**ROLE SUMMARY**

The Analytics Engineering team in the Commercial Analytics & AI (CAAI) organization serves as the backbone of our data-driven organization, delivering the foundation upon which transformative insights and innovation thrive. With a focus on integration, curation, and quality assurance across diverse data sources, coupled with our expertise in managing data infrastructure and crafting impactful visualizations, we're not just enabling analytics - we're powering world-class solutions that propel Pfizer's mission forward. Join us in shaping the future of advanced analytics and make a meaningful impact on a global scale.

The team charter includes supporting Data Science and Insight & Strategy partner organizations across the entire data journey from Descriptive to Predictive with key responsibilities for data transformation, creation of consumption-ready data products to be used for visualization across the Commercial business.

We are looking for an experienced **Sr Production Operations Engineer** , who will work in an agile engineering team reporting to the Director / Platform Team Lead. Prod Ops engineers are responsible for building supporting and ensuring the high-quality operation of production ETL pipelines. They will take ownership and contribute to establishing our production operations processes within Commercial Analytics Engineering.

The ideal candidate is a curious, passionate, detail-oriented, and results-driven production operations engineer with a proven track record of operating in large and multi-faceted production operations environment in an enterprise setting. A self-motived problem solver and team player, you have the drive for collaboration and building relationships with the broader Pfizer engineering organization. You have built highly available, resilient operations processes for high through put data processing pipelines in a previous position. You are skilled in a broad set of software engineering strategies, operations tools (custom built and bought), adhere to best Prod and Data Ops practices, with the ability to adapt and learn quickly.

**Role Responsibilities**

+ Take ownership of observability, monitoring, and operational excellence of data processing pipelines that operate at cadences as required by the business to deliver analytic insights in a timely manner.

+ Identify opportunities for optimization and efficiency improvements in analytics tools and platforms and draft requirements on further optimization of tools intended for ProdOps and DataOps as part of the full software development lifecycle.

+ Identify inefficient and expensive data processes and escalate for remediation to content feature engineering teams.

+ Collaborate on best practices to enhance the performance, 24/7 availability, and reliability of analytics solutions.

+ Support deployments into production for new go-live pipelines and escalate/RCA disparities.

+ Fast-paced notification and escalation of errors identified to ensure accuracy, integrity, and security of the data.

+ Interpret data from data quality and observability tool set and notify the appropriate owners of issues observed.

+ Refine the Production Operations Run Book aligned to the architecture stack for Commercial Analytics Engineering and contribute to improvements in DevOps.

+ Execute root cause analysis (RCA). communicate effectively with developer team mates on root cause analysis (RCA) findings.

**Collaboration, Partnership, and Mentoring**

+ Collaborate with our internal and external technical and business partners on design and implementation of efficient data systems; compute utilization and code tuning strategies included.

+ Lead and build test automation tools and frameworks to test pipelines.

+ Partner with enterprise Digital Engineering team to identify or code APIs that need to be instrumented for data analytics and reporting and align with already established data pipelines.

**Domain Knowledge and Standards**

+ Analyze technical debt, legacy architectures, and work with other leads on optimizing design and re-platforming efforts.

+ Ramp up quickly in understanding data sources required for data products and the goals of Commercial Analytics in a Pharma business.

+ Collaboration with the Analytics Engineering Director to work hand in hand with the Platform/Digital and DevOps team to specify platform requirements, tool enhancements, observability & monitoring, security/audit, and alerting on various data pipelines and jobs as needed for operation the Commercial Analytics Engineering organization.

**Qualifications**

+ Bachelor's degree (Master's a plus) preferably in computer science, engineering, or related field.

+ 7+ years of backend software or data engineering experience with at least 2 years' experience as senior data engineer on a development scrum team.

+ Recent Healthcare Life Sciences (pharma preferred) and ecosystem professional industry experience is preferred, commercial/marketing experience is a plus.

**Technical Skillset**

+ Deep experience in operations for data pipelines including observability and monitoring using both custom built and off-the-shelf tools.

+ 7+ years of experience writing SQL and Python.

+ Strong understanding of SDLC best practices.

+ Thorough understanding of analytics tools and cloud technologies, with experience in both RDBMS and big data frameworks.

+ At least 2 years of experience with support of APIs and event driven architectures.

+ Previous experience as a Sr engineer working in agile with CI/CD, DevOps, GitOps, and ProdOps is required.

+ Must have experience working in Jira and Confluence (or related tools) and contributing to team documentation/playbooks.

+ Release management experience is required.

+ Effective independent contributor with ability to mentor junior engineers.

+ Team player with excellent prioritization and organizational skills.

+ Effective communication and interpersonal skills to communicate RCA findings and escalate quickly to other contributors at the appropriate level.

+ You are a top-tier platform and data engineering operations specialist with experience mentoring junior operators.

+ Big data, cloud architecture, and scaled analytics implementation experience. Performance tuning experience highly desired.

+ Familiarity with master data management strategies, rules-based engines, and tools for multi-stage data correlation on large data sets

+ Experience with F.A.I.R. principals and adhering to engineering and documentation standards set in the organization.

+ Certification in Agile development processes, cloud architecture, and other industry-related credentials are a plus.

+ Understanding or experience in data visualization tools such as Tableau or Power BI.

+ Experience in leading deployment to production and developing efficient error notification strategies.

+ Previous engineering experience in support of data science activities.

+ Previous experience in leading production operations war room scenarios.

+ Experience working with ex-US support teams in a multi-time-zone setting.

**Competencies**

+ Strong Project Management Skills: Overseeing complex, cross-functional projects, ensuring delivery on time and within budget.

+ Technical Strategy: Contributing to the technical strategy and architecture decisions, ensuring scalability and performance of data solutions.

+ Collaboration: Influencing their data engineering team, working closely with other departments, understanding their data needs, and delivering solutions that meet these needs.

+ Operational Excellence: Ensuring the reliability, efficiency, and quality of data services and pipelines.

+ Change Management: Leading change initiatives, improving processes, and implementing new technologies.

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.

**PHYSICAL/MENTAL REQUIREMENTS**

+ Excellent time management skills with the ability to work in a team on tight deadlines and conduct root cause analysis (RCAs).

+ You have a passion for applied empirical analytics and answering hard questions with data, and the demonstrated ability to conceptualize, promote, and implement business insights.

+ Strong communication skills with attention to detail.

+ Enthusiasm for excellence with curiosity and self-starter desire to learn.

+ Solid sense of ownership, customer service, collaboration, and integrity

+ Proactive in approach, focus on innovation and ability to learn new technologies.

+ Ability to work outside own area of expertise, perform business discovery, simplify problems, extract key information, and propose innovative solutions.

**Other Job Details:**

+ Work Location Assignment:Flexible

+ Occasional On-site Team meetings - generally 1 x per year.

The annual base salary for this position ranges from $117,300.00 to $195,500.00. In addition, this position is eligible for participation in Pfizer's Global Performance Plan with a bonus target of 17.5% 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 does not apply to Tampa, FL or any location 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.

**EEO & Employment Eligibility**

Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States.

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