Head of Data & Analytics -BFSI -Capital Market
Our client is a premier stockbroking company and a subsidiary of Large Bank, one of the world's largest financial services conglomerates. With a strong focus on technology and innovation, they offers a wide range of investment and trading services to retail and institutional clients, including online trading, investment advisory, and research services, making it a trusted partner for investors in India.
We are searching for Head of Data and Analytics
Qualification : B.Tech and MBA from Premier institute .
Experience: 12 to 18 years , out of witch at least 3-4 years in Capital Market
Location : Mumbai
Job Description:
- As a Head of Data & Analytics , you will be pivotal in driving a culture of data-driven decision-making throughout the organization.
- You will be responsible for developing and implementing data & analytics strategies, managing a team of data engineering professionals, shaping the data architecture, building and managing data solutions, and leading data analytics initiatives across the organization.
- This role is critical in helping our company leverage data to gain a competitive advantage, optimize operations, and achieve strategic objectives.
- This hands-on leadership role that requires a deep understanding of data & cloud technologies, strong leadership skills, and a passion for innovation.
Responsibilities:
Team Leadership:
- Lead and mentor a team of cloud engineers, fostering a culture of collaboration, innovation, and continuous learning.
- Set clear goals and performance expectations for the team and provide regular feedback and coaching.
Data Strategy & Vision:
- Develop and execute a comprehensive data and analytics strategy that aligns with the company's goals and objectives.
- Drive a culture of data-driven decision-making throughout the organization.
Data Engineering Leadership:
- Develop and execute a robust data engineering strategy, encompassing data collection, ingestion, transformation, and storage.
- Lead a team of data engineers to design and maintain data pipelines and infrastructure.
Data Governance and Quality:
- Establish and maintain data governance policies and procedures to ensure data accuracy, consistency, and security.
- Oversee data quality initiatives, data cleansing, and data integration efforts.
Data Architecture and Infrastructure:
- Manage data infrastructure, including databases, data warehouses, and analytics tools.
- Collaborate with IT and Engineering teams to ensure data infrastructure is scalable and efficient.
Data Technology and Tools:
- Evaluate, recommend, and implement cutting-edge data technologies and tools to enhance data processing and analysis capabilities.
Data Analysis & Insights:
- Work collaboratively with business teams to lead the development and execution of data analysis projects to derive actionable insights and support decision-making.
- Ensure data visualization and reporting tools are in place to communicate findings effectively.
Data Security & Compliance:
- Ensure data privacy and compliance with relevant data protection regulations.
- Establish and maintain best practices for data security.
Disaster Recovery and Business Continuity:
- Ensure disaster recovery plans and procedures are in place for the data platform and tools to ensure business continuity during system failures or disasters.
- Ensure business uptime of Platform Infrastructure.
Vendor Management:
- Evaluate and manage relationships with cloud service providers, optimising costs and leveraging new services and features.
- Reviewing and defining SLA with various vendors, Managing and tracking of defined SLAs
Qualifications, Experience & Expertise:
- A bachelor's or master's degree in data science, Computer Science, Business, or a related field with above-average academic grades
- Professional certifications in data management or analytics will be highly desirable.
- A total of 12 to 18 years of experience with at least 3+ years in Capital Markets
- Proven experience in data engineering, data analytics, and data strategy development.
- Strong engineering management background with expertise in data tools and technologies such as data warehouses, data lakes, ETL, and data visualization tools.
- Strong leadership and team management skills.
- Excellent problem-solving, critical thinking, and communication skills.
- Prior experience in building and leading data engineering and analytics teams
Location:
Mumbai. They do support flexible timings for fostering a balance between in-person collaboration and the convenience of tailoring work hours to individual needs.
Please apply on IIM jobs .
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