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Vice President

Acentra Health

15 - 20 years

Chennai

Posted: 11/08/2025

Job Description

Job Title - Vice President – Data

Location: Hybrid – Chennai/Bangalore/Hyderabad/Mumbai/Pune

About the Job

We are seeking a seasoned and visionary leader to join our executive team as the Vice President – Data. This individual will play a pivotal role in shaping the organization’s data strategy, driving actionable insights, and fostering a culture of data-driven decision-making across all levels of the business. The ideal candidate will combine deep technical expertise with strategic thinking and proven leadership capabilities.

What you do

· Strategic Leadership: Define and execute the enterprise-wide data analytics strategy aligned with business goals and innovation priorities.

· Team Development: Build, mentor, and lead a high-performance analytics team including data scientists, analysts, and BI developers.

· Data-Driven Transformation: Drive the organization's transition to a data-first culture by embedding analytics into key decision-making processes.

· Stakeholder Engagement: Collaborate closely with senior leaders, product owners, and operations teams to identify analytical needs and deliver high-impact solutions.

· Advanced Analytics and Innovation: Oversee the design and deployment of machine learning models, predictive analytics, and data visualization frameworks that generate business insights.

· Governance and Data Quality: Partner with Data Engineering and IT to ensure the availability, accuracy, and integrity of enterprise data assets.

· Analytics Enablement: Champion self-service analytics and democratization of data through tools, training, and platforms.

· Industry Intelligence: Stay on the forefront of emerging trends, technologies, and best practices in data science, artificial intelligence, and data governance.

Who you are

Education & Experience

· Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Business Analytics, or a related field

· Minimum 15-20 years of experience in data analytics or data science, with at least 5+ years in a senior leadership role driving enterprise-level analytics initiatives.

· Strong technical proficiency in SQL, Python, and familiarity with big data platforms

· Expertise in machine learning, AI, statistical modeling, and predictive analytics.

· Proven success in leading cross-functional teams, managing complex projects, and influencing C-suite executives.

· Excellent communication and storytelling skills with the ability to translate complex data insights into clear business value.

· Experience with modern BI tools such as Tableau, Power BI, Looker, or similar platforms.

Soft Skills: 

· Commitment to learn and deliver.

· Good communication skills (Written and Oral).

· Willingness to learn, train, and mentor subordinates.

· English Language proficiency is required to effectively communicate in a professional environment.

· Strong problem-solving skills and a creative mindset bring fresh ideas to the table.

· Should demonstrate confidence and self-assurance in their skills and expertise, enabling them to contribute to team success and engage with colleagues and clients in a positive, assured manner.

· Should be accountable and responsible for deliverables and outcomes.

· Should demonstrate ownership of tasks, meet deadlines, and ensure high-quality results.

· Demonstrates strong collaboration skills by working effectively with cross-functional teams, sharing insights, and contributing to shared goals and solutions.

· Continuously explore emerging trends, technologies, and industry best practices to drive innovation and maintain a competitive edge.

About Company

Acentra Health is a healthcare technology company that leverages data analytics and decision support tools to improve patient care and operational efficiency. They provide services to healthcare organizations such as payers, providers, and public health organizations. Acentra Health’s solutions aim to enhance healthcare delivery by optimizing clinical and operational workflows, reducing costs, and improving patient outcomes.

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