Data and Analytics Delivery Head

Job Title : Data and Analytics Delivery Head

Location : Bangalore

About Algonomy

Algonomy empowers leading retail brands with AI-driven analytics to personalize customer experiences, optimize retail operations, and drive measurable growth. With our comprehensive suite of data, AI, and decisioning tools, we enable retailers to harness their data for intelligent, real-time actions that meet the evolving demandsof today's consumers.

Job Summary

The Data and Analytics DeliveryHead will overseethe successful deliveryof Algonomy's data andanalytics projects, ensuringour retail clientsderive maximum value from their data assets. This leadership role involvessetting strategy, managingdelivery teams, collaborating across functions, and upholding data governance and quality standards. The ideal candidate brings strong technicaland business acumento build and execute data-driven strategies aligned with Algonomy's mission of transforming retail with data-driven insights.

Key Responsibilities

Strategic Leadership

Develop and implement a comprehensive data and analytics delivery strategy tailored

to Algonomy's retail and customer-centric focus.

Lead and manage the data and analytics delivery team, ensuring alignment with

Algonomy's broader objectives.

Engage with senior leadership to define and prioritize data-driven initiatives, leveraging analytics to inform business decisions.

Project and Program Oversight

Oversee end-to-end delivery of complex data and analytics projects, ensuring timely, high-quality, and cost-effective outcomes.

Establish project governance, risk management, and quality assurance standards for effective project delivery.

Monitor project portfolios and allocate resources to optimize productivity across multiple client engagements.

Stakeholder Collaboration and Engagement

Serve as the primary liaison between data delivery teams, sales, product, and client- facing teams to ensure client needs are met.

Present data strategies, project status, and insights effectively to both technical and non-technical stakeholders, fostering alignment.

Drive collaboration with product management and engineering teams to align on data needs and operational goals.

Innovation and Technology Adoption

Stay abreast of the latest trends in data science, machine learning, and AI to enhance

Algonomy's data capabilities.

Drive the adoption of advanced analytics tools and technologies to improve data delivery efficiency and solution impact.

Assess and recommend new tools, platforms, and partners to continuously improve data solutions.

Team Development and Leadership

Recruit, mentor, and retain a high-performing data and analytics team, fostering a culture of collaboration and continuous improvement.

Set performance goals, conduct regular evaluations, and provide ongoing feedback to support team growth.

Key Qualifications

1. Educational Background: Bachelor's or Master'sdegree in Data Science, Computer

Science, Business Administration, or a related field.

Experience: 15+ years of experience in data and analytics, including at least 5 years in a leadership role with a proven track record in delivery management.

Technical Proficiency: Deep understanding of data warehousing, data visualization, data governance, and big data tools (SQL, Python, R, Tableau, Power BI, and cloud platforms like AWS, Azure, or Google Cloud).

Retail Analytics Knowledge: Familiarity with retail analytics and customer engagement platforms is preferred.

Project Management Expertise: Strong background in Agile, Scrum, or other project management methodologies.

Leadership and Communication: Excellent interpersonal and communication skills, with a demonstrated ability to lead, influence, and engage stakeholders at all levels.

Analytical and Problem-Solving Skills: Strong analytical mindset with a track record of delivering actionable insights from complex data.

Why Join Algonomy

Join a team that is transforming the retail industry with cutting-edge AI and data-driven solutions. At Algonomy, you'll have the opportunity to lead impactful projects, work with some of the brightest minds in data science and technology, and drive innovation in the evolving world of retail.