JOB DESCRIPTION:

Head, Advanced Analytics, Business Effectiveness

Equivalent job code:

Job Description

Abbott is currently seeking a Head, Advanced Analytics to lead a team of data science experts and analysts. This role involves driving data-driven decision-making processes and providing strategic insights to support business objectives.

Responsibilities

• Lead and manage a high-performing team, ensuring professional development and high performance.
• Apply machine learning, artificial intelligence, statistical modeling, data mining, and visualization techniques to build analytics solutions across various domains including business, finance, manufacturing, and quality.
• Collaborate with internal and external stakeholders in India and the US to develop advanced analytics strategies and roadmaps.
• Deliver creative, user-friendly solutions and present insights effectively to both technical and non-technical audiences.
• Oversee the design, development, and deployment of advanced analytics models and solutions.
• Establish and implement modern digital and analytics architectures to support Abbott’s digital transformation.
• Provide leadership and hands-on technical direction to deliver world-class, insight-driven customer experiences.
• Investigate and develop new best practices and methodologies.
• Develop a digital and analytics roadmap to ensure cost-effective and customer-centric solution delivery.

• Drive technology selection, design, and development of appropriate processes, tools, and controls.
• Manage selection, negotiations, relationships, contracts, and performance of third-party delivery providers and partners.
• Stay updated with the latest trends and technologies in analytics and data science.
• Ensure data integrity and accuracy in all analytics processes.

Minimum Education

Bachelor’s Degree

Minimum Experience/Training 

• At least 10 years of experience in business, digital, analytics, or information technology.
• Proven experience as a technical leader with broad knowledge of digital and analytics technologies and disciplines.
• Experience leading teams and managing multi-site development projects.
• Experience working in a matrix organization with global and local teams.
• Ability to build strong and effective partnerships with business managers and prioritize global and local needs.
• Track record of building high-performing teams and making effective decisions.
• Strong digital and analytics solution and technology delivery skills.
• Experience in Agile/Scrum methodology.
• Highly proficient in consumer technologies including digital, analytics, mobile, and social applications.
• In-depth knowledge of machine learning, pattern recognition, and data-mining techniques.
• Analytical skills with a solid foundation in programming (R, SAS, Python, SQL, NoSQL, PostgreSQL).
• Strong oral and written communication skills.

 Preferred Education/Training

• MS in quantitative discipline, such as computer science, engineering, data science, statistics, mathematics, machine learning or a related field.
• Experience working with counterparts in the US
• Proficient in data warehousing, data modeling, ETL and SQL
• Prior experience or working knowledge with tools and technologies: Spark, Clojure, Hive, Pig, Redshift
• Experience with big-data architecture, operating systems and tools for big-data analytics
• Experience with UX design

WHAT WE OFFER

At Abbott, you can have a good job that can grow into a great career. We offer:

• Training and career development, with onboarding programs for new employees
• Financial security through competitive compensation, incentives and retirement plans
• Health care and well-being programs
• The stability of a company with a record of strong financial performance and history of being actively involved in local communities

     

The base pay for this position is

N/A

In specific locations, the pay range may vary from the range posted.

     

JOB FAMILY:

Sales Force

     

DIVISION:

EPD Established Pharma

        

LOCATION:

India > Mumbai : BKC Building

     

ADDITIONAL LOCATIONS:

     

WORK SHIFT:

Standard

     

TRAVEL:

Not specified

     

MEDICAL SURVEILLANCE:

Not Applicable

     

SIGNIFICANT WORK ACTIVITIES:

Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day)