Director, Smart Factory Predictive Operations PM

Key Skills

Aartificial intelligence, Algorithms, AWS, Data Analytics, Data science techniques, Generative AI, High performance computing- HPC, Machine learning techniques, Operations

Job Description

The candidate will lead the vision and strategy for our transformational Golden batch solutions,

be responsible for leading a successful digital product team to ensure implementation and optimization of smart factory technologies, including golden batch, automation, data science/ analytics, artificial intelligence (AI), and machine learning (ML), to drive operational efficiency and enhance the overall performance of our manufacturing operations.

ROLE RESPONSIBILITIES

The Director – Smart Factory Predictive Operations PM responsibilities include but are not limited to:

• Team leadership: Manage and mentor 3+ dynamic product teams, fostering a collaborative and high-performing work environment focused on delivering cutting edge predictive operations solutions that focus on Golden batch and reduce batch loss for our manufacturing plant customers

• Strategy: Develop and implement the vision and strategy of our predictive operations, connected worker, AI, GenAI and Golden batch solutions.

• Product team collaboration: Partner with Solution engineering, validation and UX teams to ensure to enable a engine of highly skilled people deploy ground-breaking applications in a highly regulated environment.

• Customer education: increase awareness & adoption of Connected worker, Artificial Intelligence (AI) and GenAI at and the value it brings to our manufacturing plants.

• Stakeholder Engagement: Partner with our Global Technology & Engineering (GT&E) peers to create a revolutionary suite of golden batch / connected worker solutions.

• Create and maintain a predictive system/platform for continuous monitoring of all PGS critical assets.

• Deliver capabilities to enable data-driven decision making at all levels of manufacturing, embracing GenAI to be the Manufacturing Co-Pilot.

• Identify high value opportunities for the use of AI & GenAi during, before or after the Manufacturing Process

• Deliver the development and implementation of advanced analytics and machine learning algorithms to identify patterns, predict process deviations, and optimize manufacturing performance.

• Establish OKRs (Objectives & Key Results) to measure program performance and value realization across the Manufacturing Intelligence Portfolio

• Ensure proper Systems Development Lifecycle Management (e.g. GMP Regulatory Compliance (GRC))

• Release Planning and Impact Assessment

• Vendor Support Escalation

• Solution Roadmap & Governance

• Disaster Recovery Planning & Testing

• Collaborate with external partners, vendors, and industry experts to leverage best practices and stay at the forefront of digital manufacturing advancements.

BASIC QUALIFICATIONS

• Bachelor’s degree in AI, statistics, data science, physics, computer science or engineering

• Minimum 10 years of related work experience with 3-5 years of working in a Global Solution environment, involving deployment of complex, integrated enterprise systems for manufacturing.

• 7 years of experience in Digital Transformation with 5+ years of relevant domain experience in manufacturing

• Strong knowledge and practical experience in automation, IoT, data analytics, AI, connected worker and ML in a manufacturing environment.

• Experience in all stages of a program lifecycle from value analysis, business case development, delivery through value realization

• Ability to work across multiple concurrent activities and successfully adapt to changing priorities as required.

• Strong experience in SAFe (Scaled Agile Framework)

• A thorough understanding of system GMP requirements and demonstrable knowledge of computer system design and maintenance lifecycle in GMP environments.

• Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact.

PREFERRED QUALIFICATIONS

• Managing or coaching a team to analyze and solve technical issues

• Familiarity with AWS technology stack

• Advanced Degree: Master’s Degree or PhD

• 5+ years’ experience in a role supporting Manufacturing Intelligence / Process Analytics working with complex algorithms

• Product Manager Certification

• PMI certification preferred but not required.

NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS

Ability to travel up to 25% and must be able to support weekend or night cutover and/or upgrade activities.

Work Location Assignment: Hybrid - must be able to work 2.5 days in office per week

The annual base salary for this position ranges from $161,600.00 to $261,500.00. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 20.0% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life’s moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site – U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided applies to the Tampa, FL location only. The salary range provided does not apply to any other United States location or locations outside of the United States.

Relocation assistance may be available based on business needs and/or eligibility.

Sunshine Act

Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider’s name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative.