AVP I, Data Systems and Analytics

About the Role

The AVP Data Systems and Analytics is responsible for managing and contributing to the end-to-end delivery of Data Systems & Analytics initiatives. This role involves business analysis, technical systems analysis, design, development, and maintenance of software to support process automation, optimization, acceleration, and experience. The position requires advanced technical and business knowledge, leadership in information management techniques, structured system development methodologies, software development tools, and change management.

Responsibilities

• Understand, interpret, and translate development requirements into necessary designs and documentation.
• Determine how a system should work and how changes in conditions, operations, and the environment will affect outcomes, with knowledge of products and system architecture.
• Identify and compile data sets using appropriate tools to help predict, track, improve, and measure the success of key digital features and projects.
• Document data requirements, data collection, processing, cleaning, and exploratory data analysis, including utilizing statistical models, algorithms, and data visualization techniques.
• Create dashboards and analyze insights to improve business performance in various reporting domains.
• Work hands-on as needed, especially in a growing team where additional resources may not always be available.
• Apply knowledge of architectural, design, and coding best practices, including devising, defending, and communicating them to developer teams.
• Triage techno-functional issues and facilitate resolution by assembling required teams.
• Demonstrate understanding of various software delivery methodologies (waterfall, iterative, Agile), their implementation, and respective pros and cons.
• Work with platform squads to define engineering standards, best practices, and tooling required for the team.
• Stay ahead of the curve by aligning architecture, user experience, and security with chapters and Centers of Excellence (COEs).
• Partner with product, technology, program management, and other stakeholders to prioritize and plan roadmap items.
• Collaborate with cross-functional technology and product teams to build, test, and deploy products.
• Identify opportunities to improve productivity and quality.
• Serve as a mentor, technical leader, and thought leader for the team by challenging and helping them grow.
• Perform other duties as assigned.

Requirements

• Bachelor’s degree in computer science or equivalent industry working experience.
• 12+ years of working experience in IT organizations.
• At least 6 years of software development experience, preferably in Data Engineering (ELT/ETL, Visualization, Modeling, etc.).
• Broad understanding of different technology patterns (Batch frameworks, API, Event-driven systems, Databases).
• Experience with SQL & NoSQL databases (Oracle, Postgres, Elasticsearch, Cassandra, DynamoDB, Snowflake, etc.) and file systems like Avro, Parquet, etc.
• Experience with Kafka, Storm, Airflow, Flink, and Logstash.
• Experience with analytics & visualization tools like Tableau, Superset, Kibana, Hive, Spark, etc.
• Experience in Agile methodology for software development.
• Proficient in verbal and written communication, creating reports and presentations for senior executives.
• Experienced in using MS Office tools, JIRA, or other collaboration tools.
• Experienced in people management and performance management.
• Strong communication and collaboration skills to engage different audiences (technology leadership, business leadership, team members, etc.).
• Strong understanding of ITIL framework and experience in change management and problem management.

Preferred Qualifications

• Master’s degree in computer science or equivalent industry working experience.
• Understanding or experience with the AI ecosystem (RAG, Agentic AI, and LLMs).
• Experience with open-source data technologies like Minio, Doris, Feast, etc.
• Technology certifications (AWS, Snowflake, Spark, etc.).