Head - Advanced Analytics

Job description

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. ResponsibilitiesLead 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 EducationBachelor’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/TrainingMS 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/AIn 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)