The Data & Analytics function is dedicated to designing and delivering robust global data platforms that enable business solutions and high-quality analytics. The Analytics Lead (Manager) manages a team of analytics engineers accountable for delivering trusted, analytics-ready data products, semantic models, and self-service capabilities that turn enterprise data into actionable insight. This leader defines the analytics roadmap, drives adoption and enterprise data literacy, ensures governed and AI-ready data consumption, and partners with the Head of Data & Analytics and service line stakeholders to maximize the business value of data across the organization.
o Align the analytics roadmap with enterprise Data & Analytics strategy, business outcomes, and service line priorities, ensuring fit-for-purpose analytics products prioritized by measurable value and ROI.
o Define analytics service offerings (self-service reporting, curated datasets and semantic models, reusable analytics patterns, and tiered service levels).
o Establish standards for analytics-ready (gold-layer) datasets, semantic models, and metric definitions to ensure consistent, trusted, and certified reporting.
o Sponsor data quality and observability for analytics outputs, including SLAs for data freshness and availability against consumer expectations.
o Ensure governance-by-design across analytics: standardized access, classification/metadata, end-to-end lineage, retention controls, and certified datasets.
o Partner with Data Governance, Privacy, and Data Owners/Stewards to ensure analytics outputs are accurate, compliant, and responsibly and ethically used.
o Mature analytics engineering standards, reference patterns, and semantic models across the Medallion (Bronze/Silver/Gold) architecture, leveraging dbt for transformation and Power BI for delivery.
o Drive analytics automation and productivity: CI/CD for analytics assets, semantic-layer reuse, and AI-ready data preparation (including Snowflake Cortex AI enablement).
o Provide executive-level stakeholder management for analytics delivery commitments, intake and prioritization, and escalations.
o Build and lead a high-performing team of analytics engineers.
o Define operating model, roles, sourcing strategy (including global delivery centers), and technical and analytics career paths.
o Set measurable goals for adoption, data quality, delivery velocity, cost, and user satisfaction.
Education / Professional Experience/ Qualifications
Now part of Grant Thornton US, Auxis is a leading consulting and tech-enabled nearshore outsourcing pioneer focused on helping organizations achieve a competitive edge through innovative processes, leading technologies, and world-class shared services. Fortune 1000 and upper-middle-market organizations have relied on Auxis’ customized solutions since 1997 to obtain real benefits and ROI from their transformation programs.
Recognized as a top outsourcing company globally by respected research firms, Auxis delivers comprehensive solutions to modernize and scale business operations across Finance, IT, Cybersecurity, HR, Customer Service, and specialized industry functions. Its nearshore delivery platform is supported by award-winning Digital Transformation capabilities spanning Intelligent Automation & RPA, AI, Agentic, Analytics, and Cloud.
Auxis is a subsidiary of Grant Thornton, the brand name for Grant Thornton LLP and Grant Thornton Advisors LLC, the U.S. member firms of Grant Thornton International Ltd. Grant Thornton is part of the Grant Thornton International Limited network, which provides access to its member firms in more than 150 global markets.
Grant Thornton International Limited (GTIL) and the member firms, including Grant Thornton LLP and Grant Thornton Advisors LLC, are not a worldwide partnership. Services are delivered by the member firms. GTIL and its member firms are not agents of, and do not obligate, one another and are not liable for one another’s acts or omissions. Please see www.grantthornton.com for further details.
