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Thermo Fisher Scientific Sr. Manager Data Delivery in Phoenix, Arizona

What Will You Be A Part Of?

When you join us at Thermo Fisher Scientific, you'll be part of a smart, driven team that shares a passion for data exploration and discovery. With revenues of more than $25 billion and the largest investment in R&D in the industry, we give our people the resources and opportunities to make significant contributions to the world.

Location/Division Specific Information

Data Platform & Analytics team is part of corporate IT responsible for the development of data warehouse, data lake, and analytics services for internal customers of Thermo Fisher Scientific.

How Will You Make An Impact?

Enabling our internal teams at scaled, Sr. Manager Data Delivery will join our organization responsible for working & managing a team of data engineers, BI Analysts, and ETL developers to develop data-driven applications and automation across a variety of infrastructure(both On-Prem and Cloud). Individuals must be able to collaboratively work with multiple teams to design, develop, deploy and maintain data solutions for the Enterprise data platform. This position offers an exciting opportunity to work on processes that interface with multiple systems including AWS, Oracle, data pipelines, and ERPs. The candidate will lead development projects, pilots, evolve delivery governance, standards, best practices, and advance best design practices.

What Will You Do?

  • Manage a large team of developers, business analysts, technical project managers, vendor consulting resources, and the extended team in multiple locations and time zones to ensure successful execution of data delivery projects.

  • Lead, design, develop, deploy and maintain mission-critical data applications for Enterprise data platform

  • Participate in all phases of the Enterprise Data platform development life cycle as appropriate; including, but not limited to gathering customer requirements, defining technical requirements, creating high-level architecture diagrams, data validation, and training sessions

  • Lead different aspects of data analytics, data quality, machine learning, data acquisition, visualization, and some design and analysis tasks

  • Additionally, Sr Manager Data Delivery shall hire, mentor, and train employees of data delivery teams as we expand our portfolio.

How Will You Get Here?

  • Action Oriented: Have a sense of leadership, high energy, and enthusiasm in managing Data Delivery team resources.

  • Collaborates: Build partnerships and work collaboratively with DBA, BI teams, and other members of IT teams to meet shared objectives.

  • Communicates Effectively: Provide timely and consistent updates and recommendations to Business and project delivery status to stakeholders.

  • Cultivates Innovation: Leverage Automation, DevOps, Machine Learning, and process improvement methodologies to drive innovation and growth mindset.

  • Drives Results: Consistently achieving results, even under tough circumstances.

  • Global Perspective: Takes a broad view when approaching issues; using a global lens.

  • Project Performance measurement - familiar with performance indicators and able to measure efficiency in terms of schedule, budget, and quality.

  • Manage the Data Delivery team in remote locations including hiring, developing, motivating, and directing people as they work.

  • Manage time effectively by balancing between operations management and people management with a prioritization and results mindset.

  • Manage vendor relationships in ensuring quality resources are hired and retained towards staff augmentation.

  • Build self-awareness, self-management, social awareness, and relationship management. Be a source of energy, empathy, and earned trust in the Data Delivery team, proving optimism and realism can co-exist.

  • Ability to work with global IT and cross-functional teams.

  • Interpersonal Savvy: Relating openly and comfortably with diverse groups of people

  • Ability to work independently and as a member of a cross-functional team

  • Is passionate about applications, data analytics, end-user productivity

  • Desire to teach other team members about technology in the area of expertise

  • Experience in project management framework Agile (Jira toolset)


  • Master's degree in computer science engineering from an accredited university (desired)

  • 4-year degree with a major in computer science engineering (or equivalent) from an accredited university (preferred) will substitute for a minimum of 15 years' professional IT experience.


  • 12+ Years of Experience in Data Lake, Data Analytics & Business Intelligence Solutions

  • Strong Experience in ETL Tools preferably Informatica & Databricks

  • Experience at Enterprise-level ETL development & architecture in Informatica Power Center 9.x, 10.x, and Informatica Cloud environment.

  • Exposure to data lake using AWS Databricks, Apache Spark & Python

  • Working experience in a DevOps environment, data integration, and pipeline development.

  • Experience with AWS Cloud on data integration with Apache Spark, EMR, Glue, Kafka, Kinesis, and Lambda in S3, Redshift, RDS, MongoDB/DynamoDB ecosystems

  • Demonstrated skill and ability in the development of data warehouse projects/applications (Oracle & SQL Server)

  • Strong real-life experience in python development especially in pySpark in AWS Cloud environment.

  • Experience in Python and common python libraries.

  • Strong analytical experience with the database in writing complex queries, query optimization, debugging, user-defined functions, views, indexes, etc.

  • Experience with source control systems such as Git, Bitbucket, and Jenkins build and continuous integration tools.

  • Knowledge of extract development against ERPs - SAP, Siebel, JDE, BAAN preferred

  • Exposure to data visualization tools like Power BI, Tableau, etc

Knowledge, Skills, Abilities

  • Highly self-driven, execution-focused, with a willingness to do "what it takes' to deliver results as you will be expected to rapidly cover a considerable amount of demands on data integration

  • Strategic Thinking - Think big picture. Set priorities aligned with major goals. Encourage innovation by backing good people who take smart risks.

  • Critical Thinking - Question conventional wisdom by identifying and challenging assumptions made that cause actions or inaction. Strive to inject independent thinking, checking biases, promotes action and decision-making.

  • Communication - communicate effectively in the way reach audiences with ease, clarity, and transparency: one-to-one, small group, full staff, email, social media, and of course, listening.

  • Provide organizational support for relationship development to foster teamwork, build relationships, and promote collaboration to cultivate and strengthen a network for the exchange of ideas

  • Problem-solving (analytical)

Thermo Fisher Scientific is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, creed, religion, color, national or ethnic origin, citizenship, sex, sexual orientation, gender identity and expression, genetic information, veteran status, age or disability status.