Senior Engagement Manager - Business Insights & Analytics at STREAMVECTOR INC D B A SIGMOID ANALYTICS

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

23 Jun, 26

Salary

0.0

Posted On

25 Mar, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analytics, Business Intelligence, Data Platforms, Data Modeling, Semantic Layers, Analytics Architecture, Client Relationship Management, Stakeholder Management, Data Strategy, Analytics Adoption, Team Mentoring, Delivery Streams Management, Business Insights, KPI Frameworks, Dashboard Development, Data Governance

Industry

Business Consulting and Services

Description

Business Insights and Analytics (EM/Sr.EM) About Sigmoid: Sigmoid empowers enterprises to make smarter, data-driven decisions by blending advanced data engineering with AI consulting. We collaborate with some of the world’s leading data-rich organizations across sectors such as CPG-retail, BFSI, life sciences, manufacturing, and more to solve complex business challenges. Our global team specializes in cloud data modernization, predictive analytics, generative AI, and DataOps, supported by 10+ delivery centers and innovation hubs, including a major global presence in Bengaluru and operations across the USA, Canada, UK, Netherlands, Poland, Singapore, and India. Recognized as a leader in the data and analytics space, Sigmoid is backed by Peak XV Partners and has consistently received accolades for innovation and rapid growth. Highlights include being named a ‘Leader’ in ISG’s Specialty Analytics Services for Supply Chain (2024), a two-time ‘India Future Unicorn’ by Hurun India, and a four-time honoree on both the Inc. 500 and Deloitte Technology Fast 500 lists. An ideal person will come with a good mix of experience in developing complex business intelligence dashboards and provide insights. This position will give you an immense opportunity to work on challenging business problems faced by fortune 500 companies across the globe. Responsibilities Architect and deliver scalable data and analytics solutions that transform complex datasets into actionable insights aligned with business objectives and strategic priorities. Lead business and stakeholder discussions to translate business challenges into robust technical and analytical solutions. Design and implement business KPI frameworks and metrics hierarchies that enable consistent performance tracking and informed decision-making. Generate deep business insights that go beyond reporting to uncover trends, drivers, and opportunities for growth, efficiency, and performance improvement. Design, develop, and optimize business dashboards, queries, data models, and semantic layers to ensure performance, scalability, and usability. Contribute to and guide the development of modern data architectures that support scalable analytics and evolving business needs. Drive data-driven decision-making by aligning analytics outputs with business strategy and operational priorities. Establish and maintain best practices, documentation standards, SOPs, and governance frameworks for analytics and reporting solutions. Collaborate with data engineering, BI, and business teams, mentor team members, and manage multiple engagements to ensure timely delivery and stakeholder satisfaction. Experience and Qualifications 8–12+ years of experience in Data Analytics, Business Intelligence, or Data Platforms. Proven experience leading analytics programs, data platforms, or enterprise BI initiatives. Deep expertise in data modeling, semantic layers, and scalable analytics architecture. Strong experience managing client relationships and cross-functional teams. Demonstrated ability to drive data strategy, analytics adoption, and business impact. Experience mentoring teams and managing multiple delivery streams simultaneously. Strong analytical mindset with the ability to convert complex data into actionable insights. Exposure to domains such as BFSI, CPG, Supply Chain, Manufacturing, or Marketing is a plus. Strong problem-solving and prioritization skills in dynamic environments. Strong executive communication and stakeholder management skills. Good to Have Experience designing Gold layers and Semantic layers within modern data architectures. Familiarity with AI-driven conversational chatbots and intelligent reporting assistants. Exposure to AI-powered control towers and advanced monitoring solutions.

Responsibilities

The role involves architecting and delivering scalable data and analytics solutions to transform complex datasets into actionable insights aligned with business objectives. Responsibilities include leading stakeholder discussions, designing KPI frameworks, generating deep business insights, and managing the development and optimization of dashboards and data models.