Senior Data Engineering Manager

We are hiring across multiple business units (Commercial, R&D, Manufacturing and RWD) and across multiple locations (Cambridge, MA, Bridgewater, NJ and Toronto, ON). This is a hybrid role that requires you to be in the office 2-3 days a week.

Key Responsibilities:

• Lead and guide a team of data engineers and partner with respective teams (analytics / AI, business, technology) to drive results as a data engineering expert.
  

• Work in cross-functional agile pods to design and build hybrid-cloud solutions with automated pipelines that ingest, transform, and deliver data products reliably.
  

• Understand complex business and design data and technology solutions, while aligning to platforms and architecture standards.
  

• Support life cycle management of deployed data assets and products (e.g., new releases, change management, monitoring and troubleshooting).
  

• Establish global data engineering standards and assets to drive efficiency and simplicity.
  

• Define and execute a plan for the development and sustainment of data products.
  

• Lead / actively contribute to the data engineering community.
  

• Lead multidisciplinary teams, with and without external third-party partners/vendors, with direct supervisory and people management responsibilities.

Requirements

• Bachelor s/Master s in business or STEM (science, technology, engineering, mathematics) preferred or relevant field, with 5+ years of relevant working experience.
  

• Experience designing, developing, optimizing, and/or maintaining data solutions including pipelines, architectures and data sets.
  

• Strong knowledge of in with data integration technologies, ETL / ELT, job flows using traditional and modern data engineering technologies, preferably Informatica/IICS.
  

• Expertise in working with multimodal data systems and architecture including batch, near real-time, and streaming.
  

• Demonstrated experience developing production solutions with distributed architectures and processing technologies (Spark, Hadoop, Kafka, Cloud providers).
  

• Strong background in developing modern cloud-native data platforms for performance and scalability for large data sets/streams.
  

• Experience implementing data integration, data warehouse/lake solutions, and data mesh architectures.
  

• Expert knowledge of SQL (preferably in Snowflake) and relational and non-relational technologies/concepts (SQL and NoSQL).
  

• Working knowledge of programming languages (Python, Shell scripting, Scala/Java a plus).
  

• Strong background and experience with cloud technologies and services, preferably AWS.
  

• Technical knowledge of software application development and agile methodologies.
  

• Understanding and application of data / digital strategy and governance.
  

• Understanding of change management and release processes.
  

• Strategic thinker with the ability to act as a translator between Data and various business units, devising fit-for-purpose data engineering solutions and assets.
  

• Experience working cross-functional teams in large organizations to solve complex data architecture and engineering problems.
  

• Relationship-oriented with the ability to communicate meaningfully and influence all levels of stakeholders.
  

• Storyteller with the ability to translate complex technical jargon and concepts into something simple, accurate and understandable.
  

• Ability to deal with ambiguity and work in autonomy with limited guidelines.
  

• Effective written communication, presentation, and interpersonal skills.
  

• Good understanding of agile/scrum development processes and concepts.
  

• Able to work in a fast-paced, constantly evolving environment and manage multiple priorities.
  

• Attention to detail & technical intuition.
  

Nice to haves:

• Experience working in life sciences/pharmaceutical industry is a plus.
  

• Familiarity with processing data from Salesforce, IQVIA, SAP R3, SAP S4/HANA, MES and Kinaxis.
  

• Familiarity with Source Code Management Tools (GitHub a plus).
  

• Familiarity with Visualization Tools (PowerBI, Tableau a plus).
  

• Familiarity with Project Management Tools (JIRA, Confluence a plus).