Job Description

About Leading-Biotechnology-CompanyANSR, a market leader in enabling organizations to build, manage and scale global teams, is partnering with a renowned biotechnology company who is redefining the future of human health by providing solutions to some of the most complex problems in the healthcare industry. They are committed to making precision medicine accessible and carries out their business operations in an environmentally sustainable way.Now is your opportunity to join their innovative team in Bengaluru, India. For over 20 years now, companies cutting across size, industry and markets have relied on ANSRxe2x80x99s expertise to successfully build global business and technology teams. We can help you land a rewarding career in this dynamic industry.If you are eager to contribute to a company with strong values, a supportive environment and where you get opportunities to work on challenging projects that uses cutting-edge technology to improve millions of lives, this is your chance to join a truly remarkable team. Apply today!About Illumina:Illumina is a leading developer, manufacturer, and marketer of life science tools and integrated systems dedicated to making genomics useful for all. Illuminas integrated Indian global hub in Bengaluru, Illumina India Biotechnology Private Limited, is focused on technology activities that will help usher in the next wave of innovation in healthcare and medical research. If youre eager to work on challenging projects that uses cutting-edge technology to transform the future of healthcare, this is your chance to join a truly remarkable team.Position Summary:We seek a seasoned Analytics Engineering Manager with 12+ years of experience to lead our analytics and software engineering teams in Bangalore. In this role, you will oversee the delivery of analytics, advanced analytics, AI / Automation and digital / software engineering projects supporting supply chain and manufacturing functions for our global organization. If you have a proven track record of leading high-performing analytics teams, driving project delivery, and delivering impactful solutions in a global context, we want to hear from you.Scope of Responsibilities:

• Receives objective-based assignments.
• Determines resources needed to meet goals and deliver tactical results and provides guidance to subordinates within the latitude of established company policies.
• Recommends changes to policies and establishes procedures that affect immediate organization(s).
• Works on assignments of diverse scope where problem solving requires the analysis of data and a variety of relevant factors.
• Erroneous decisions may cause delay in accomplishing short-term and / or annual goals.
• Frequently interacts with subordinate supervisors, customers, and / or functional peer group professionals.
• Leads cooperative efforts with stakeholders outside own area of expertise.
• Interactions require effective communication and presentation of results/recommendations.
• Manages the coordination of activities for a discipline or department.
• Guides team and is responsible for results, including budgets, methods, and staffing.
• Oversees professionals and may be responsible for subordinate supervisors.
• In some instances, may be responsible for a functional area and not have any subordinate employees.

Experience / Education:

• Typically requires a Bachelors degree and a minimum of 8 years of related experience, with 1-3 years of Management experience.

Position Responsibilities:

• Lead and manage a reporting analysts, AI Engineering, and Analytics engineers team.
• Define project scope, goals, and deliverables in collaboration with stakeholders, ensuring alignment with business goals and objectives.
• Develop and implement project plans, schedules, and budgets, tracking progress and managing resources to ensure successful project delivery.
• Develop and implement advanced analytics strategies, frameworks, best practices to support business goals.
• Oversee reporting systems and dashboards' design, development, and maintenance.
• Utilize machine learning techniques to build predictive models and improve processes.
• Provide leadership and guidance to engineering teams, fostering a culture of collaboration, innovation, and continuous improvement.
• Collaborate closely with cross-functional teams, including business analysts, operations, IT, and business stakeholders, to understand requirements and deliver impactful solutions.
• Manage relationships with external vendors, partners, and service providers, ensuring timely delivery of contracted services and solutions.
• Monitor project risks, issues, and dependencies, proactively identifying and mitigating risks to minimize project disruptions and delays.
• Drive continuous improvement in project delivery processes, tools, and methodologies, using industry best practices and lessons learned.
• Provide senior leadership with regular project status updates, reports, and metrics, highlighting key achievements, milestones, and areas for improvement.
• The listed responsibilities are an essential but not exhaustive list of the usual duties associated with the position. Changes to individual responsibilities may occur due to business needs.

All listed requirements are considered essential to this position; however, business conditions may require reasonable accommodations for added tasks and responsibilities.Preferred Experience / Education / Skills:

• Bachelor's degree in Computer Science, Engineering, or related field. Advanced degree (e.g., MBA) preferred.
• 10+ years of experience in leading analytics engineering teams supporting a global organization's supply chain or manufacturing functions.
• Strong domain expertise in building insights, dashboards, reports, scorecards, and reporting applications, with a deep understanding of industry-specific challenges, processes, and technologies.
• Strong domain expertise in life sciences, with a deep understanding of industry-specific challenges, processes, and technologies.
• Experience with Agile methodologies, DevOps practices, and project management tools like JIRA, Confluence, or Azure DevOps.
• Deep understanding of data, analytics, AI, and Automation architecture principles, design patterns, and best practices, with experience developing end-to-end business solutions.
• Experience with advanced analytics and automation tools like Tableau, PowerBI, UIPath, Thoughtspot, R/Python, CortexAI, etc.
• Experience with big data processing frameworks like Apache Spark and cloud-based data platforms like Snowflake.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform is a plus.
• PMP, Agile, or other relevant certifications are a plus.

Leading-Biotechnology-Company