Tiger Analytics

• Responsible for designing, implementing, and governing enterprise Master Data Management solutions. • Lead the design and implementation of MDM solutions for Commercial domains (HCP, HCO, Affiliation, Product, Territory, Customer hierarchies). • Define golden record strategy, survivorship rules, match/merge logic, and data stewardship workflows. • Establish MDM reference architecture aligned to enterprise data strategy and regulatory requirements. • Configure and manage Informatica MDM including data models, match rules, trust frameworks, and hierarchies. • Design and develop ETL/ELT pipelines using Informatica PowerCenter / IICS. • Define and enforce data quality rules, KPIs, and exception handling. • Act as a subject matter expert for Commercial master data. • Collaborate with Sales Ops, Marketing Ops, Market Access, and Analytics teams. • Engage senior stakeholders to align data standards, priorities, and roadmap. • Provide thought leadership on MDM best practices and operating models.

• Manage coordination for and within the US and LATAM recruitment team • Work closely with the recruiters, hiring managers and vendors on various positions in analytics • Support the recruiting team track the candidates progress through the pipeline • Sourcing and screening profiles, creating and maintaining the pipeline • Support the lead recruiter in adhoc tasks • Maintain ATS system, collect feedback and calibrate the process • Engaging and attracting talent from senior consultants to leadership positions • Interview planning, offer, negotiation with pointers from the hiring managers • Create partnerships with external recruiting firms or contractors for urgent requirements • Perform administrative duties as required to support the recruitment team

• Work on the latest applications of data science to solve business problems. • Work directly with client stakeholders to translate business problems into high level analytics solution designs. • Present analytic solutions to business audiences highlighting robustness of the solution and how it could help generate business value. • Develop end-to-end solutions based on in-depth understanding of business problems to ensure analytics solutions are delivered efficiently, predictably, and sustainably. • Design and develop machine learning and Generative AI solutions using RAG. • Build LLM-powered applications leveraging Azure OpenAI and orchestrate workflows using LangGraph. • Develop agentic AI workflows for automation, insights generation, and decision support. • Implement Document Intelligence solutions for extracting insights from unstructured data. • Participate in discussions with team members to select and apply relevant analytic techniques and create actionable business insights. • Responsible for making presentations to senior management, communicating results to business teams, and develop plans to help operationalize analytic solution.

- Lead the end-to-end delivery of pricing and profitability analytics models for credit card portfolios. - Partner directly with senior business leaders in the Credit Risk, Pricing, and Profitability domains to understand business objectives and translate them into analytical solutions. - Drive client engagement, manage stakeholder expectations, and present insights and recommendations to executive leadership. - Lead and mentor offshore analytics teams, ensuring high-quality deliverables and timely project execution. - Oversee model development, validation, implementation, and continuous improvement while maintaining strong governance and quality standards. - Collaborate with cross-functional teams, including business, product, data engineering, and technology, to deliver scalable analytical solutions.

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce. If you are passionate about working on business problems that can be solved using structured and unstructured data on a large scale, Tiger Analytics would like to talk to you. Responsibilities**Program Leadership & Delivery: **Lead the end-to-end delivery of complex data and analytics programs. Own the roadmap, from problem definition and solution design to production-grade deployment. **Stakeholder Management: **Act as the primary point of contact for client VPs and Directors. Translate unstructured business problems into high-level analytics solution designs. **Global Team Management**: Lead and mentor a hybrid team of onshore (US) and offshore (Global Delivery Center) data scientists and data engineers. Ensure seamless collaboration across time zones. **Solution Architecture:** Work with technical leads to design of scalable AI/ML pipelines and data architectures. Ensure solutions adhere to enterprise standards and leverage modern technology stack **Domain Expertise:** Apply deep Medical device domain knowledge to validate model outputs and ensure they align with industry nuances **Commercial Impact:** Present analytical findings and quantify the business value and drive the operationalization of AI into business processes.

• Assess the current Martech ecosystem, including platforms, interfaces, dependencies, and data flows. • Document current-state and target-state architecture for Martech consolidation initiatives. • Identify duplication, redundancy, integration gaps, and rationalization opportunities across tools and platforms. • Define unified data and business process flows across the ecosystem. • Define integration approaches, interface patterns, and solution design recommendations aligned with enterprise standards, including resilience, failover, and risk considerations. • Develop recommendations for consolidating overlapping applications into a simplified and scalable future-state landscape that supports AI-driven initiatives. • Work with business, product, engineering, security, and operations stakeholders to translate requirements into practical architecture decisions. • Contribute to implementation planning, sequencing, and governance for consolidation workstreams. • Produce clear architecture documentation, decision logs, and dependency views to support execution teams.

• Assess the current Martech ecosystem, including platforms, interfaces, dependencies, and data flows. • Document current-state and target-state architecture for Martech consolidation initiatives. • Identify duplication, redundancy, integration gaps, and rationalization opportunities across tools and platforms. • Define unified data and business process flows across the ecosystem. • Define integration approaches, interface patterns, and solution design recommendations aligned with enterprise standards, including resilience, failover, and risk considerations. • Develop recommendations for consolidating overlapping applications into a simplified and scalable future-state landscape that supports AI-driven initiatives. • Work with business, product, engineering, security, and operations stakeholders to translate requirements into practical architecture decisions. • Contribute to implementation planning, sequencing, and governance for consolidation workstreams. • Produce clear architecture documentation, decision logs, and dependency views to support execution teams.

• Manage and maintain accurate operational data across internal systems, including CRM/Dossier, ensuring data integrity and consistency. • Execute resource allocation and cost allocation activities while reconciling project information against Statements of Work (SoW) and billing systems. • Act as a primary coordination point between Client Partners (CPs), Offshore Staffing Teams, and FinOps for operational and administrative processes. • Support project setup activities, financial data validation, and resource deployment tracking to ensure seamless delivery operations. • Generate, maintain, and distribute daily, weekly, and monthly operational reports for leadership and stakeholders with high accuracy and timeliness. • Ensure adherence to reporting standards, defined formats, and data quality requirements across all deliverables. • Collaborate effectively with multiple onshore and offshore support functions to streamline operational workflows and manage interdependencies. • Maintain strict governance, confidentiality, and compliance standards while handling sensitive employee and operational data. • Support continuous improvement initiatives by identifying operational gaps, improving reporting efficiency, and enhancing data management processes.

• Design and deliver high-quality, scalable Tableau dashboards aligned to business priorities • Translate stakeholder needs into structured analytics solutions and intuitive visual experiences • Act as a trusted advisor to business and leadership teams, shaping data-driven decisions • Champion data visualization best practices, design standards, and governance frameworks • Lead enablement efforts (training, mentorship, playbooks) to scale Tableau adoption • Partner with data teams to ensure robust data models, semantic consistency, and performance optimization

• Provide administrative support for immigration-related processes, including: • Schedule immigration-related briefings and appointments with internal teams and external counsel. • Monitor I-9 re-verification processes to ensure compliance. • Coordinate LCA compliance, including postings and public access file maintenance. • Liaise with third-party vendors, manage invoice reviews, and resolve invoicing issues. • Track and maintain all Visa & Immigration (V&I) program activity. • Prepare and submit reports on V&I metrics as requested. • Maintain up-to-date immigration program and policy documentation. • Cross-train and support other functions within the Global Mobility team.