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.

Educational qualification: Master’s in Business Administration, Computer Science, Information Technology, or related field Minimum work experience : 5 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.