Sr Manager Data Analytics (Hea Job/ 54)

Position Summary:

We are seeking  a seasoned Data Analytics Manager with 15+ years of expertise to lead our analytics and software teams based in Bangalore. In this role, you will oversee the delivery of analytics, advanced analytics, AI/automation, and digital/software initiatives, supporting global business services India, global supply chain, quality and manufacturing functions. You will also collaborate closely with data engineering teams to ensure scalable architecture, and seamless integration across platforms. We’re seeking a strategic leader who can build and manage large teams, foster cross-functional collaboration, and cultivate a culture of continuous improvement and innovation in a global context.

Position Responsibilities:

• Lead and manage a reporting/AI/digital/data analysts team and collaborating closely with Data Enginneering team to build up robust apps.
• Collaborate closely with cross-functional teams, including business analysts, operations, IT, and business stakeholders, to understand opportunities around applying digital, data, automation technologies to drive a significant business impact
• 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/insights strategies, frameworks, best practices to support business goals.
• Oversee the design, development, and deployment of solutions, ensuring that they meet the highest standards for performance, scalability, and security.
• Utilize machine learning techniques to build predictive models and improve processes.
• Provide leadership and guidance to analytics teams, fostering a culture of collaboration, innovation, and continuous improvement.
• 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.
• Lead continuous enhancement of project delivery processes, tools, and methodologies by leveraging industry best practices, incorporating lessons learned, and proactively introducing innovative approaches to strengthen team capabilities.
• 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.

Preferred Experience/Education/Skills:

• Bachelor's degree in Computer Science, Engineering, or related field. Advanced degree (e.g., MBA) preferred.
• 15+ years of experience in leading analytics teams supporting a global organization's supply chain, quality or manufacturing functions.
• Excellent leadership, communication, and interpersonal skills, with the ability to influence senior executives and guide teams through complex challenges.
• 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.
• Proven track record of delivering complex projects on time and within budget, particularly those supporting global operations (e.g., manufacturing, supply chain).
• 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.
• Experienced in project management tools such as JIRA, Azure DevOps, Confluence and Certifications such as PMP, Agile, or equivalent is highly desired.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform is a plus.