Product Manager - Enterprise Processes

Job Summary

We are looking for a Product Manager Enterprise Processes to own product-led transformation across the end-to-end Order-to-Cash (O2C) and Record-to-Report (R2R) processes. The Product Manager will own the roadmaps for selected enterprise products and initiatives, and the data tracks for commercial planning, long-term capacity planning, and revenue planning. The Product Manager will also use AI-assisted product development to replace legacy workflow solutions with secure, scalable, and supportable enterprise-grade products. 

Also, manage enterprise processes as products defining value, the needs of customers, and business owners, define the Northstar metrics, prioritize the highest-value problems, and mobilize Business and Digital teams to improve measurable business outcomes. 

The Product manager will create and maintain end-to-end process visibility using process mining tools to establish leading and lagging performance measures, identify root causes and improvement opportunities, and provide senior leaders with a clear, evidence-based pulse of process health, risks, outcomes and required interventions. 

Roles & Responsibilities

A. Enterprise Data Products and Planning 

• Own the vision, roadmap, lifecycle, and value realization of data products, ensuring trusted and reusable data for management reporting, operational decisions, analytics, and AI. 
• Lead data tracks of commercial planning, long-term capacity and revenue planning.
• Own Product data management platform with various functions, ensuring Product Master is first time right and enable product movement with adequate controls through the value chain without delays while playing a major role in important initiatives across functions and markets. 
• Use AI to prototype and build (vibe code Enterprise grade) applications to sunset legacy applications, spreadsheets, and manual touchpoints affecting master data quality and process effectiveness

B. Product-led O2C and R2R Transformation 

• Define the product vision, strategy, roadmap and success measures for assigned O2C and R2R journeys; discover and prioritize user and business problems based on value, experience, risk, controls and delivery complexity. 
• Map and maintain L1-L4 end-to-end process architecture in a process mining tool across business units, geographies, roles, systems, controls and key data objects; establish trusted current-state and future-state process views. 
• Use process mining, and Lean methods to identify variants, bottlenecks, rework, exceptions, manual interventions, control gaps and non-value-added activities. 
• Partner with Business and Digital teams to deliver process, policy, data, automation, integration and operating-model improvements that address root causes and improve business outcomes. 

C. Process Performance and Executive Pulse 

• Establish a balanced measurement framework covering leading indicators, lagging outcomes, activity, controls, adoption and user experience, with clear definitions, baselines, targets, ownership and review cadence. 
• Create an integrated enterprise-process pulse highlighting performance trends, root causes, risks, value leakage and priority interventions; translate complex insights into concise executive narratives and decisions. 
• Track outcomes such as OTIF, Perfect Order Rate, Fill Rate, Revenue Growth, Customer Retention, Day 1 Month Closure, Working Capital, and Profitability. 

Qualifications

Educational qualification: Masters in Business Administration, Computer Science, Information Technology, or related field

Minimum work experience: 3 to 8 years of experience

Skills & attributes:

Technical Skills

• Proficiency in project management methodologies such as Agile, Scrum, or Kanban.
• Strong understanding of enterprise application architecture, databases, and integration technologies.
• Familiarity with software development lifecycle (SDLC) processes, including requirements analysis, design, development, testing, and deployment.
• Experience with enterprise software platforms such as ERP (Enterprise Resource Planning), Finance, and SCM (Supply Chain Management) systems.
• Knowledge of cloud computing platforms (e.g., AWS, Azure, Google Cloud) and their application in enterprise environments.
• Good understanding about analytics platforms like Power BI, tableau, etc.
• Good understanding about Robotic Process Automation and Artificial Intelligence.

Behavioural Skills

• Ability to perform tasks independently with minimal supervision, showcasing self-reliance and autonomy.
  • Teamwork and collaboration skills to work effectively in a multidisciplinary environment.
  • Good time management and organizational skills.
  • Team player with good communication and interpersonal skills.
  • Attention to detail and commitment to quality of work.Role & responsibilities