Description
As a Salesforce Project Manager (Individual contributor), you will lead & own the end-to-end delivery of global, outcomes-based Salesforce implementations using Agile methodologies and modern, AI-enabled delivery practices. You will be accountable for delivery excellence, financial performance, governance, and stakeholder alignment, operating with a strong business-owner & customer-first mindset. This role requires strategic thinking, executive presence, and hands-on delivery leadership to manage complex Salesforce programs, protect project margins, and scale delivery impact across the organisation.
What We Expect
Must Have
What We Expect
- End-to-End Salesforce Delivery & Financial Ownership: Own the complete Salesforce delivery lifecycle, managing scope, timelines, risks, resourcing, and dependencies while ensuring high-quality outcomes and protecting Sold vs. Delivered margins.
- Agile Delivery Leadership: Lead Agile delivery using frameworks such as Scrum and SAFe, driving sprint execution, backlog prioritisation, delivery predictability, and high-performing cross-functional Salesforce teams.
- Program Planning & Roadmap Management: Develop and manage integrated project plans and delivery roadmaps, ensuring transparent progress reporting, risk visibility, and dependency management across the engagement lifecycle.
- Drive Enterprise AI Architecture frameworks from a delivery standpoint, establishing clear project tracking milestones for predictive and generative AI workstreams while managing downstream environment and data dependencies
- Stakeholder & Executive Management: Drive stakeholder alignment through effective communication, executive reporting, governance forums, and proactive escalation management in complex, global environments.
- Focus on Performance Evaluation & ROI by tracking and showcasing program metrics that prove the business value, sprint velocity gains, and adoption rates of deployed Salesforce capabilities to client leadership
- Quality Governance & Delivery Excellence: Establish and enforce delivery governance, standards, and best practices, ensuring compliance, quality benchmarks, and continuous improvement across projects.
- Champion an AI-First Delivery & Engineering methodology by utilizing advanced AI tools, developer assistants, and automated tracking to optimize implementation schedules and boost team development capacity
- Resource & Budget Management: Plan and optimise project resourcing, manage budgets and forecasts, track financials, and mitigate delivery and financial risks throughout the engagement.
- AI-Driven Productivity Enhancement: Encourage the strategic adoption of authorised AI technologies to boost team efficiency and optimise overall project delivery cycles.
- Timezone flexibility: Timezone flexibility to ensure comprehensive support and alignment with global customer needs.
Must Have
- 10+ years of total experience in the IT industry, with 5+ years delivering Salesforce projects.
- Proven experience managing Salesforce implementations across Sales Cloud, Service Cloud, Experience Cloud and/or Industry clouds.
- Strong understanding of the Salesforce delivery lifecycle, with the ability to collaborate effectively with Architects and Technical Leads (hands-on configuration is not required).
- Demonstrated ability to communicate clearly, confidently, and assertively with senior stakeholders and executives.
- Salesforce Certifications (any one): Sales Cloud Consultant, Service Cloud Consultant, or Experience Cloud Consultant.
- Project / Agile Management Certification (any one): PMP, PMI-ACP, SAFe Agilist, PRINCE2, CSM, or PSM.
- Hands-on experience with project management and collaboration tools such as JIRA, Azure DevOps (ADO), MS Project, Smartsheets, Google Workspace.
- Awareness and practical exposure to AI-enabled delivery tools (e.g., Gemini, Notebook LM, Claude) and an Agentic Delivery mindset.
- Willingness to travel on a need basis.
- Experience delivering Salesforce projects in Financial Services, Consumer Goods, Healthcare, or Life Sciences domain(s).
- Exposure to MuleSoft, Salesforce Data Cloud, or related integration and data platforms.
- Familiarity with Agentforce use cases or related Specialist certifications, with a foundational understanding of how to scope, track, and manage digital agent-enabled projects.
