Director, Data Capability Lead
This is what you will do:
DI&A Capability Lead reports to the Head of IT Data, Insights & Analytics and is a critical role in Alexion IT RDU organization. The focus of this role is to take stakeholder-centric data-drive
Alexion is looking for a sharp-minded, assertive, and energetic DI&A leader who will be responsible for establishing the strategy, functional plans, and delivery of products/ projects/programs to meet the short- and long-term goals and metrics of the organization. Should be able to conceptually architect and design data and analytics solutions to meet specific business demands, driving value from information and ensuring end-to-end delivery.
We are looking for adaptable candidates with a broad set of technology skills to be able to lead robust data solutions that leverage disparate datasets, data lake repositories, engineering workflows, visualization, and Data Science toolkit. The candidate will have to oversee global demands and work with internal and vendor delivery organizations to ensure the right delivery approach/model has been followed.
The candidate needs to be client-oriented, capable of independently developing sophisticated data foundation, business analytics, data engineering & integration solutions, and skilled at presenting solutions to broad audiences within IT and business groups.
The right candidate for this position should have a proven track record in key Alexion functions for an international Pharma/Biopharma company. They should have superior program delivery and team management capabilities, strong technical skills, and the ability to manage vendor relationships. Alexion RDU is looking to build the next generation of patient-centric digital health products and we are looking for a qualified individual whose passion is understanding how to best utilize healthcare data and platforms to drive business innovation.
You will be responsible for:
- DI&A Capability Lead will be responsible for supporting IT and business-driven activities which will include the following:
- Understand business, conceptualize analysis framework, define DI&A requirements, and coordinate implementation with business partners, IT Digital teams and external partners for delivering enhanced digital experience to stakeholders
- Responsible to drive initiatives in Data Management, deploy DI&A enablement practices for master, reference and metadata and execute key strategies in building taxonomy/ ontologies and FAIR data products using multi-modal datasets
- Responsible to deliver data engineering services, ingesting data in the Alexion Data Platform, creating data hubs to integrate and distribute data in the form of products, and supporting integration to digital applications to generate insights through AI/ML
- Drive operationalization and adoption of data products and AI/ML solutions in generating insights supporting Alexion functions
- Provide consultancy advice, as a trusted partner, to both the global and regional stakeholders within the business and other technology teams from strategic partners / vendors for on-going and new implementation projects and ensure they are aligned with organization goals
You will need to have:
- Strong technical delivery management experience in Data Engineering, Data Foundation and Observability and AI/ML across functions and geographies
- In-depth working knowledge of data domain modeling and expertise in designing taxonomy and ontology, that facilitate the management of key master/reference data products like Material, G/L, Cost Center, Healthcare Professional / Organization, Vendor, and their associated hierarchies
- Organize data at the macro level using conceptual/logical data models as a standard for the trusted source and for consuming applications to inherit, with the ability to extend the data model to bridge internal Alexion and AstraZeneca data
- Ability to successfully lead a team of Business Analysts, Data Engineers and Analytics and AI Developers through all phases of the development life cycles, including concept definition, product design, development, implementation, and testing
- At least 10 years of experience in leading, designing, and developing data lake and data integration architectures, using FAIR data set and prior experience in managing end-to-end engagements in BI using Qlik Sense and Data Science languages like R and Python; should possess knowledge of Cloud platforms like AWS suite, modern data storage layer like Snowflake, dbt, FiveTran and cloud data management applications like Immuta, Collibra and Reltio/ Veeva Network
- Knowledge of Privacy and healthcare interoperability standards like GDPR, HIPAA and HL7, FHIR
- Familiarity with Git, Data-Ops, and Continuous Integration /Continuous Deployment pipelines and experience in Agile project execution
- Bachelor’s degree in a technical field of study (Computer Science/Engineering preferred) and have excellent communication, analytical and logical thinking skills, detail-oriented with an ability to take a macro view
We would prefer for you to have:
- A Master’s degree, MBA, or equivalent level of experience
- 12+ years of digital and data transformation experience within biopharma industry with at least 5 years of managing complex transformations
- Prior experience working on digital health initiatives
The annual base salary for this position ranges from $ 151,261.60 to $226,892.40. However, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition, our positions offer a short-term incentive bonus opportunity; eligibility to participate in our equity-based long-term incentive program (salaried roles) or to receive a retirement contribution (hourly roles). Benefits offered included a qualified retirement program [401(k) plan]; paid vacation and holidays; paid leaves; and, health benefits including medical, prescription drug, dental, and vision coverage in accordance with the terms and conditions of the applicable plans. Additional details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.
Expectation of working in the office 3 days a week statement: When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working give us the platform we need to connect, work at pace and challenge perceptions. That’s why we work, on average, a minimum of three days per week from the office. But that doesn’t mean we’re not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.
AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.
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