Lead Engineer - Data & Analytics

Company Description

AbbVie'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 at www.abbvie.com. Follow @abbvie on Twitter, Facebook, Instagram, YouTube and LinkedIn.

Job Description

Key Responsibilities

• Responsible for planning, requirements, design, implementation of analytics & business intelligence reporting solutions for the operations organizations.

• Manage the project team and budget and control resources, expenses, and capital costs against the budget.

• Partner with functional and business stakeholders to understand strategic business analytics requirements and work closely with management and project teams, to provide guidance in driving solutions along with effective issue management and communication to key stakeholders.

• Utilize operations expertise in end-to-end supply chain business process (Plan, Source, Make Deliver) domain.

• Develop test plans, test cases and user-level automation scripts using tools such as Selenium.

• Manage and oversee robust solutions, aligning priorities across stakeholders and communicate results.

• Align department priorities appropriately, determine critical success factors, evaluates and pursue initiatives based on fit with strategies.

• Establish and manage collaborative working relationships with key stakeholders within the Business, BTS and implementation partners to provide relevant solutions.

• Utilize modern data warehouses such as Hadoop/Data Lake Concepts, Redshift, and/or data ingestion mechanisms.

• Ensure comprehensive software QA test coverage and assist team leads in planning and scoping of projects.

• Work on strategies aimed to improve business reporting and planning processes utilizing continuous improvement across functions, ensuring that project commitments are achieved and compliance, business, and data privacy requirements are met.

• Responsible for planning, designing, development and execution of both manual and automated test plans, processes and scripts.

• Lead the strategy to evaluate purchasing supplier management analytics and business intelligence solutions.

• Lead multiple development teams and manage solutions (Modern Data Warehouse, Qlik, Power BI) for different analytical and operational reporting needs for the business functions.

• Utilize software development life-cycle (SDLC) and Agile methodologies.

• Act as BTS liaison with functional and business team, understand business strategy and needs related to reporting analytics, and lead BTS and partner teams for development and successful implementation of dashboards, data visualization reports to provide actionable insights for business decision making.

• Provide project status updates to leadership BTS team in prioritization, project strategies, manage portfolio by working with the program/project manager.

• Partner with Enterprise BTS organization to evaluate and establish analytics best practices and solutions related to data visualization and data mining.

• Provide thought leadership on consolidation of reporting platforms for operational & analytics data visualization and modelling.

Qualifications

Must possess a Bachelor's degree or foreign academic equivalent in Applied Computer Science, Information Technology, Software Development, Electrical/Electronics Engineering, or a related field of study with 5 years of related experience. In the alternative, employer will accept a Master's degree in lieu of a Bachelor's degree in the aforementioned fields. Each educational alternative with at least two (2) years of experience in the following: (i) developing test plans, test cases and user-level automation scripts; (ii) ensuring comprehensive software QA test coverage and assisting team leads in planning and scoping of projects; (iii) planning, designing, development and execution of both manual and automated test plans, processes and scripts; and (iv) software development life-cycle and Agile methodologies. Employer will accept any suitable combination of education, training, or experience.