Director/TL, Analytics Engineering - Biopharma

Salary

The annual base salary for this position ranges from $156,900.00 to $261,500.00

Pfizer is looking for a senior leader of Analytics Engineering, leading a best-in-class team in commercial analytics. Reporting to the VP of Analytics Engineering, this person will be responsible for leading a team of data and analytics engineers to ensuring best in class processes and deliverables supporting your Data Science, Insight & Strategy partner organization across the entire data journey from Descriptive to Predictive with key responsibilities for pipeline creation, reporting, and data visualization across the commercial business.

We seek a passionate and results-oriented senior leader to join our team to build data foundations and tools to craft the future. You will design and implement scalable, extensible and highly-available data pipelines on large volume data sets, that will enable actionable insights, strategy and ML workloads across commercial. Our culture is about getting things done iteratively and rapidly, with open feedback and debate along the way; we believe analytics is a team sport, but we strive for independent decision-making and taking smart risks. Our team collaborates deeply with partners across marketing, business teams, and digital engineering: our mission is to drive innovation by providing the business and data scientist partners best in class systems, data products, and tools to make decisions that drive business performance and patient experience. This includes leveraging large and complex data sources, helping derive actionable insights, delivering dynamic and intuitive decision tools, and bringing our data to life via amazing visualizations.

The ideal candidate is a self-motived team player, skilled in a broad set of Big Data processing techniques with the ability to adapt and learn quickly, provide results with limited direction, and choose the best possible data processing solution is a must.

Role Responsibilities

This person will be responsible for data collection and processing for core lines of business and will collaborate with various data scientists, instrumentation experts and engineering teams to identify requirements that will derive the creation of data pipelines. You will work closely with the Digital engineering team to understand the architecture and internal APIs involved in upcoming and ongoing projects. This role is accountable for delivering data engineering and BI solutions for commercial and will partner with Insight and Strategy, Data science, Market Research, Analytics Governance to develop and implement pipelines, reporting, and data products that drive brands’ strategic priorities.

• You are a top-tier analytics engineering leader with significant experience in forming teams, organizing processes and workflows, and mentoring/developing the managers what work on your team as well as junior team members.

• You are a hands-on leader who has demonstrated the ability to hire, build and develop high performing teams to meet the needs of a highly dynamic and complex business.

• 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 via best in class data tools and visualizations.

• Translate business requirements by business team into data and engineering specifications

• Design and build scalable data sets and products based on engineering specifications from the available raw data and derive business metrics/insights

• Closely collaborate with marketing and business stakeholders to define and implement the data engagement relationships required with partners

• Partner with Digital Engineering team and identify server APIs that needs to be instrumented for data analytics and reporting and align the server events for execution in already established data pipelines

• Discover and understand complex data sets, identify and formulate correlational rules between heterogenous data sources for effective analytics and reporting

• Successfully bridge engineering and business with ability to speak the common language of both

• Provide coverage on ad-hoc data and analysis from diverse partners and automate those needs over time

• Work hand in hand with the Platform/Digital and DevOps team for platform/tool enhancements, monitoring and alerting on various data pipelines and jobs

• Experience in healthcare, Pharma, and their 3rd party data is a plus.

Basic Qualifications

• Bachelor’s degree with 10+ years of experience OR Masters Degree with 9+ years of experience OR PhD with 2+ years of experience

• Degree preferably in engineering, economics, statistics, computer science, or related quantitative field.

• Relevant professional experience with Big Data systems, pipelines and data processing

• Preferred experience in Applied Econometrics, Statistics, Data Mining, Machine Learning, Analytics, Mathematics, Operations Research, Industrial Engineering, or related field

• Extensive professional experience with ETL, BI & Data Analytics

• Extensive professional experience with Big Data systems, data pipelines and data processing

• Deep expertise in Data Architecture, Data Modeling and task estimations.

• Familiarity with data privacy standards, methodologies and best practices

• Practical hands-on experience with data technologies and Cloud Platform like Hadoop, Hive, Redshift, Big Query, Snowflake.

• Expertise in Python, Unix Shell scripting and Dependency driven job schedulers

• Expertise in Data visualization tools such as Tableau, Power BI is a plus

• Ability to understand API Specs, identify relevant API calls, extract data and implement data pipelines & SQL friendly data structures

• Familiarity with rule based engines & tools for multi stage data correlation on large data sets is a plus

• Excellent time management skills with the ability to manage work to tight deadlines and handle the pressure of executive requests and product launches

• Ability to deliver consistent high quality results while working in a dynamic & fast paced environment with extreme attention to detail and ability to self-audit work

• Strong communication, and presentation skills with meticulous attention to detail.

• Enthusiasm for excellence across all disciplines

• 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.

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