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 willown 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 andmaintainend-to-end process visibilityusing process mining tools to establishleading and lagging performance measures,identifyroot causes and improvement opportunities, and provide senior leaders with a clear, evidence-based pulse of process health, risks,outcomesand 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 ofcommercial planning, long-term capacityand revenue planning.
- Own Product data management platform with various functions, ensuring Product Master is first time right andenable product movement with adequate controls through the value chain without delays while playinga majorrolein 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,roadmapand success measures for assigned O2C and R2R journeys; discover and prioritize user and business problems based on value, experience, risk,controlsand delivery complexity.
- Map and maintain L1-L4 end-to-end process architecture in a process mining tool across business units, geographies, roles, systems,controlsand key data objects;establishtrusted current-state and future-state process views.
- Use process mining, andLean methods toidentifyvariants, bottlenecks, rework, exceptions, manual interventions, controlgapsand non-value-added activities.
- Partner with Business and Digital teams to deliver process, policy, data, automation,integrationandoperating-model improvements that address root causes and improve business outcomes.
C. Process Performance and Executive Pulse
- Establisha balanced measurement framework covering leading indicators, lagging outcomes, activity, controls,adoptionand user experience, with clear definitions, baselines, targets,ownershipand review cadence.
- Create an integrated enterprise-process pulse highlighting performance trends, root causes, risks, valueleakageand priority interventions;translatecomplex insights into concise executive narratives and decisions.
- Track outcomes such as OTIF, PerfectOrder 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