Dir Fulfillment Optimization

**Director, Fulfillment Optimization Analytics**:
A role in **Fulfillment Optimization Analytics** means creating industry leading intelligence solutions to drive best in class omnichannel guest experiences at the lowest cost to Target. You will focus on optimizing inventory management, inventory placement and positioning decisions, leveraging deep business insights and analytics to propel Target’s last mile fulfillment. We design inventory optimization strategies and leverage technology to ensure our inventory is available at the right time, in the right places and quantity to meet the needs of our guest, stores and operational goals. Super-powered first and foremost by our people, and supported by robust process and technology, we are a team of data-focused, curious minds who love to solve hard problems to enable a dynamic, fast paced Supply Chain Network. Our modern operating systems are built by Target and lead in the arena of automated large-scale supply chain planning and optimization systems running large-scale solves for complex optimization problems.

The **Fulfillment Optimization Analytics** is part of Global Inventory Management team and responsible for providing insights, leading strategy, and optimization-based initiatives to drive the efficiency of Target’s inventory placement and positioning decisions. The team member will need to use data engineering skills, statistical knowledge, simulation and modeling techniques while collaborating with data science, product, technology and business partners to transform Target’s fulfillment. This role will support cross-pyramid business teams and coordinate solutions across enterprise functions impacting productivity savings goals, system configuration accuracy (i.e. transit time, lead time, etc.), product roadmaps and process optimization
- REPORTING/WORKING RELATIONSHIPS: Reports to the Senior Director, Fulfillment Optimization based out of Target HQ in Minneapolis, MN, USA. This will be a people manager role, and Director will be responsible to lead a team of 13 team members focused on creating solutions to optimize inventory management. Leader works closely with Target Tech and data science team across globe. Partners closely with Digital, Global Supply Chain & Logistics teams, Store Operations, etc.

PRINCIPLE DUTIES AND RESPONSIBILITIES
- Understands Target’s supply chain data across dot com and store channels.
- Based on data, learns the current status of supply chain and is able to align with the leadership vision for longer term strategy.
- Lead optimization managers and guide team to analyze opportunities, quantify scope for improvement and define core areas of focus to improve guest experience and cost to serve in Target’s SCM.
- Conducts mathematical modeling, simulation, and statistical approaches to clearly define problems, build solutions and recommend next steps to the partners across Target like building operations, transportation teams, technology teams, etc
- Provides necessary information for and participates in pilot engagements to demonstrate business opportunities and ensures succession to standard process/practice where appropriate.
- Works closely with data science and engineering teams to help deploy new algorithmic solutions to support supply chain planning and control. Has the passion to engage in deep analytical, algorithmic work while staying connected to the core business teams
- Manage a team of 13 optimization managers and be responsible for their career development and long term/short term deliverables.
- Work towards progressing Target in India strategic initiatives and priorities around advancing culture, diversity, engagement and learning.

**REQUIREMENTS**:

- B.Tech/M.Tech in a quantitative discipline such as statistics, operations research, business analytics or mathematics
- 10+ years of supply chain or equivalent domain experience along with 3+ years of people manager experience.
- Experience utilizing problem solving and analytical skills to inform long term strategy and working with stakeholders to gain alignment on idea and execution
- Familiarity with supply chain concepts such as forecasting, planning, optimization, and logistics - gained through work experience or graduate level education
- Experience in various fulfillment operations such as Inventory Placement, Delivery Promise,Capacity Management, Last Mile Optimization etc.
- Knowledge of statistics and data mining techniques and tools to analyze and make insights from big data such as historical sales data and simulation/experiment results
- Strategic mindset and bias for action with strong ability for strategic planning, defining OKRs and driving business outcomes
- A strong passion for empirical research and for answering hard questions with data
- Ability to communicate complex concepts in easy to understand terminology with multiple audiences

Qualifications: