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Finance Executive Jobs

8,308 active opportunities · Updated for October 2026

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Explore current finance executive jobs. Use filters to narrow by work mode, employment type, experience and date posted.

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Zoox
📍 Boston• Full-time• Hybrid• $153K – $208K/yr
5mo ago

As Strategic Sourcing Manager of Direct Procurement, you will be responsible for Zoox’s strategic sourcing and industry partnerships, which includes working cross-functionally to understand needs for third-party engagement across the business, finding and evaluating potential partners and suppliers, drafting and issuing RFQs, leading the negotiation of all key terms and conditions as well as pricing, managing commercial and supply chain issues, identifying and executing on cost reduction opportunities, and overall management of third party relationships. You can operate independently and possess expertise in electronics, powertrain, chassis, body, safety systems, EV charging, fleet maintenance or capital equipment. In this role, you will: Lead procurement and partnership initiatives for vehicle direct materials (interiors, structural components, advanced hardware) and/or operations infrastructure (EV charging, vehicle maintenance, capital equipment) Proactively engage with Zoox stakeholders (incl. engineering, operations, manufacturing, strategy, finance, and design) to derive and execute the medium-term (3-5 years) business and technology roadmap to support Zoox’s vehicle development program and autonomous ride-hailing service Develop the supply chain and partnership footprint with a long-term, strategic view Lead the day-to-day process of ensuring successful partnerships (milestone adherence, change order management, quality assurance, cost control, etc.) and build supplier performance assessments to support future sourcing decisions Design, conduct, and synthesize supplier, industry, and market research Drive cost transparency and build total cost of ownership models to support sourcing decisions Ensure optimal contract coverage for the commodity/service in partnership with engineering and legal support Build and maintain strategic relationships with key suppliers as the lead point

machine learningExcelfinance
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OpenAI
📍 San Francisco• Full-time• Remote• $226K – $285K/yr
5mo ago

About the Team OpenAI’s Hardware organization is building the infrastructure foundation for frontier AI systems. The Supply Chain organization is responsible for enabling scalable, resilient, and efficient supply chains across custom silicon, systems, networking, memory, storage, and rack-scale infrastructure. The Supply Chain Program Manager (SCPM) drives end-to-end material readiness and supply chain execution across the hardware lifecycle, from early architecture and sourcing strategy through production ramp and sustaining operations. We are looking for experienced supply chain leaders who can operate across technical, commercial, and operational domains to ensure material readiness, supply continuity, and execution excellence for complex AI hardware programs. About the Role As a Supply Chain Program Manager, you will own material readiness and supply chain execution for critical hardware programs spanning custom silicon, systems, memory, storage, networking, and rack infrastructure. You will work cross-functionally with Engineering, Strategic Sourcing, Manufacturing Operations, Finance, Planning, Quality, and external suppliers to develop and execute scalable supply strategies that support aggressive product development and deployment timelines. This role requires deep understanding of hardware supply chains, material planning, NPI execution, supplier management, and operational scaling in constrained and rapidly evolving environments. Responsibilities Material Readiness & Supply Planning - Own end-to-end material readiness across NPI and production phases, including building the necessary framework and processes for enablement. Drive supply planning and execution for long lead-time and constrained commodities including ASICs, HBM, DDR, SSDs, networking, optics, power, thermal, and mechanicals. Build and manage material readiness plans aligned to proto/pre-EVT, EVT, DVT, PVT, and mass production schedules. Monitor supply health, lead times, inventory positio

REMOTEartificial intelligenceaifinance
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OpenAI
📍 San Francisco• Full-time• Remote• $293K – $325K/yr
5mo ago

About the Team Our team turns OpenAI’s latest model capabilities into polished, trusted products for consumers and developers. We build the end-to-end experiences including product surfaces, platform layers, and developer workflows that make cutting-edge AI accessible, useful, and dependable at scale. OpenAI’s Financial Engineering (FinEng) team powers how revenue flows through our products - pricing and packaging, checkout, payments, subscriptions, and the financial infrastructure behind them. We partner closely with Engineering, Data Science, Risk, Finance, and Go-to-Market to make paying for OpenAI products seamless, reliable, and efficient worldwide. We pair rapid innovation with a rigorous approach to responsible deployment. Safety and trust are built into how we design, ship, and learn from real-world usage, so these tools deliver meaningful value while aligning with OpenAI’s mission. About the Role We are seeking an experienced Product Manager to scale the product efforts and technical strategy within our Financial Engineering team. The ideal candidate has prior experience in billing, finance, and accounting, ideally also building solutions for commercial users of varying sizes from small scale to enterprise. This role requires close collaboration with our product, finance, operations, and engineering teams. This position is based in San Francisco, CA. We utilize a hybrid work model with 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Develop a strategy and roadmap to efficiently scale the billing operations and customer experience behind OpenAI’s growing product portfolio Identify and execute opportunities to improve the order-to-cash processing for OpenAI’s largest and most strategic customers Build AI powered tooling for key partner teams such as Finance and User Operations to drive better decisions and business outcomes Collaborate with other product teams to defining OpenAI’s evolving monetization s

REMOTEartificial intelligenceaiaccounting
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OpenAI
📍 San Francisco• Full-time• Remote• $293K – $385K/yr
5mo ago

About the Team OpenAI’s Industrial Compute team is responsible for building and scaling large-scale compute capacity across first-party data centers, strategic partners, and industrial infrastructure environments. We focus on converting power, land, hardware, and operational execution into reliable compute capacity that can support frontier AI training and inference workloads. This team operates at the intersection of infrastructure delivery, hardware systems, utilities, supply chain, and capacity strategy—ensuring OpenAI can scale compute faster than traditional models allow. About the Role We are seeking a GPT Infrastructure Lead to drive the end-to-end conversion of industrial-scale infrastructure investments into usable token capacity for OpenAI workloads. In this role, you will own execution across complex compute programs where raw infrastructure capacity must be transformed into operational GPU throughput. You will coordinate across data center delivery, power, networking, hardware deployment, workload enablement, finance, and external partners to ensure capacity becomes productive tokens as quickly and efficiently as possible. This role is ideal for someone who can bridge physical infrastructure delivery with compute utilization outcomes. Success requires strong systems thinking, elite program leadership, and the ability to drive accountability across internal teams and strategic partners. In this role, you will Lead GPT Infrastructure programs across industrial compute environments, including first-party and partner-owned capacity. Convert delivered power, space, and hardware capacity into production-ready token throughput. Build integrated execution plans spanning construction, power energization, rack deployment, networking, cluster readiness, and workload onboarding. Partner with infrastructure engineering, hardware, networking, finance, supply chain, and operations teams. Drive external providers, EPCs, OEMs, utilities, and strategic partners toward agg

REMOTEartificial intelligenceaifinance
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About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As the first member of our Revenue Strategy & Operations team in Korea, you'll be instrumental in driving revenue growth by partnering with sales leadership to develop and execute Korea‑specific strategies. You will be the trusted advisor to our Korea Country Manager on how the business is planned and run — shaping how we win in Korea, from the country's largest enterprise groups to its fastest‑growing technology companies — while building the operational foundations to scale. Much of the work you will do yourself, hands‑on. This role suits a structured thinker who is comfortable with ambiguity: you will often start from an open question, turn it into clear analysis and a recommendation, and then bring people who don't report to you along to act on it. You'll work closely with Strategy & Operations peers in Japan, India, Australia and Singapore, with global Revenue Operations and Finance, and you'll use Claude every day to do the work of a much larger team. This is a senior individual‑contributor role with no direct reports initially. You'll report to the head of Revenue Strategy & Operations for Asia‑Pacific (based in Sydney), work day to day alongside the Korea Country Manager and sales team in Seoul, and travel occasionally within the region. Key responsibilities Go-to-Market Operations: Own annual and quarterly go‑to‑market planning for Korea — targets, territories and sales capacity — in partnership with Finance and sales leadership. Develop how we segment the market and design territories, from Korea's large enterprise groups (conglomerates and their affiliates) to mid‑sized enterprises and fast‑growin

aisalesforcefinance
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PG
6mo ago

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Role overview: We’re looking for a Business Systems Analyst to own the strategy roadmap and execution of large projects on Enterprise Services platform , with a strong focus on ServiceNow . This role sits at the intersection of business and technology, supporting functions such as HR, Finance, Facilities, Supply Chain & Operations, and Employee Services . You’ll act as a strategic thought partner and hands-on leader , driving enterprise-wide solutions across HR, IT, Facilities, Supply Chain & Operations and Employee Services. Delivering solutions that improve both user experience and operational efficiency across the enterprise. What you'll be doing: Partner with business and IT leaders to define and implement the ServiceNow roadmap, strategy, and priorities Translate complex, ambiguous business needs into scalable, user-centered solutions Lead end-to-end solution design across ServiceNow modules (e.g., ITSM, HRSD, SPM, WSD, App Engine, Now Assist ) Drive multi-functional initiatives, collaborating with engineering, architecture, and program teams Manage dependencies across systems and define enterprise integration strategies (e.g., Workday, SAP, Okta, Microsoft 365, Slack) Gu

aiSAPfinance
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The following description is not intended as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. Management retains the discretion of adding or changing the duties of the position at any time. Key Responsibilities Lead end-to-end project management for (Client) and other Tier-1 OEM customers, from project initiation through FATP ramp-up and mass production. Act as the primary customer interface, managing project timelines, deliverables, and communication to ensure alignment with client expectations. Collaborate with cross-functional teams (engineering, operations, supply chain, quality, procurement, and finance) to drive successful program execution. Manage project schedules, risks, and resource allocation to ensure on-time delivery and cost targets are met. Support contract negotiations and business terms with (Client) customers, ensuring alignment with company goals and profitability. Provide technical and business support during customer meetings, audits, and on-site visits. Drive NPI (New Product Introduction) readiness, FATP line setup, and factory ramp-up by coordinating between client teams and internal operations. Monitor material readiness, demand planning, and capacity to support business continuity and minimize production risks. Conduct regular project reviews with internal stakeholders and clients, escalating risks and driving corrective actions. Support business development initiatives by analyzing (Client)/OEM roadmaps, identifying growth opportunities, and contributing to proposals and pricing strategies. Benchmark industry practices and client requirements to optimize cost structure, quality, and efficiency across FATP programs. Build and maintain strong client relationships, serving as the liaison to ensure clear communication between client, internal teams, and contract manufacturers. Qualifications Bachelor’s degree in Business, Supply Chain Management, Engineering, or related field. 2+ years of exper

Excelproject managementfinance
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OpenAI
📍 San Francisco• Full-time• $257K – $335K/yr
7mo ago

About the Team The compute infrastructure team runs the GPU fleet and large-scale compute clusters that serve the models backing ChatGPT and the API, while also supporting training workloads for our next generation models. We operate a large, modern GPU fleet and provide a unified platform for other OpenAI teams to seamlessly run production Applied AI and Research training workloads. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth. About the Role You will be part of an engineer-first TPM team as a Technical Program Manager for Compute Infrastructure who owns the end-to-end delivery of large-scale GPU clusters, partnering with engineers to bring clusters online across external providers and partners. You’ll run a broad, parallel portfolio spanning hardware, networking, power, and cooling—driving execution, risk management, and crisp alignment from working teams through leadership to deliver production-ready capacity at scale. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Lead end-to-end delivery of both New Compute SKUs and large-scale GPU clusters across an external partner ecosystem while supporting capacity planning for training and inference. Ability to contextually drive multi-threaded bring-up programs spanning hardware, networking, power, and cooling—owning plans, dependencies, and critical paths. Interface with chip providers to derisk long-term onboarding to new hardware platforms by working across kernels, comms, hardware, and scheduling engineering teams. Build and operationalize program mechanisms (roadmaps, milestones, risk registers, runbooks) that make delivery predictable at massive scale. Partner with engineering to improve cluster turn-up reliability, repeatability, and automation

artificial intelligenceaifinance
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Stripe
📍 Seattle• Full-time• Remote
7mo ago

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The Marketing Strategy & Operations team is responsible for driving organizational effectiveness and leading transformational programs across Marketing, Self-serve, Startup and Sales Development. We create the processes and conditions that enable high performance across teams and help Stripe scale with focus and discipline. We partner closely with the CMO, Marketing and Sales Development leadership team to define strategy, lead operational planning, and steward execution across global programs. Our work spans cross-functional efforts that are critical to Stripe’s growth. From delivering strategic insights and frameworks to leading complex initiatives, we focus on what moves the needle most for the business. We care about results, not activity, and we have fun doing it. If you like hard problems, are analytical, and are an amazing teammate, we want to hear from you. What you'll do As the Campaign Strategy & Operations Manager, you'll own the operational foundation that powers Stripe's global demand engine — building the systems, processes, and workflows that enable our marketing teams to move faster and perform better at scale. You'll partner with the Global Campaigns, Demand, and Field Marketing teams to drive strategic planning, design operational processes such as budget management and resource planning, and collaborate across global, regional, and channel teams to execute the end-to-end campaign lifecycle. This is a high-vis

REMOTEaiproject managementfinance
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SA
8mo ago

Scale AI sits at the forefront of enabling machine learning for advanced robotics systems. As an Operations Program Manager focused on data creation for robotics models, you will design and execute the solutions, tools, and processes that power high-quality training data at scale. You’ll ensure precise, timely delivery of datasets that drive perception, manipulation, and autonomous decision-making in robotic platforms. With rapid growth, new customer onboarding, and continual product innovation, we face both strategic questions and hands-on operational challenges—your contributions will be key to solving them. You will be part of a highly motivated team of operators and collaborators who will ensure steady delivery and customer satisfaction. You are relentless in driving stellar results, running pilots, tests, and experiments, then handing over new designs to a team of skilled operators. The blend of operations, process improvement, and cross-functional leadership make this a unique and exciting role that will provide an opportunity to work with multiple teams (e.g., Engineering, Marketing, Operations, Analytics, and several others) across the company and around the globe. You will: Drive some of our most critical operational processes Improve existing processes and tools globally Collaborate with stakeholders to improve processes for new and existing customers Create an effective feedback loop between the frontline, product, strategy, and customers Build, maintain, and regularly communicate detailed reporting for other leaders across the company who will use your team's data to inform their own operations and strategy Ideally you'd have: Industry experience in supply chain, finance planning, in an operational role and/or in a top tier consulting firm An undergraduate degree from a top university in an analytics heavy major (e.g., Engineering or Economics) and/or a graduate degree from a top university in Engineering, Economics, or Business Experience leading day to

pythonsqlmachine learning
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About the Team Our New Verticals Strategy & Operations team is re-inventing the way consumers think about grocery, convenience, alcohol and retail delivery through both our first-party and third-party operations businesses. Our third-party operations business [internally known as 3P], enables both shopping and last mile delivery for third-party enterprise & SMB merchants we partner directly with. About the Role We are looking to hire a Manager for New Vertical Logistics, to own workstreams that will directly impact bottom line efficiency and the end-to-end dasher experience. You will own dasher efficiency metrics, build the strategy and execute to drive impact and hit your goals, and improve the Dasher experience to keep our fleet healthy. You will work directly with a wide range of cross-functional stakeholders across Finance, Product, Engineering, and Analytics. You will report to a Senior Manager within our Central Strategy & Operations team and manage a team of one. We operate in a hybrid model - you will spend some time in your home office, in person via offsites and testing your new products or features in 3P stores. You’re excited about this opportunity because you will… Build & Analyze. You’ll do whatever it takes to launch and ship new features to drive dasher efficiencies and improve the dasher experience — from writing complex SQL queries to drafting product requirements and supporting new feature launches. You’ll assess the operational and financial impacts of experiments, model tradeoffs, and iterate based on data. Scale. You’ll transform analytical insights into experiments that create measurable and scalable improvements in dasher efficiency. Experiment. You will identify variance drivers, develop hypotheses, and test model and product changes in partnership with Product, Engineering, and Analytics — including leveraging AI-enabled tools to uplevel the way we operate internally & externally. Collaborate. You’ll influence a cr

sqlaiExcel
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P
9mo ago

Summary We are seeking a highly motivated and detail-oriented Trader/Quant Analyst with a strong background in trading and data analysis to join our investment team. The ideal candidate will have at least 3 years of experience in convertible securities (or equity/FX/rates derivatives), relative value trading strategies, and quant data analysis. The role will combine active trading and risk management and quantitative analysis to identify and execute profitable opportunities in the convertible space. Role/Responsibilities: Identify relative value opportunities between convertible bonds, the underlying equity, and credit derivatives. Execute trades in convertible securities, related equities, and hedges in alignment with investment theses and risk parameters. Manage existing positions proactively, assessing changes in valuation, liquidity, and market sentiment. Conduct in-depth quant data analysis on the convertible bond universe, including historical pricing and valuation. Model and evaluate convertible securities across multiple scenarios, analyzing risks related to credit, interest rates, volatility, and equity sensitivity. Build front-office tools to analyze convert universe data for idea generation, trade optimization, and risk management. Coordinate with the portfolio manager and risk team to size positions appropriately and adhere to pre-defined risk limits. Track and analyze P&L drivers on a daily basis and provide attribution reports. Hedge exposures dynamically using equity, credit, and derivative instruments. Work closely with other analysts, traders, and portfolio managers across strategies to share insights and generate synergies. Maintain strong relationships with sell-side counterparties and market participants to source information and enhance trade execution. Requirements : Bachelor’s degree in finance, economics, mathematics, engineering, or related field; advanced degree or CFA preferred. 3+ years of experience in convertible bond trading with a

pythonExcelfinance
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O
Openfx
📍 U S Remote Or Miami• Remote
10mo ago

About Us OpenFX is on a mission to move money as freely as data, unrestricted by time zones, banking hours, or legacy systems. We are building the infrastructure that will power the next generation of cross-border payment systems for institutions. The team's execution has been exceptional, and we're scaling at a remarkable pace. Our stellar early team comes with experience in companies like J.P. Morgan, Goldman Sachs, FalconX, Paypal, Affirm, Polygon, Kraken, Nium & others. We’re backed by Accel, Lightspeed, NfX and other top-tier investors. Role Overview We're seeking an exceptional Legal Counsel to serve as a strategic partner and legal advisor across our business, with a particular focus on financial products and partnerships. This role combines the intellectual challenge of navigating cutting-edge financial technology with the opportunity to shape legal strategy in the early stages at a high-growth company. You'll work on some of the most complex and interesting problems at the intersection of cross-border payments, cryptocurrency, foreign exchange and technology—providing pragmatic, business-oriented counsel that enables rapid growth while managing risk effectively. The ideal candidate is a team player who is energized by a high-growth environment and translating complex legal requirements and legal ambiguity into clear, actionable strategies. You move quickly with sound judgment, and excel as a trusted senior advisor to product, engineering, compliance, and business teams. Key Responsibilities: Product Legal Advise product and engineering teams on the legal and regulatory aspects of product design, development, and launch, with a particular focus on payment and banking products Translate complex regulatory requirements into clear guidance that helps teams build compliant products while growing rapidly Regulatory & Licensing Strategy Partner closely with business teams and compliance to develop and execute licensing and market entry strategies across mu

REMOTEExcelproject managementfinance
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Company Overview Accordion is a global private equity-focused financial consulting firm specializing in driving value creation through services rooted in Data & Analytics and powered by technology. Accordion works at the intersection of Private Equity sponsors and portfolio companies’ management teams across every stage of the investment lifecycle. We provide hands-on, execution-oriented support, driving value through the office of the CFO by building data and analytics capabilities and identifying and implementing strategic work, rooted in data and analytics. Accordion is headquartered in New York City with 10 offices worldwide. Join us and make your mark on our company. Data & Analytics ( Accordion | Data & Analytics ) Accordion's Data & Analytics (D&A) practice in India delivers cutting-edge, intelligent solutions to a global clientele, leveraging a blend of domain knowledge, sophisticated technology tools, and deep analytics capabilities to tackle complex business challenges. We partner with Private Equity clients and their Portfolio Companies across diverse sectors, including Retail, CPG, Healthcare, Media & Entertainment, Technology, and Logistics. D&A team members deliver data and analytical solutions designed to streamline reporting capabilities and enhance business insights across vast and complex data sets ranging from Sales, Operations, Marketing, Pricing, Customer Strategies, and more. Working at Accordion in India means joining 800+ analytics, data science, finance, and technology experts in a high-growth, agile, and entrepreneurial environment to transform how portfolio companies drive value. It also means making your mark on Accordion’s future—by embracing a culture rooted in collaboration and a firm-wide commitment to building something great, together. Join us and experience a better way to work! Location : Hyderabad, Telangana Role Overview: Accordion is looking for an experienced Senior Director to lead the Gener

aiExcelfinance
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Company Overview Accordion works at the intersection of sponsors and management teams throughout every stage of the investment lifecycle, providing hands-on, execution-focused support to elevate data and analytics capabilities. So, what does it mean to work at Accordion? It means joining 1,000+ analytics, data science, finance & technology experts in a high-growth, agile, and entrepreneurial environment while transforming how portfolio companies drive value. It also means making your mark on Accordion’s future—by embracing a culture rooted in collaboration and a firm-wide commitment to building something great, together. Headquartered in New York City with 10 offices worldwide, Accordion invites you to join our journey. Data & Analytics (Accordion | Data & Analytics) Accordion's Data & Analytics (D&A) team delivers cutting-edge, intelligent solutions to a global clientele, leveraging a blend of domain knowledge, sophisticated technology tools, and deep analytics capabilities to tackle complex business challenges. We partner with Private Equity clients and their Portfolio Companies across diverse sectors, including Retail, CPG, Healthcare, Media & Entertainment, Technology, and Logistics. D&A team delivers data and analytical solutions designed to streamline reporting capabilities and enhance business insights across vast and complex data sets ranging from Sales, Operations, Marketing, Pricing, Customer Strategies, and more. Role Overview: As Manager - Data Science you will be leading one or more client projects to deliver various Advance Analytic solutions. (S)he would be working directly with the clients and guide the team in building a robust solution solving client’s business problem as per agreed timelines through application of business knowledge, project management and technical expertise. What You will do: We expect you to manage a team and work on complex, cross-functional analytical and research-oriented projects us

pythonmachine learningproject management
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