Production Planner

Watts Water Technologies•Franklin, NH

5d•Onsite

About The Position

The Finite Production Planner is responsible for creating a detailed, time-phased production plan by SKU and by line at the shift, hour, and minute level, tailored to the specific requirements of the assets in scope. The Planner balances required and available capacity to optimize service levels, working capital, and capacity costs. This role plays a critical part in ensuring on-time, in-full delivery performance, directly impacting customer satisfaction and trust. By minimizing delays, maximizing schedule adherence, and ensuring product availability when and where needed, the Planner supports a reliable and responsive supply chain that meets or exceeds customer expectations. This position reports to the Master Scheduler and is onsite at the Franklin, NH facility.

Requirements

Bachelor’s degree in Supply Chain, Operations, Engineering, or related field.
4+ years’ experience in production scheduling or planning in a manufacturing environment
Strong MRP knowledge
SAP experience preferred
Excellent knowledge in capacity planning
Global supply chain & production control knowledge, and lean and inventory reduction techniques
Good mathematical and analytical skills
Strong organizational and problem-solving skills, effective communication, and computer skills
Ability to influence across functions without direct authority
Commitment to Watts’ values of integrity, accountability, continuous improvement and innovation, and transparency.
Punctuality and dependability.
Ability to be flexible and adapt to changing work priorities and stressful conditions.
Adherence to all personnel policies, procedures, and standards of process as implemented by Watts.
Maintain productive and collaborative relationships with other Watts employees.
Adherence to Watts’ seven cultural beliefs: Growth Mindset, Customer-Focused Innovation, Constant Communication, Clear Goals, Collaborate Globally, Be Inclusive, and Take Action.
Ability to remain seated at a desk or workstation for extended periods.
Ability to perform repetitive tasks like typing on a keyboard or using a mouse for extended periods.
Ability to physically move around the office, organize or transport files, packages, or other office-related materials.
Ability to read documents, use a computer, and perform data entry tasks.
Ability to communicate clearly with management and coworkers, particularly in meetings or phone calls.
Ability to operate standard office equipment such as computers, printers, phones, and copiers.
Ability to occasionally lift and carry light objects, such as office supplies, documents, or small equipment.

Nice To Haves

APICS certification preferred
SAP experience preferred

Responsibilities

Translate the plans into a detailed finite production schedule
Generate a granular sequence of near-term process orders that fulfill planned orders while respecting asset constraints, labor availability, and changeover logic
Maximize adherence to the daily schedule by optimizing allocation of production resources and minimizing last-minute adjustments
Monitor volume requirements and actively participate in S&OP and S&OE processes by evaluating schedule change needs, assess downstream impacts, and ensure alignment between long-term plans and short-term execution
Proactively flag service risks and schedule adherence impacts when near-term orders deviate from demand or replenishment plans
Ensure the schedule protects the ATP (available to promise) commitments
Ensure schedule changes are well communicated and impact to the customer is mitigated.
Partner with S&OP and S&OE teams to align on planning impact
Support root cause analysis when Line Fill Rate falls below 98%
Collaborate daily with Operations, Maintenance, and Quality teams to resolve execution gaps, address delays, and incorporate planned downtime or holds
Address emergent issues with minimal disruption to output or service levels
Conduct “what-if” scenario modeling to assess the impact of unplanned events (e.g., equipment failure, urgent orders) and recommend schedule adjustments
Monitor finite scheduling master data, including run-rates, yields, constraint logic, changeover matrix, and sequencing rules
Track actual performance vs. plan; adjust data models to reflect observed throughput or output issues.
Monitor key metrics: schedule adherence, line fill rate, production attainment
Support S&OP and S&OE processes by presenting schedule risks, recovery plans, and driver metrics
Participate in and propose continuous improvement events (e.g. Kaizen) to enhance schedule stability and reduce lead times
Share best practices with peers across lines, factories, or regions to strengthen enterprise-wide scheduling maturity