I&F Decision Sci Practitioner Manager
Designation: I&F Decision Sci Practitioner Manager
Qualifications:Any Graduation
Years of Experience:13 to 18 years
About Accenture
Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 784,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com
What would you do? • Accenture is a global professional services company specializing in strategy, consulting, technology, operations, digital, cloud, and security services. With approximately 699,000 employees serving clients in 120+ countries, Accenture helps organizations drive innovation and create value through technology and human ingenuity. Visit us at www.accenture.com. • Carry out in depth process analysis to identify areas of improvement in P2P processes across Process, Policy, People & Platforms. Recommend solutions leveraging analytics and take client approvals to deploy the assets or solutions. • P2P + Analytics delivery; Procure to Pay; Project Management; P2P + Python; P2P + Finance Transformation, Procure to Pay - Month Close; Analytics asset delivery; Power BI, SQL, my SQL, Python,
What are we looking for? • Conduct end user training on F&A Analytical Solutions • Ensure compliance with data security and governance requirements for deployed solutions • Build long term relationships with stakeholders and handle major customer escalations to strengthen customer relationships and grow the business • Strong Subject Matter Expert in the Procure to Pay Process, with experience analyzing Vendor Master, Invoice Processing, Payments, Reconciliations and T&E in Data & AI powered transformation delivery roles • Strong Technical SME in Analytics solution deployment for P2P • Excellent analytical skills • Great conversational skills • Self-motivated; works effectively both independently (including in individual contributor roles) and as part of a cross-functional team • Ability to work in an ambiguous work environment • Ability to prioritize conflicting activities • Ability to work in Horizontal Vertical Structure
Roles and Responsibilities: • Act as Analytics, AI & Transformation Lead Advisory in Procure to Pay domain for clients and stakeholders, across the industries (e.g., Resources, Products, CPG, Telecom, Retail, Financial Services, Hospitality, Logistics & Supply chain, etc.) • Carry out in depth process analysis to identify areas of improvement in P2P processes across Process, Policy, People & Platforms. Recommend solutions leveraging analytics and take client approvals to deploy the assets or solutions. • Take 360o ownership of Analytics and AI solutions built and run by the AI & Data team, incl. • As a Process SME, translate complex business operations into clear AI and Data analytics use cases. • BRD Ownership: Ensure documentation of detailed Business Requirement Documents (BRDs), functional specifications, and user stories. • Solution Architecture: Design the functional end to end data flow and analytical solution blueprints. • Data Privacy: Review Customer Data Platform (CDP) ingestion pipelines for user consent and privacy compliance. • App Security: Coordinate with InfoSec teams to ensure penetration testing and vulnerability fixes. • Legal Clearances: Secure approvals for data usage, third party libraries, and AI model bias constraints • Inventory Management: Register and maintain the application profile in the enterprise IT asset inventory. • Agile Leadership: Guide development teams through sprints, clearing blockers and explaining business logic. • Tenant Lifecycle: Manage custom code branches and configuration builds for every unique client instance. • Quality Assurance: Lead User Acceptance Testing (UAT) by defining test scenarios and validating model accuracy. • Release Management: Oversee deployment engineering, hyper care support, and formal go live procedures. • Run Operations: Monitor daily application performance, data pipelines, and AI model drift in production.
Bengaluru
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