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Sr. Production Planning Lead, GFS PPT

Amazon

Sr. Production Planning Lead, GFS PPT

Amazon

Bengaluru, KA, IND

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Healthcare

401(k)

Equity

Parental Leave

Healthcare

401k

Equity

Parental Leave

Required Skills

Labor Planning

Supply Chain Management

Data Analysis

SQL

Excel

Team Leadership

Business Analytics

JOB DESCRIPTION:

Scope of Role:

The role leads a team of analysts and is responsible for labor planning activities across JP Customer Fulfilment Network. The core functionality of the role is to lead the network planners and act as a Subject Matter Expert who can teach and influence all aspects of production planning tactically and strategically. The role is expected to be highly analytical, understand complex systems and influence the various stakeholders impacting labor planning, including FC/DS Operations, Ops Finance, HR, S&OP and Workforce Staffing teams, in order to develop labor plans that are accurate and achievable across the FCs. The decisions made by this role can have a significant impact on inventory placement, associate experience and overall costs associated with how well the labor plan balances between the site and the network level constraints.

While planning and execution are critical to the role's success, the ability to communicate the short and long-term staffing strategy of the network is essential. The role is expected to develop the labor planning guidance, influence Ops Senior Leadership to commit to that guidance and then be able to communicate this guidance to hundreds of Ops, Finance and HR leaders within the FC/DSs and monitor adherence in execution. This guidance would cover a wide array of topics such as volume variability, site execution, assumptions accuracy, market constraints and labor utilization. Due to the size and scale of the network, the role’s ability to lead a team capable of communicating the strategy to leadership teams across the network is required in order to earn trust of these teams. This ability to build strong communication between PPT and the FC/DS teams is a critical component to aid in the role's ability to anticipate forward-looking risks and implement timely solutions to mitigate these risks and balance network capacity across the FC/DSs.

The role is expected to possess an analytical approach in collaboration with teams such as S&OP, Capacity, and ACES (Ops Excellence) to implement long-term strategic initiatives which improve customer and associate experience while balancing FC labor and storage constraints. The role must also recognize the ever-present challenges with accuracy of the assumptions that go into labor planning and strive for deeper understanding of inputs and variation in planning assumptions which dictate the overall short and long term staffing outputs. To achieve the automation in labor planning and systematically eliminate immaterial decision making, the role is also responsible for education and adoption of the new automated tools that are developed by the Tech teams.

Job Responsibilities include:

· Lead labor planning activities in JP network for all SSD sites
· Drives creation of quality initiatives, process change initiatives and other Lean initiatives to improve the Labor Planning process which ultimately enable the network to meet and exceed business plan.
· Leverages the Production Planning and S&OP teams by sourcing and nurturing ideas, and rolling them into the creation of improvement plans for the Supply Chain Planning and execution.
· Takes proactive steps to ensure that best practices in labor planning are shared across the network.
· Manage others, develop exceptional talent, and encourage your team to challenge assumptions
· Promote recruiting efforts across the network to continually hire and develop the best
· Recommend, develop, and implement policies and programs that guide the organization in maintaining and improving its competitive position and profitability
· Work with data source providers and technology teams to ensure that key decision data is accurate, automated and timely

Key Characteristics:
· Proven expertise managing, evaluating, analyzing quickly and creating meaningful business reporting
· Proven ability to develop strategic relationships with your business partners – you influence the decisions. You can root cause issues quickly and uncover core issues using data, then assist, consult with, and teach the business how decisions affect costs in their sites and create new mechanisms as they are needed
· Proven ability to manage a team with competing priorities & provide level-headed guidance during unexpected events

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Basic Qualifications

  • Bachelor's degree in mathematics, engineering, statistics, computer science, business administration or a related field
  • Bachelor's degree or equivalent, or 3+ years of supply chain management (e.g. logistics, inventory turn management, forecasting, operations) experience
  • Experience completing complex tasks quickly with little to no guidance and react with appropriate urgency to situations that require a quick turnaround, or experience with executive level calendar management
  • Experience in written and oral communication, including the ability to communicate with all levels in the organization (technical, business, executive)
  • Experience in business analytics with demonstrated proficiency in quantitative analysis using SQL, databases, and Excel in a business environment

Preferred Qualifications

  • Master's degree in supply chain management, operations, engineering, analytics or related field
  • Experience that includes strong analytical skills, attention to detail, and effective communication abilities, or experience in technical support
  • Experience in automation and programming
  • Knowledge of Six Sigma tools, Lean techniques, PMP or similar standards preferred
  • Knowledge of Six Sigma, Lean manufacturing efforts, transportation and logistics, or fulfillment and distribution centers
  • 6+ years of performance metrics, process improvement or lean techniques experience
  • Experience working in fast paced environments, and managing workload even during times of stress, or escalated activity
  • Bachelor's degree in operations, supply chain or logistics, or 6+ years of managing department spend and labor budgets, performing root cause analysis (RCA), and implementing continuous improvement (CI) experience

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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About Amazon

Amazon

Amazon

Public

Amazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.

10,001+

Employees

Seattle

Headquarters

Reviews

2.9

10 reviews

Work Life Balance

2.8

Compensation

3.7

Culture

2.5

Career

2.3

Management

2.1

35%

Recommend to a Friend

Pros

Good pay and compensation

Strong benefits package

Flexible scheduling options

Cons

Poor management and leadership

Limited growth and promotion opportunities

High stress and demanding work environment

Salary Ranges

2 data points

L2

L3

L4

L5

L6

M3

M4

M5

M6

Intern

L2 · Revenue Operations L2

0 reports

$163,421

total / year

Base

$65,368

Stock

$81,711

Bonus

$16,342

$114,395

$212,447

Interview Experience

10 interviews

Difficulty

3.7

/ 5

Duration

21-35 weeks

Offer Rate

20%

Experience

Positive 10%

Neutral 10%

Negative 80%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Loop

6

Team Matching

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Leadership Principles

Technical Knowledge