Manager - Data Analytics (10-18 yrs)

Position- Manager, Data Analytics

Job Location - Bangalore

Mandatory Skills:

1. Performance Review Experience (Minimum 4 + years)

2. People Management experience

3. Supply Chain Data Analytics

4. Software Development

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.

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.