Assistant Manager - Business Intelligence & MIS

Sanas is pioneering the future of human communication. Founded by a team of Stanford researchers and entrepreneurs with deep industry experience, Sanas has developed the world's first real-time speech AI platform capable of accent translation, noise cancellation, speech enhancement, cross-language communication, and more.

Sanas makes conversations clearer, more inclusive, and more effective, removing barriers that prevent people from being understood, regardless of accent, background noise, or native language.

Sanas is currently one of the fastest growing startups in Silicon Valley, growing from $16M to $50M ARR in 2025. The company's core business is profitable and is on track to end 2026 with >$77M ARR. Our team combines deep expertise in model innovation and systems engineering with a design-minded product engineering culture to build and ship cutting-edge AI models and experiences — entirely in-house.

Sanas is a 130 person team, established in 2020. In this short span, we've successfully secured over $100 million in funding. Our innovation has been supported by the industry's leading investors, including Insight Partners, Google Ventures, Quadrille Capital, General Catalyst, Quiet Capital, and other influential investors. Our reputation is further solidified by collaborations with numerous Fortune 100 companies. With Sanas, you're not just adopting a product; you're investing in the future of communication.

If you’re looking to have a significant role in roadmapping and driving technical directions, if you’re looking to deploy challenging and big ideas without much overhead or slowness, if you're looking to leave your mark on an ambitious, generational mission to change how the worlds thinks about speech + AI, then Sanas is a well-suited place for you.

About the role
Sanas is looking for a Manager of Business Intelligence and MIS to own the single source of

truth for reporting across the organization. This role sits at the centre of Operations,

Finance, Product, Customer Success and Delivery, and is accountable for turning fragmented

data into trusted, decision-ready insight. This is not a report-generation role. We are

looking for someone who will architect the data foundation, design the reporting experience

on top of it, and use modern AI tooling to make analytics genuinely self-serve for business

users.

What you'll do

• Key Responsibilities
  
  Data Foundation
• Design, build and maintain ETL/ELT pipelines consolidating data from internal systems,product telemetry, CRM, ticketing and finance platforms.
• Build and own the semantic layer - governed metric definitions, business-friendly data models and certified datasets that everyone reports from.
• Establish data quality, reconciliation, lineage and refresh SLAs so numbers areconsistent across every report.
• Partner with Engineering and Data teams on warehouse architecture, schema design and performance optimisation.
  
  Reporting & Dashboard Delivery
• Own the enterprise dashboard portfolio - executive scorecards, departmental operating dashboards and program-level reporting.
• Apply strong visual design and information hierarchy principles; dashboards should be intuitive, fast and genuinely usable, not dense grids of numbers.
• Run the recurring MIS cadence: daily, weekly, monthly and quarterly business reporting packs.
• Work with department leaders to define KPIs and metric definitions, and govern changes to them over time.
  
  AI-Enabled Analytics
• Stand up conversational, natural-language analytics on top of the semantic layer, enabling business users to ask questions in plain English and get trusted answers without raising a request.
• Use Microsoft Copilot and comparable AI tooling to accelerate pipeline development, data modelling, DAX/SQL authoring, documentation and QA.
• Deliver on-demand generation of reports, narratives and executive summaries using AI, reducing manual reporting effort.
• Evaluate and pilot emerging AI analytics capabilities, and set the standards and guardrails for their safe use across the business.

Qualifications

• 5-9 years of experience in Business Intelligence, MIS or Analytics, including experience leading a function or a team.
• Advanced SQL and hands-on data warehousing experience
• Proven experience designing and building ETL/ELT pipelines at scale.
• Deep expertise in at MS Power BI enterprise BI platform with a genuine eye for visual dashboard design.
• Demonstrable recent, hands-on use of AI tools within an analytics workflow - Copilot or equivalent - with examples of what was built and the impact delivered.
• Strong stakeholder management skills and the ability to translate ambiguous business questions into clear analytical outcomes.
  Preferred Qualifications
• Exposure to contact center, BPO and CX or SaaS metrics
• Experience with Python or dbt for transformation and automation.
• Familiarity with data governance, access control and data privacy practices.
• Experience supporting global stakeholders across multiple time zones.