
Senior Product Analyst OKTA
- Full-time
- Employee
Location - Remote
Experience - 10+ Years
Job - Full Time
Job Description -
Roles & Responsibilities
• Advise leading global manufacturing clients (Industrial) on commercial excellence (lead to cash) process consulting, business development and IT product evaluation.
| Location | |
| Job Type | Temporary, Contractor, Full-time |
Position - Salesforce Commercial Excellence Consultant
Location - Remote
Experience - 10+ Years
Job - Full Time
Job Description -
Roles & Responsibilities
• Advise leading global manufacturing clients (Industrial) on commercial excellence (lead to cash) process consulting, business development and IT product evaluation.
• Work in consulting assignments at various client locations. Own work-streams within a large assignment. Lead consulting assignments.
• Drive process transformation and solution leveraging Salesforce ecosystem - Sales Cloud, Service Cloud, Revenue Cloud, Manufacturing Cloud / Automotive Cloud, Experience Cloud
• Support practice building through thought leadership, go to market assets, solution accelerators & frameworks.
• AI Strategy (Salesforce Agentforce, Data Cloud) for Commercial Excellence: Define and lead AI strategy for commercial functions across the customer lifecycle and commercial journeys to identify and prioritize AI use cases aligned to business goals , translate enterprise strategy into a pragmatic AI roadmap, and advise leadership on how to embed AI into commercial operating models, decision-making, and frontline execution.
• Lead discovery workshops with business and digital stake holders to identify, refine, and evaluate AI use cases.
• Business process and process redesign: Redesign business processes to incorporate AI-enabled decision support, automation, recommendations, predictive insights, and agent-assisted workflows.
• Drive process harmonization and cross-functional alignment across front-office and adjacent functions such as supply chain, pricing, product, finance, and field service.
• Build robust business cases for AI initiatives, including value hypotheses, investment requirements, implementation assumptions, risks, and expected ROI.
• Work with enterprise technology and platform teams to align AI strategy with core business platforms and data foundations.
• Partner with senior business leaders across sales, marketing, service, digital, IT, and operations to shape AI agendas and gain sponsorship.
