Strategic Insights And Analytics Director Jobs

About the Team The Intelligence and Investigations team seeks to rapidly detect and disrupt abuse in AI technologies to ensure their safe use. We are dedicated to identifying emerging abuse trends, analyzing risks, and working with our internal partners to implement effective mitigation strategies to protect against misuse. Our efforts contribute to OpenAI's overarching goal of developing AI that benefits all of humanity. About the Role As an Intelligence Systems Engineer, you’ll be focused on advancing our Intelligence & Investigations efforts at OpenAI, ensuring the safe and responsible use of AI across our products and services. We are seeking a self-starter to prototype, develop, and maintain new tools and processes that integrate OpenAI’s models and infrastructure to enable internal teams to make sense of large, open-domain datasets, fight abuse, and inform high-stakes decisions. You will be a crucial technical bridge between our data scientists and subject matter experts and technical teams like Platform Integrity, Safety Systems, and Research by leading the development of innovative tools and processes that bolster goals in scaled collections, investigations, and analysis. The ideal candidate has strong analytical and data skills, with a background in both prototyping and building scalable systems that can swiftly detect emerging threats, process vast amounts of information, and deliver insights to stakeholders. We value professionals with outstanding communication skills, a commitment to continuous learning, and who are dedicated to promoting the responsible use of AI. 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: Prototype, build, and maintain at-scale intelligence systems that detect, triage, and monitor targeted signals from both open-source and internal data Analyze requirements and deliver end-to-end solutions that address

WHO WE ARE: Zinnia is the leading technology platform for accelerating life and annuities growth. With innovative enterprise solutions and data insights, Zinnia simplifies the experience of buying, selling, and administering insurance products. All of which enables more people to protect their financial futures. Our success is driven by a commitment to three core values: be bold, team up, deliver value – and that we do. Zinnia has over $180 billion in assets under administration, serves 100+ carrier clients, 2500 distributors and partners, and over 2 million policyholders. WHO YOU ARE You are an experienced, client-focused consultant with a deep understanding of the life, annuity, and financial services industry. You thrive on solving complex business challenges and can confidently navigate the intersection of operations, technology, and business strategy. You have a proven ability to lead discovery and solution definition sessions, act as the voice of the customer, and ensure that client solutions align with both business objectives and enterprise delivery standards. You excel in translating between business and technical audiences, building trusted relationships, and driving solutions that deliver tangible results. WHAT YOU’LL DO Lead initial project scoping and analysis activities, including pricing exercises and impact assessments. Facilitate detailed Solution Definition meetings, ensuring all relevant stakeholders and materials are included to achieve a cohesive solution. Conduct solution planning sessions to align cross-functional teams and ensure clarity in delivery objectives. Leverage your knowledge of client implementations, operations, and Zinnia’s business offerings to ensure solutions are practical, aligned, and scalable. Act as the voice of the customer—translating business objectives into actionable Zinnia solutions that adhere to our IT and architectural frameworks. Identify opportunities for process improvement, inn

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft is seeking a Senior Analyst to join our Business Forecast & Planning team within Customer Care Operations. This role sits at the center of forecasting and capacity strategy for our global support organization, translating complex operational and business signals into clear, actionable plans. You'll partner closely with operations leadership to keep resourcing aligned with the business, separating what truly matters from the noise, and helping shape decisions that affect how we staff and scale support. Responsibilities: Support the development and upkeep of the models and frameworks that connect business drivers to staffing and resourcing decisions Translate large, complex, and sometimes ambiguous data into clear, actionable insights that support leadership recommendations Own day-to-day planning execution, from dashboards maintenance and reporting to business reviews, with a sharp focus on accuracy and the details that matter Leverage AI tools to build and maintain dashboards, reports, and analyses that support the team's recommendations and insights Identify and help drive opportunities to improve how the team plans and operates Move quickly on ambiguous, time-sensitive requests, using modern tools to work smarter and faster Experience: 2+ years in planning, forecasting, capacity/resource management, or a related analytical role; consulting, investment banking, FP&A, or ops strategy backgrounds also fit well Sharp analytical mindset with hands-on SQL and Python skills AI fluency, comfortable using AI tools to accelerate analysis and problem-solving Strong business acumen paired with genuine curiosity about how large, complex business systems work; fast learner with a bias towards action, comfortable building context quickly across new systems and stakeholders Self-directed, with a track

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft is seeking an Analyst to join our Business Forecast & Planning team within Customer Care Operations. This role owns the forecasting, capacity, and scheduling models that keep our global support workforce sized and staffed correctly. You'll work hands-on with our BPO partners to translate demand signals into staffing plans, and bring deep contact centre planning expertise to a team managing support at scale across multiple sites and geographies. Responsibilities: Support the development and upkeep of the models and frameworks that connect business drivers to staffing and resourcing decisions Translate large, complex, and sometimes ambiguous data into clear, actionable insights that support leadership recommendations Own day-to-day planning execution, from dashboards maintenance and reporting to business reviews, with a sharp focus on accuracy and the details that matter Leverage AI tools to build and maintain dashboards, reports, and analyses that support the team's recommendations and insights Identify and help drive opportunities to improve how the team plans and operates Move quickly on ambiguous, time-sensitive requests, using modern tools to work smarter and faster Experience: 2+ years in planning, forecasting, capacity/resource management, or a related analytical role; consulting, investment banking, FP&A, or ops strategy backgrounds also fit well Sharp analytical mindset with hands-on SQL and Python skills AI fluency, comfortable using AI tools to accelerate analysis and problem-solving Strong business acumen paired with genuine curiosity about how large, complex business systems work; fast learner with a bias towards action, comfortable building context quickly across new systems and stakeholders Self-directed, with a track record of turning data into real decisions; strong commun

Datadog is looking for a data-driven Associate Growth Marketing Manager to own the day-to-day execution, strategy, and optimization of our paid LinkedIn campaigns. In this role, you’ll be responsible for scaling LinkedIn ads that drive measurable results across global markets, with a strong focus on efficiency. This is an exciting opportunity for someone who combines analytical rigor with creative instincts, thrives in a performance-driven environment, and wants to deepen their expertise in paid media within a high-growth B2B company. At Datadog, we place value in our office culture - the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Manage campaign setup, budget allocation, and pacing, making data-informed decisions to drive high-quality, efficient leads and strong downstream performance Own campaign performance reporting and analysis Collaborate cross-functionally to promote products, webinars, events, and content across regions on LinkedIn and other digital channels (e.g., Reddit, Meta) Continuously test new audiences, bid strategies, messaging, creative, and landing pages to increase learning velocity and performance over time Who You Are: 2+ years of hands-on, in-platform experience managing LinkedIn Ads 3+ years working in marketing, ideally in a B2B or high-growth tech environment Comfortable manipulating and analyzing large datasets in Excel/Sheets, identifying trends, and translating insights into clear recommendations Experience with A/B testing, landing page optimization, and creative iteration Strong written and presentation skills, with the ability to clearly explain analyses and recommendations to stakeholders via PowerPoint/Slides Curious, proactive, and motivated by driving results Datadog values people from all walks of life. We understand not everyone will meet all the above qualificatio

Senior Malware Analyst (Media, Malware, and Analysis – MMA) US CITIZEN ONLY Job Type Full-time Location Annopolis Junction, MD Clearance Requirement TS/SCI with CI polygraph Position Description The Senior Malware Analyst provides advanced technical expertise in malware analysis, digital forensics, and cyber threat intelligence in support of USCYBERCOM cyberspace operations. This role directly supports operations across USCYBERCOM J3, Cyber National Mission Force (CNMF), and Joint Task Force-Ares (JTF-ARES), delivering critical insights into adversary tactics, techniques, and procedures (TTPs) targeting the Department of Defense Information Network (DODIN) and associated mission systems. The analyst performs deep technical analysis of malicious code, compromised systems, and digital media to identify threats, develop mitigation strategies, and enhance operational situational awareness. This position contributes to mission assurance, defensive cyberspace operations (DCO), and offensive cyberspace operations (OCO) by enabling timely, actionable intelligence and supporting enterprise cyber defense and exploitation capabilities. Key Responsibilities Conduct static and dynamic malware analysis , reverse engineering, and forensic examination of compromised systems and digital media to identify adversary TTPs and intrusion artifacts. Perform media exploitation and forensic analysis , including extraction and analysis of malicious files, logs, and system artifacts across Windows, UNIX/Linux, and network environments. Develop and disseminate technical intelligence reports, threat briefs, and executive summaries to support operational decision-making and leadership awareness. Identify and develop indicators of compromise (IOCs) , signatures, heuristics, and MD5 hash repositories to support detection and mitigation strategies. Analyze and correlate cyber threat intelligence (all-source, SIGINT, and technical data) to identify patterns, anomalies, and emerging thr

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role Robinhood's Corporate Finance team sits at the center of how the company plans, decides, and grows. We partner directly with senior leadership to shape financial strategy, and we're looking for a Corporate Finance Manager to help us do that work at a higher level. In this role, you'll be a key voice in company-wide financial planning — translating complex data into clear insights, driving the processes that keep Robinhood's business running efficiently, and building the infrastructure that scales with us. This is a high-visibility, individual contributor role where your analysis and recommendations will directly influence how leadership understands and acts on the business. What you’ll do Playing a key role in our recurring FP&A processes, including forecasting, monthly analyses, budgeting, financial system oversight, and management reporting Synthesizing / distilling key financial and business insights for leadership - analyzing results, business KPIs, assessing risk, and communicating timely risks & opportunities. Developing and executing on company-wide annual planning processes, financial forecasts, and ongoing analysis of variances. Identifying and implementing process improvements and cost efficiency measures across the company Being a thought leader to improve and simplify processes, drive standardization, and build scalable solutions to support the next wave of Robinhood’s growth. Designing and building the financial infrastructure to automate and support our business and operations What you bring A Bachelor’s Degree in a relevant field of study 1-3 years of relevant experience in financial pl

About Prophecy The leader in AI-native data preparation and analysis, Prophecy is revolutionizing how the world’s top enterprises turn data chaos into reliable insights. We introduce the AI-native data lifecycle (generate, refine, deploy) where our industry leading AI agents and humans work hand-in-hand in visual and document interfaces to analyze, transform and prepare data, to ship trusted insights at enterprise scale. Don’t miss the rocket ship—join Prophecy and build the next data revolution. Position Summary This is a high-impact opportunity to be a senior DevOps engineer in a fast-growing startup, based in Prophecy’s India engineering center. You will own and evolve the foundations that keep our engineering org fast, secure, and cost-efficient at scale — spanning cloud cost management, security DevOps, and CI/CD and engineering operations. You will work with a team of dynamic engineers who take pride in solving complex problems, and you will have the autonomy to set direction in your areas of ownership. The Impact You Will Have Cloud cost (FinOps) Own and evolve our cloud cost optimization program across AWS, Azure, GCP, Databricks, Snowflake and Bigquery building on the programmatic monitoring and controls Analyze billing, asset-inventory, and utilization data across departments to identify wasteful spend and provide actionable insights to optimize it. Develop and maintain cost optimization strategies, roadmaps, and forecasting models Partner with engineering teams to design cost-efficient architectures without compromising scalability or reliability. Build and maintain automation for infrastructure provisioning, scaling, and cost control. Security DevOps Partner with engineering and security to drive our security-hardening program across workstreams such as identity & access governance, secrets & credential lifecycle, cloud access, and CI/CD hardening. Implement and automate guardrails: secrets management, least-privilege access, cr

NVIDIA is seeking a creative and analytical Capacity Planner to join our Operations team and drive the scaling of our Boards & Systems manufacturing across all business units. In this cross-functional role, you will lead the weekly planning cycle, collaborate with Operations, Manufacturing, Supply Chain, Engineering, Finance, and Business Units, and leverage advanced analytical models to resolve capacity constraints, rationalize capital investments, and drive execution strategies for senior management. What You'll Be Doing Run the weekly capacity planning cycle for Boards & Systems, including forecast ingestion, supply planning alignment, Contract Manufacturer (CM) and testing reviews, and preparation of planning outputs. Consolidate and validate core planning inputs (18-month forecasts, NPI consumption, SKU mappings, CM commits, yield data) across enterprise applications like Anaplan. Analyze required versus available capacity, identify bottlenecks, and perform scenario analysis using data models to drive risk mitigation strategies. Lead capital investment, decisions based on capacity requirements, rationalize forecast changes, and optimize volume loading across CMs to meet target supply and revenue goals. Coordinate workflows across Supply Planning, Business Units, Contract Manufacturers, Production Planning, Purchasing, Manufacturing/Test Engineering, Finance, and NPI in a multi-program platform environment. Partner with IT teams to integrate planning models with enterprise systems, establishing standardized workflows, data pipelines, and toolsets. Present clear, data-driven execution plans, operational risk insights, and mitigation strategies to senior management. Align with cross-regional teams (US, Israel, APAC) to maintain seamless operational execution and standardized planning frameworks. What We Need to See 5+ years

Quantitative Researcher Every trading strategy begins with a question worth answering. At Graviton, we believe the best trading strategies don't come from following established playbooks. They come from asking better questions. Why does a pattern exist? What is driving it? Is it real or just noise? Can it be explained, modelled and turned into an edge? As a Quantitative Researcher , you'll work on these questions every day. You'll investigate market behaviour, develop quantitative models, build and test hypotheses and turn insights into trading strategies. You'll work alongside quantitative researchers and technologists in an environment where research moves quickly from an idea on a whiteboard to something that can influence live trading. The problems are open-ended. The data is enormous. The answers aren't in a textbook. You'll be expected to find them. What You'll Work On You'll work across different areas of quantitative research and systematic trading. Depending on your team and research interests, your work may include: Discovering predictive patterns and sources of alpha from billions of market events . Formulating hypotheses about market behaviour and designing experiments to test them. Applying probability, statistics, optimization and machine learning to complex research problems. Building predictive models and quantitative signals for systematic trading. Developing and improving research infrastructure that enables faster experimentation and deeper analysis. Working with large and complex datasets to uncover patterns that aren't immediately visible. Designing robust backtests and statistical tests to distinguish genuine signals from noise. Investigating market microstructure and understanding how markets behave at different timescales. Evaluating strategy performance, identifying weaknesses and continuously refining models. Working closely with technologists to translate research ideas into efficient, production-ready systems. Building AI-powered r

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, Singapore and São Paulo. The Role As a Historical Data Conversion Project Manager, you will serve as the essential link between our technical Data Solution Consultants (DSCs) and the client’s business stakeholders. While DSCs focus on the technical execution of data migration and complex analysis, your role is to translate that work into a clear narrative for the client while relaying client requirements back to the internal team. You will leverage a strong understanding of HDC processes, investment data, and technical frameworks to comfortably bridge the gap between technical execution and client expectations. By working side-by-side with the DSCs to identify data remediation strategies, you will translate technical requirements into actionable directives for the client and proactively secure necessary inputs. This role is for a subject matter expert who can navigate technical language and investment complexities to drive project progress and maintain high-impact communication regarding status, gaps, and timelines. You’ll also be among the first members of the Data Solutions team based in India, helping establish our presence in the region while working closely with colleagues across the U.S., U.K., and other global offices. This is a collaborative role offering the

Datadog’s Revenue Operations & Finance team continues to expand as we work continuously to improve and solve complex business problems. The Sales Revenue team supports Datadog’s rapid growth by collaborating with teams across the organization, providing commercial, operational, and analytical support to ensure that Datadog's business and Sales organization continues to grow as rapidly and efficiently as possible. In this role, you will gain hands-on experience managing commission processes at scale while collaborating cross-functionally with Finance, Sales, Strategy, and Operations. This is an excellent opportunity for anyone seeking high visibility, meaningful ownership, and a clear path for growth within a fast-paced SaaS environment. We are looking for a Sales Revenue Analyst to join us in Boston, MA to support our team in managing global sales team compensation calculations and new business revenue recognition. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Own the monthly sales commission process across multiple sales segments, ensuring accuracy, timeliness, and operational excellence Improve day-to-day operations by identifying process gaps, fixing inefficiencies, and building practical tracking for new initiatives as the business grows Analyze compensation results to identify trends, surface risks, and provide actionable insights to leadership Review deal structures and financial terms to ensure alignment with compensation policies and revenue recognition requirements Partner cross-functionally with Finance, Sales, Systems and Strategy to support compensation plan execution and business initiatives Maintain and optimize compensation systems, reporting and dashboarding by leveraging tools such as Salesforce and CaptivateIQ to ele

The observability market is shifting from surfacing data to delivering answers. MongoDB is looking for a Staff Product Manager to lead that shift for database users, owning the strategy that takes customers from raw telemetry to AI-powered diagnostics and autonomous remediation, so developers can focus on building great applications instead of managing infrastructure. You will define how MongoDB turns raw telemetry into actionable intelligence, set the vision for AI-powered root cause analysis and proactive recommendations, and shape what best-in-class database observability looks like at global scale. The ideal candidate has experience shipping products that deal with data at scale, can engage deeply with senior engineering on technical architecture, and knows how to balance long-term platform investment against near-term customer value. We are looking to speak to candidates who are based in Dublin for our hybrid working model. What you'll do Define the vision, strategy, and multi-year roadmap for MongoDB observability, balancing the needs of developers, ops teams, enterprise customers, and internal engineering teams Help shape the next generation of AI-powered and agentic observability, including intelligent anomaly detection, automated root cause analysis, and proactive recommendations that help customers resolve issues before they escalate Own product strategy for experiences that span database health, performance diagnostics, alerting, log analysis, and data visualization, creating a coherent observability journey rather than a collection of disconnected tools Identify high-impact opportunities across the observability stack, from how customers monitor and understand their deployments to how MongoDB can reduce the operational burden of managing a database fleet at scale Lead customer discovery with developers, DBAs, and enterprise teams; turn qualitative and quantitative insights into clear product decisions that reduce time spent managing the database and incr

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the Role We're seeking a Senior Product Manager with exceptional product sense to drive the user experience vision for tools at Replit. You'll focus on understanding developer and non-developer needs, designing intuitive AI interactions, and creating delightful experiences that that make coding accessible to everyone. You Will: Define and execute the user experience vision for AI-driven software creation Conduct deep user research to understand developer pain points and workflow needs Design AI-powered features that feel intuitive and magical to users of all skill levels Own user journey optimization from onboarding through advanced AI-assisted development Drive product strategy based on user feedback, market research, and competitive analysis Partner with design teams to create compelling AI interaction patterns and interfaces Who You Are: Obsessed with creating exceptional user experiences and have a track record of building beloved products Deeply empathetic towards developer pain points and make it a point to put yourself in users' shoes Strong at qualitative and quantitative analysis, turning user insights into actionable product decisions Excellent at storytelling and can articulate compelling user narratives and product visions Biased towards execution and learning through rapid iteration and user feedback Required Skills & Experience: 5+ years of product management experience with a track record of building exceptional user experiences Strong product sense and intuition for what makes great developer tools and experiences Experience conducting user research and translating insights into product strategy Deep intuition about AI trends and products, particularly in automation and natural language interf

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 Risk Data Science team builds the data foundations, models, and measurement frameworks that power Stripe's risk and product decisions — from underwriting and reserves to merchant interventions and enablements. We're at an inflection point: as Stripe increasingly offers risk capabilities as a product to platforms and users, we need a data leader to shape how we build, measure, and evolve our risk data strategy across the What you’ll do We are looking for an experienced data analyst to drive the data strategy for our risk as a product offering. Define the metrics, data products, and analytical frameworks needed as Stripe brings risk capabilities to platforms and connected accounts at scale. Partner with Product, Engineering, and Risk leadership to ensure data investments align with the product roadmap. You will design metrics, pipelines, and data products that serve as the analytical backbone for risk decisioning. You will own the definition, reliability, and visibility of our most important risk metrics. Establish a canonical set of north star and operational metrics and ensure they are trustworthy, well-documented, and consistently surfaced to the right audiences. Build and maintain the infrastructure that keeps these metrics accurate as our data and product landscape evolves, including clear ownership, alerting on regressions, and scalable pipelines that reduce the cost of keeping insights current. You will also own and evolve Str