Tiger Analytics Inc.

Role Description We are looking for a Senior Data Scientist with a good blend of data analytics background, practical experience in Operation research strategies and Pricing Analytics within supply chains, and strong coding capabilities to add to our team. - Responsible for refactoring the Optimization algorithm written in Python using Object Oriented Programming. - Work on the latest applications of data science to solve business problems in the Supply chain and optimization space of Retail and/or CPG. - Utilize advanced statistical techniques and data science algorithms to analyze large datasets and derive actionable insights related to Pricing Optimization. - Develop and implement predictive models and optimization algorithms to improve inventory management, reduce stockouts, and optimize resource allocation across the supply chain. - Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions. - Design and execute experiments to evaluate the effectiveness of different replenishment strategies and allocation policies. - Monitor and analyze key performance indicators (KPIs) related to replenishment and supply chain allocation, and provide recommendations for continuous improvement. - Stay abreast of industry trends and best practices in data science, replenishment optimization, and supply chain management, and leverage this knowledge to drive innovation within the organization. - Collaborate, coach, and learn with a growing team of experienced Data Scientists. Qualifications - Proven experience 10+ years working as a Data Scientist, with a focus on supply chain optimization and inventory allocation. - MS or PhD in Computer Science, Operations Research, Applied Mathematics, Machine Learning, or a related field. - Experience with using mathematical programming solvers such as Gurobi, Xpress MP, CPLEX, or Google OR Tools in applications. - Solid understanding of statistical methods, optimization techniques, and predictive modelling concepts. - Strong proficiency in programming languages such as Python, Pyspark and SQL, and experience working with data analysis and machine learning libraries. - Ability to apply various analytical models to business use cases. - Exceptional communication and collaboration skills to understand business partner needs and deliver solutions and explain to business stakeholders. Benefits This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. Company Description 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. - Market leaders in AI and analytics consulting in the CPG & retail industry. - Over 40% of our revenues coming from the CPG & retail sector. - Fastest-growing sector with an emphasis on beefing up talent.

Role Description Tiger Analytics is looking for experienced Data Scientists GenAI to join our fast-growing advanced analytics consulting firm. We are seeking a highly skilled and experienced Lead Data Scientist with strong expertise in GenAI modelling. The ideal candidate will have a proven track record of designing, developing, and deploying scalable GenAI solutions, while leading projects and mentoring teams. - 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 developing plans to help operationalize analytic solutions Qualifications - 6+ years of experience working as a GenAI Data Scientist - Proficiency in Python and SQL - Experience with MLflow and model lifecycle management - Experience with Python from a functional programming paradigm, able to manage dependencies and virtual environments, along with version control in git - Generative AI Knowledge: Solid understanding of latest-generation AI concepts including LLMs, prompt engineering, retrieval-augmented generation (RAG), and other contemporary generative AI applications - Experience with sequential algorithms (e.g., LSTM, RNN, transformer, etc.) - Experience with Bedrock, JumpStart, HuggingFace - Experience evaluating ethical implications of AI and controlling for them (e.g., red-teaming) - Expertise in supervised learning and unsupervised learning along with experience in deep learning and transfer learning - Experience in generative algorithms (e.g., GAN, VAE, etc.) as well as pre-trained models (e.g., LLaMa, SAM, etc.) - Experience developing models from inception to deployment - 5-10 years of professional work experience with at least 5 years in Data Science - Experience building end-to-end ML pipelines in production - Familiarity with CI/CD pipelines, monitoring, and model governance - Ability to design scalable and reliable AI systems - Bachelor's in Business Analytics or equivalent work experience Benefits - Significant career development opportunities exist as the company grows - The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility Company Description Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Role Description We are seeking an experienced AI & Analytics Consulting Manager to lead workflow automation and business transformation initiatives across domains such as Operations and Finance using AI agents, process orchestration platforms, and advanced analytics solutions. This is a highly client-facing consulting role that requires exceptional stakeholder management, strong communication and presentation skills, and the ability to work closely with business leaders to translate operational challenges into scalable AI and automation solutions. The ideal candidate should be comfortable interacting directly with customers and senior business stakeholders, conducting business process discovery sessions, mapping end-to-end processes, identifying automation opportunities, and driving solution implementation. Strong business process mapping expertise using BPMN and hands-on experience with Camunda are critical requirements for this role. - Work directly with business stakeholders and client teams to understand operational challenges, map existing business processes, and identify automation opportunities. - Lead end-to-end business process mapping initiatives using BPMN methodologies and Camunda workflow orchestration tools. - Create deterministic process maps, define subprocesses, establish operational guardrails, and design scalable workflow automation solutions. - Build and implement AI-driven automation solutions using AI automation tools and agentic AI frameworks. - Collaborate with client stakeholders to translate business problems into high-level analytics, automation, and AI solution approaches. - Drive customer-facing discussions, workshops, and consulting engagements with strong communication and presentation capabilities. - Present analytical and automation solutions to senior business audiences, highlighting business impact, scalability, and operational efficiency gains. - Participate in process transformation and workflow optimization initiatives across Operations and Finance functions. - Work with globally distributed analytics, IT, and Data Engineering teams to operationalize automation and analytics solutions within enterprise systems. - Contribute to solution design discussions by applying relevant analytical, automation, and process optimization techniques. - Manage analytics and automation projects end-to-end including stakeholder communication, execution tracking, governance, and delivery management. - Leverage process mining tools to analyze business workflows, identify inefficiencies, and recommend automation opportunities. Qualifications - 6–10 years of professional experience with at least 5 years in Analytics Consulting, Process Transformation, Automation, or related roles. - Strong stakeholder management and customer-facing consulting experience is mandatory. - Excellent communication and presentation skills with strong spoken English and professional client interaction capabilities. - Ability to independently conduct discussions with business users, executive stakeholders, and cross-functional teams. - Strong expertise in business process mapping and BPMN modeling is mandatory. - Hands-on experience with Camunda for end-to-end process mapping and workflow orchestration is required. - Experience with process mining tools is highly preferred. - Experience building automation solutions using AI automation platforms or agentic AI frameworks is preferred. - Strong consulting mindset with the ability to understand business problems and recommend practical automation solutions. - Understanding of Operations and Finance processes is preferred. - Solid understanding of analytics, statistical techniques, and machine learning concepts is a plus. - Strong project management and collaboration skills with experience working across global teams. - Hands-on experience with SQL, Python, or R and visualization tools such as Tableau or Qlik is preferred. - Exposure to cloud and big data technologies such as Hadoop HDFS and Hive is a plus. - Bachelor’s degree in Business Analytics, Engineering, Computer Science, MBA, or equivalent practical experience. Requirements - Exposure to process mining tools and methodologies. - Experience with automation and AI tools (RPA, IDP, OCR, NLP, ML integration). - Familiarity with API-driven and event-driven workflow design. - Experience working in agile, cross-functional teams. - Data literacy and SQL proficiency and the ability to translate process KPIs into queries and reusable views that support monitoring, dashboards, and value realization. - Exposure to a programming language such as Java, Python, or JavaScript is a plus. Benefits - Significant career development opportunities exist as the company grows. - The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility. Company Description Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

Role Description We are looking for a Value Strategy Consultant owning the business relationship with brand planning teams and serving as the strategic voice of allocation performance. You will not manage the allocation engine or build dashboards; your role is to interpret what the numbers mean, why outcomes occur, and what should change, using automated diagnostic tools to translate insights into clear recommendations for vendors, internal partners, and leadership. This role is part strategist, part diagnostician, and part trusted advisor, acting as a fiduciary advocate for brands by proactively identifying issues, driving solutions, and communicating with transparency. Responsibilities - Business Performance Ownership - Lead bi-weekly allocation performance reviews with brand planning teams, covering service level, sales, GM$, GM%, GMROI, sell-through, and allocation accuracy. - Present KPI diagnostics with root-cause analysis: not just “what happened” but “why it happened” and “what we’re doing about it.” - Produce quarterly business reviews for executive leadership that synthesize allocation performance trends and strategic recommendations. - Diagnostic Analysis & Issue Identification - Leverage existing dashboards and alerting tools to monitor allocation outcomes across all brands at the store-SKU level. - Where tools are lacking, work with technical team to get the artifact built or enhanced. - Identify emerging issues before they become problems: sell-through falling behind pace, inventory building in the wrong stores, stockout patterns that signal a model or grading issue. - Decompose KPI misses into demand-side drivers (forecast accuracy, trend shifts) and supply-side drivers (misallocation, replenishment lag, pack constraints) to pinpoint actionable root causes. - Analyze outcomes across product lifecycle types (basics, seasonal basics, fashion) and tailor diagnostic frameworks to each. - Action & Accountability - Translate diagnostic findings into specific vendor improvement tickets with clear success criteria — push the vendor to improve their model where the data warrants it. - Define requirements for in-house diagnostic tools and work with the technical team to prioritize development. - Advise brand planning teams on allocation strategy decisions: store eligibility, DC holdback levels, size curve adjustments, replenishment throttling for end-of-season. - Own the vendor accountability framework: maintain the RACI, track vendor action rates, and escalate when commitments are not met. - Communication & Stakeholder Management - Operate on a proactive communication cadence: reach out to stakeholders with findings and recommendations, don’t wait for them to ask. - Build trust as a fiduciary partner — the brands should believe you are watching their business and will advocate for their outcomes. - Manage the narrative during the transition from the prior consulting model: demonstrate early wins, set realistic expectations, and build confidence in the new capability. Qualifications - 10+ years of experience in strategy consulting role, preferably serving retail clients. - Deep understanding of fashion retail allocation and replenishment processes, including how strategies differ for basics, seasonal basics, and fashion/trend products. - Fluency in retail KPIs: service level, sell-through, WOS, GMROI, allocation accuracy, markdown rate, and how allocation decisions drive each. - Strong analytical intuition. You can look at a performance dashboard and quickly identify which numbers don’t make sense and where to dig deeper. - Exceptional communication and executive presence: you are equally comfortable presenting to a VP of Merchandising and coaching a junior team member. - MBA or equivalent advanced degree, or equivalent depth of experience in strategy and analytics. Preferred - Direct experience at a multi-brand fashion retailer (specialty, department store, or fast fashion). - Background that combines both operator experience (retailer-side) and advisory experience (consulting or vendor-side). - Familiarity with statistical concepts used in allocation diagnostics: forecast accuracy metrics (MAPE, bias), variance decomposition, demand signal analysis. - Experience building or managing a small team and working with contingent/contract technical resources. - Comfort with ambiguity and building a function from scratch — this is not a role where you inherit a playbook; you write the playbook. - Experience working with third-party allocation/planning vendors and managing vendor performance. Benefits - Significant career development opportunities exist as the company grows. - The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Role Description Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. As a Senior/Lead Data Scientist with strong expertise in advanced data processing, you will join our Supply Chain Analytics team. The ideal candidate will have hands-on experience leveraging Python, PySpark, modeling, and EDA experience to solve complex business problems in supply chain optimization. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results. Key Responsibilities - Collaborate with business partners to develop innovative solutions to meet objectives utilizing cutting-edge techniques and tools. - Design and implement graph-based models to analyze, optimize, and improve supply chain networks. - Apply advanced data science techniques to identify patterns, inefficiencies, and bottlenecks across logistics and operations. - Build scalable data pipelines and analytical models using PySpark for large-scale supply chain datasets. - Develop predictive and prescriptive models to support decision-making in areas such as demand forecasting, routing, and inventory management. - Collaborate with cross-functional teams including operations, product, and engineering to translate business challenges into analytical solutions. - Communicate insights and recommendations clearly to stakeholders through data storytelling, visualizations, and presentations. - Share your passion for Data Science with the broader enterprise community; identify and develop long-term processes, frameworks, tools, methods, and standards. - Collaborate, coach, and learn with a growing team of experienced Data Scientists. - Stay connected with external sources of ideas through conferences and community engagements. Qualifications - 8+ years of professional experience in Data Science, Analytics, or related roles. - Strong programming skills in Python with demonstrated use of scientific computing libraries (NumPy, Pandas, SciPy, scikit-learn, etc.). - Experience with PySpark for large-scale data processing and analytics. - Practical exposure to supply chain domain problems such as logistics, distribution networks, or demand planning. - Strong analytical, problem-solving, and communication skills. - Experience developing models from inception to deployment. Benefits - This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. Company Description Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Role Description Tiger Analytics is looking for experienced Agentic AI Engineer with Gen AI experience to join our fast-growing advanced analytics consulting firm. You will be responsible for: - Providing solutions for the deployment, execution, validation, monitoring, and improvement of MLE solutions - Creating scalable Machine Learning systems - Building reusable production data pipelines for implemented machine learning models - Writing production-quality code and libraries that can be packaged as containers, installed and deployed You will collaborate with cross-functional teams and business partners and will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results. Qualifications - Proficiency in Python is essential. - Expertise in LangChain/LangGraph, CrewAI, Semantic Kernel/Autogen and Open AI Agentic SDK - Experience with TensorFlow, PyTorch, Scikit-learn, and AutoML. - Hands-on experience with generative AI models, RAG (Retrieval-Augmented Generation) architecture, and Natural Language Processing (NLP). - Familiarity with AWS (SageMaker, EC2, S3) and/or Google Cloud Platform (GCP). - Proficiency in data preprocessing and feature engineering. - Experience with GitHub for version control. - Proficiency with development tools such as VS Code and Jupyter Notebook. - Experience with Docker containerization and deployment techniques. - Knowledge of Snowflake and Oracle is a plus. - Familiarity with AWS Bedrock API and/or other GenAI APIs. - Skills in building models, testing/validation, and deployment. - Experience working in an Agile framework. Requirements - Experience with data ingestion, data retrieval, and data generation using optimal methods such as hybrid search. - Knowledge of the insurance industry is a big plus. - Working knowledge of Google Cloud Platform is a plus. - 8+ years of industry experience in AI/ML and data engineering, with a track record of working in large-scale programs and solving complex use cases using GCP AI Platform/Vertex AI. - Exceptional command in Agentic AI architecture, development, testing, and research of both Neural-based & Symbolic agents. - Expertise in building agentic systems using techniques including Multi-agent systems, Reinforcement learning, flexible/dynamic workflows, caching/memory management, and concurrent orchestration. - Expertise in Python language to build large, scalable applications, conduct performance analysis, and tuning. - Strong skills in prompt engineering and its techniques including design, development, and refinement of prompts. - Experience in designing, building, and implementing IR/RAG systems with Vector DB and Knowledge Graph. - Strong skills in the evaluation of models and their tools. - Experience in conducting rigorous A/B testing and performance benchmarking of prompt/LLM variations. Benefits This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Role Description Tiger Analytics is expanding its Microsoft partnership and seeking a high-impact Partner Sales Executive to accelerate revenue growth across our priority industries. This role will be responsible for driving the co-sell pipeline, expanding our footprint within existing strategic accounts, and opening new customer opportunities by leveraging the full strength of the Microsoft ecosystem. The ideal candidate brings deep experience in Data/AI consulting services, a strong understanding of Microsoft’s industry priorities, and a proven track record of co-selling with Microsoft field teams to drive measurable revenue outcomes. Responsibilities - Revenue Growth & Co-Sell Execution: - Drive new business pipeline and closed revenue through joint selling with Microsoft account teams. - Identify and pursue co-sell eligible opportunities across Retail/CPG, Manufacturing, and Energy. - Expand Tiger’s presence within existing enterprise accounts by building strong relationships with Microsoft account teams, industry advisors/execs and aligning capabilities to Microsoft’s industry & customer priorities. - Own quarterly revenue targets tied to Microsoft-sourced and Microsoft-influenced pipeline. - Partner with industry and delivery leaders to shape proposals and customer-ready materials. - Microsoft Relationship & Field Engagement: - Build trusted relationships with Microsoft field sellers, industry leaders, and partner teams. - Drive top-of-mind awareness of Tiger’s capabilities across Microsoft’s industry teams. - Participate in Microsoft account planning cycles and industry councils. - Ensure Tiger is represented in Microsoft’s internal deal orchestration motions. - Industry-Aligned Go-to-Market Leadership: - Map Tiger’s industry capabilities to Microsoft’s industry priorities and solution plays. - Develop joint value propositions and co-sell plays tailored to target industries. - Partner with marketing to build co-branded assets and event strategies. - Identify gaps in Tiger’s offerings and collaborate to shape new accelerators. - Partner Program & Operational Excellence: - Leverage Microsoft partner programs and incentives to build and accelerate the pipeline. - Ensure opportunities are properly registered and progressed through the Microsoft partner portal. - Track and report on pipeline, revenue influence, and field engagement metrics. - Drive alignment with Microsoft’s FY priorities and scorecards. Success Metrics - Strong relationships with Microsoft field teams. - Measurable pipeline growth and closed revenue tied to co-sell motions. - Tiger positioned as a go-to partner for Data/AI transformation. - Industry-aligned GTM plays actively used by Microsoft sellers. - Increased visibility in Microsoft planning and customer engagements. Qualifications - 10–12+ years in partner sales, alliance management, or enterprise sales. - Strong experience co-selling with Microsoft. - Deep understanding of Data/AI, cloud transformation, and analytics platforms. - Proven ability to drive pipeline and manage complex enterprise sales cycles. - Experience in at least one target industry; cross-industry fluency preferred. - Strong executive communication skills. Preferred Qualifications - Prior experience at a Microsoft partner or within Microsoft’s field organization. - Familiarity with Microsoft partner programs and co-sell processes. - Familiarity with Microsoft industry clouds/priorities and solution plays. - Ability to operate in a fast-paced, high-growth environment. Benefits - Significant career development opportunities exist as the company grows. - The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment with a high degree of individual responsibility. Disclaimer Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Role Description Seeking a Power BI/BI Consultant to design and deliver scalable analytics solutions for global business teams, with a focus on commercial pharma (sales, field force, and HQ reporting). Candidates should have experience in Power BI development, PBI migrations, and leveraging tools like Alteryx for automated reporting. - Design and develop Power BI dashboards and reports for commercial pharma (sales, field force, HQ reporting) - Translate business requirements into data models, data flows, and scalable BI solutions - Lead/assist in Power BI migration initiatives and reporting automation (Alteryx or similar tools) - Ensure data quality, validation, and governance across reporting layers - Collaborate with cross-functional teams and stakeholders; manage Agile delivery and support enhancements, including chatbot/AI integrations Qualifications - 10-16 years of professional work experience in Commercial Pharma / Life Sciences analytics, insights, or consulting roles - 5-7 years of experience in a BI Manager/Consultant or related role - Strong stakeholder engagement across Commercial, Medical Affairs, and Market Access functions - Strong SQL skills and hands-on experience with analytic tools like R & Python & visualization tools like Power BI - Strong understanding of standard data sources—especially pharmacy, HUB, CRM, IQVIA, alignments, and related datasets—along with the nuances and quality controls required to ensure accuracy - Experience with tools and concepts related to data and analytics, such as data modeling, dimensional modeling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data - Ability to engage with executive/VP-level stakeholders from client’s team to translate business problems to high level analytics solution approach - Experience in managing large accounts and active involvement in account growth. P&L ownership in the past would be an added advantage - Graduate in Business Analytics or MBA or equivalent work experience Benefits - Significant career development opportunities exist as the company grows - The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility Company Description Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Data Analytics, Data Engineering, Business Intelligence, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. We are seeking an experienced Lead Data Scientist to drive advanced analytics initiatives focused on improving forecasting model accuracy and developing Generative AI solutions for explainability. This role requires a strong blend of machine learning expertise, forecasting experience, deep learning knowledge, and hands-on healthcare domain understanding. Key Responsibilities - Lead the design, development, and enhancement of forecasting models to improve prediction accuracy and business outcomes. - Build and deploy advanced Deep Learning models for large-scale structured and unstructured datasets. - Develop Generative AI / Explainable AI solutions to provide transparent and interpretable insights from predictive models. - Analyze healthcare datasets including claims, patient, provider, operational, or clinical data. - Collaborate with business stakeholders, product teams, and engineering teams to translate business challenges into scalable AI solutions. - Monitor model performance, retrain models, and optimize algorithms for production environments. - Mentor junior data scientists and provide technical leadership across the project. - Ensure compliance with healthcare data privacy and governance standards.

Tiger Analytics Inc. is seeking a highly skilled and strategic Finance Director to lead our finance department and contribute to the financial health and growth of the company. As a key member of our leadership team, you will oversee financial planning and analysis, budgeting, forecasting, and ensure effective financial management practices are implemented across the organization. Your expertise will drive financial decision making that supports our analytics business goals and enhances operational efficiency. This is an excellent opportunity for a motivated finance professional to make a significant impact at a thriving analytics firm. Key Responsibilities: - Lead the finance team in preparing accurate financial reports, budgets, forecasts, and financial plans. - Develop and implement strategies to optimize financial performance and ensure compliance with financial regulations. - Collaborate cross-functionally with senior management to align financial objectives with business strategies. - Monitor financial risks and opportunities, providing actionable insights to drive growth. - Establish and enforce robust financial controls and procedures. - Support fundraising efforts and manage relationships with investors and financial institutions as needed.