards, delivery metrics, and status reporting tools Understanding of Agile and Waterfall project management methodologies Experience with or willingness to adopt AI-powered tools for project documentation, reporting automation, and operational analytics. Other Qualifications 5+ years of experience in project management, service delivery management, or program management roles Proven track record of managing multiple concurrent projects across cross-functional teams Strong stakeholder management and communication skills, with the ability to build trust with BPs and manage expectations across business and technical audiences Experience with demand management, capacity planning, and resource coordination across multiple delivery streams Ability to triage and classify technical requests with sufficient domain understanding to route them correctly PMP, PgMP, or equivalent project management certification is preferred Experience working in IT, data, or technology service delivery organizations is preferred Experience working in Pharma, BioTech, or large-scale corporate environments is a plus Experience working in shared services, global capability centers, or centralized delivery organizations is preferred. Familiarity with leveraging AI tools to improve project management productivity and reporting quality. Good written and spoken English required, with the ability to produce clear project documentation, status reports, and participate in cross-regional coordination meetings. Travel Occasional travel may be required, up to 15%, depending on business needs. 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