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Senior Data Architect II - job 1 of 2

Company DescriptionAbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas immunology, oncology, neuroscience, and eye care and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us atwww.abbvie.com. Follow @abbvie onTwitter,Facebook,Instagram,YouTubeandLinkedIn.Job DescriptionWe are seeking a highly skilled Data Architect to join our Biologics Product Development Science & Technology group and help drive forward our Digital Transformation. The Data Architect is an expert in treatment of context of scientific data. On top of proper management of data and metadata from both experiments and simulations, capturing data context is essential for efficient downstream data analysis (e.g. compilation of comparable sets) and reuse of data beyond their original purpose. As a member of the cross functional Data & Digital Strategy team, you will be responsible for designing, implementing, and maintaining the data infrastructure that supports our bioprocess development and manufacturing support activities.The ideal candidate will collaborate cross-functionally with scientists, process engineers, computational scientists, and IT professionals to ensure seamless integration and accessibility of data. As the architect of our data foundation, you will play a critical role in enabling efficient data-driven decision-making and accelerating bioprocess development through advanced analytics and machine learning applications. Strong technical skills in database management, cloud infrastructure, and data governance, coupled with a proven track record in collaborative environments, are essential for success in this role.Responsibilities:• In collaboration with IT teams, Business System Owners and SMEs, define overall data architecture, including data within systems, data movement between systems, data ontology/normalization and data warehouse design and implementation.• Effectively partner with cross-functional groups within PDS&T and outside stakeholders (R&D, Manufacturing, Quality) to understand business process data flows, data analytics, and data science needs.• Demonstrate deep knowledge of the biologics CMC science and business drivers. Utilize this knowledge in the rapid advancement of agile, impactful, and cost-effective solutions that align to business needs and priorities.• Interfaces with other data governance and ontology organizations and initiatives within Abbvie to coordinate vocabulary between research, operations, etc. Actively participates in communities outside Abbvie and reviews relevant literature to learn best practices from vendors and industry peers.• Develop and implement data science upskilling program for those interested in PDS&T Bio.• A primary author of publications and presentations.• Understand and adhere to corporate standards regarding applicable Corporate and Divisional Policies, including code of conduct, safety, GxP compliance, and data security.Qualifications• Bachelors Degree with 12 years experience; Masters Degree with 10 years experience; PhD with 4 years experience.• The ideal candidate brings a blend of strong scientific experience in the biotech/pharma industry and proficient IT skills.• Team player with a proven capability to work in matrixed environment with diverse groups including subject matter experts, scientists & IT, and with ability to influence and align stakeholders.• Proven implementation of technology solutions that advanced the business.• Excellent written and oral English communication skills.Preferred skills:• Broad knowledge of CMC workflows and key data and analytics that drive decisions.• Proficient in Python for data science applications• Experience with dashboard development in Spotfire, Tableau, and/or PowerBI• Experience with cloud deployment.Additional InformationApplicable only to applicants applying to a position in any location with pay disclosure requirements under state orlocal law:• The compensation range described below is the range of possible base pay compensation that the Companybelieves ingood faith it will pay for this role at the timeof this posting based on the job grade for this position.Individualcompensation paid within this range will depend on many factors including geographic location, andwemay ultimatelypay more or less than the posted range. This range may be modified in thefuture.• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick),medical/dental/visioninsurance and 401(k) to eligibleemployees.• This job is eligible to participate in our short-term incentiveprograms.• This job is eligible to participate in our long-term incentiveprogramsNote: No amount of payis considered to bewages or compensation until such amount is earned, vested, anddeterminable.The amount and availability of any bonus,commission, incentive, benefits, or any other form ofcompensation and benefitsthat are allocable to a particular employee remains in the Company's sole andabsolutediscretion unless and until paid andmay be modified at the Companys sole and absolute discretion, consistent withapplicable law.AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives, serving our community and embracing diversity and inclusion. It is AbbVies policy to employ qualified persons of the greatest ability without discrimination against any employee or applicant for employment because of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information, gender identity or expression, sexual orientation, marital status, status as a protected veteran, or any other legally protected group status.US & Puerto Rico only - to learn more, visithttps://www.abbvie.com/join-us/equal-employment-opportunity-employer.htmlUS & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:https://www.abbvie.com/join-us/reasonable-accommodations.html
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What You Should Know About Senior Data Architect II, AbbVie

At AbbVie, we're on a mission to revolutionize healthcare by discovering and delivering innovative medicines that address serious health challenges. We are currently on the lookout for a Senior Data Architect II to join our Biologics Product Development Science & Technology team in Massachusetts. In this dynamic role, you will be at the forefront of our digital transformation, leading the way in the management and context of scientific data. Your expertise will not only enhance our data management processes but also ensure that our data is optimized for effective analysis and reuse, making a significant impact across our projects. As part of a cross-functional team, you will work closely with knowledgeable scientists, process engineers, and IT professionals, facilitating the seamless flow of data to support bioprocess development activities. Your responsibilities will range from designing the data architecture to collaborating with various stakeholders to ensure the efficiency of data in decision-making processes. We’re looking for someone who thrives in a collaborative environment and possesses strong skills in database management and cloud infrastructure. If you are excited to drive advanced analytics and machine learning applications while helping us accelerate bioprocess development, this position at AbbVie could be the perfect fit for you.

Frequently Asked Questions (FAQs) for Senior Data Architect II Role at AbbVie
What are the responsibilities of a Senior Data Architect II at AbbVie?

As a Senior Data Architect II at AbbVie, you will be responsible for defining the overall data architecture and implementing effective data solutions that bridge the gap between various systems. You will partner with cross-functional teams to streamline data flows and support data analytics needs, thus contributing to better decision-making in bioprocess development.

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What qualifications are needed for the Senior Data Architect II role at AbbVie?

To be considered for the Senior Data Architect II position at AbbVie, candidates should possess a Bachelor’s degree with 12 years of experience, a Master's degree with 10 years, or a PhD with 4 years. A strong scientific background in the biotech or pharma industry, along with proficient IT skills, is crucial.

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How does the role of Senior Data Architect II contribute to AbbVie’s digital transformation?

The Senior Data Architect II plays a pivotal role in AbbVie's digital transformation by designing and optimizing data infrastructure that underpins our bioprocess development initiatives. This role ensures efficient data management and governance, enabling better utilization of data for advanced analytics and machine learning applications.

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What technical skills are essential for a Senior Data Architect II at AbbVie?

Essential technical skills for the Senior Data Architect II role at AbbVie include expertise in database management, cloud infrastructure technologies, and data governance. Additionally, proficiency in programming languages like Python for data science applications will significantly enhance your contributions.

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What does a typical work environment look like for a Senior Data Architect II at AbbVie?

The work environment for a Senior Data Architect II at AbbVie is collaborative and fast-paced. You will be working alongside scientists, engineers, and IT professionals in a matrixed structure, with a focus on fostering innovation and agile solutions to meet business needs.

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Common Interview Questions for Senior Data Architect II
Can you explain your experience with data architecture in the biotech industry?

In my previous roles, I have designed and implemented data architectures that effectively managed and normalized data across various biotech processes. I would discuss specific projects where I collaborated with functional teams to achieve seamless data flows.

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How do you ensure the quality and integrity of the data architecture you design?

Ensuring data quality begins with robust governance policies. I implement validation checks and collaborate with data owners to ensure consistent data entry and management, thus maintaining the highest integrity standards throughout the data lifecycle.

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Can you give an example of a data-driven decision you supported in your previous role?

Certainly! In my last position, I developed a data model that provided insights into bioprocess efficiencies. This model helped management make informed decisions regarding resource allocation, resulting in significant cost savings and increased productivity.

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What strategies do you use for managing data within a cross-functional team?

Clear communication and establishing common goals are key strategies. I encourage regular check-ins with all stakeholders to ensure alignment and utilize collaborative tools for transparent data sharing among teams.

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Can you explain your experience with cloud technologies?

I have extensive experience with cloud deployment and management, particularly in AWS and Azure environments. I have architected scalable solutions that improved data accessibility and security across our projects.

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How do you stay current with emerging technologies in data science?

I regularly attend industry conferences, participate in webinars, and follow thought leaders in the field. Additionally, I actively participate in online communities to share knowledge and best practices with peers.

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What methods do you use to communicate complex data concepts to non-technical stakeholders?

I focus on simplifying complex data concepts by using visual aids like graphs and dashboards, accompanied by clear and concise explanations. This helps ensure that all stakeholders can make informed decisions based on the data presented.

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Describe a challenging project you've worked on and how you overcame obstacles.

One challenge I faced was integrating legacy systems with new data solutions. To overcome this, I conducted a thorough analysis of the data requirements and established a phased implementation plan that minimized disruption while gradually achieving full integration.

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What role do you think machine learning can play in the data architecture?

Machine learning can significantly enhance data architecture by enabling predictive analytics and automated decision-making. I believe leveraging machine learning models can optimize data utilization and improve outcomes in bioprocess development.

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How would you approach developing a data governance strategy?

To develop a data governance strategy, I would first assess existing data practices, identify stakeholders, and establish a governance framework that includes policies for data quality, security, and compliance. Continuous monitoring and feedback loops would ensure ongoing improvement.

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AbbVie’s mission is to discover and deliver innovative medicines that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people’s lives across several key therapeutic areas: i...

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Full-time, on-site
DATE POSTED
December 13, 2024

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