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Lead Data Implementation Specialist Jobs

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Talkdesk
📍 Remote• Remote• $123K – $205K/yr
4mo ago

As a Senior Solutions Consultant - HLS within Talkdesk's Professional Services (PS) organization, you will provide a white-glove experience and drive the implementation of cutting-edge CXA and CCaaS solutions for healthcare and life sciences customers that align with strategic objectives and support excellence during implementation. Primary Responsibilities Lead strategic implementations of CXA and CCaaS solutions with new and existing customers that meet customer use cases, leveraging industry knowledge, product expertise, and best practices. As a billable resource, you will serve as the primary technical resource for clients during projects, focused on the design, development, and deployment of integrations with major EHR/EMR systems, with an emphasis on Epic. Develop and troubleshoot complex workflows and data exchange processes (e.g., HL7, FHIR). Ensure integrations are secure, reliable, and aligned with industry and regulatory standards. Act as an internal Subject Matter Expert (SME) for Epic and other systems like EHRs (e.g. Cerner, Athenahealth)Develop reusable assets, best practice documentation, and knowledge base content to scale integration delivery.Mentor and train Professional Services and cross-functional teams to enhance integration expertise across the organization. Provide guidance and hands-on support to internal teams, external partners, and customers during the Implementation of Talkdesk CXA and CCaaS products, ensuring technical alignment and project success. Collaborate with internal teams (e.g., Product, Support) to address feature requests, resolve issues, and deliver updates that align with customer needs. Contribute to the ongoing development of CXA specific templates, playbooks, and best practices to streamline deployment and ensure consistent implementation quality. Act as a trusted advisor to stakeholders, building relationships with executives and providing long-term guidance on CXA strategy an

REMOTEjavascriptpythonsql
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Principal AI Research Scientist, Research Director - AI Scaling P-1227 About Databricks AI At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development, by building and running the world’s best data and AI platform. The Databricks AI Research organization enables companies to develop AI models and agents using their own data, with technologies ranging from post-training open source LLMs to developing advanced multi-agent architectures. Databricks AI is committed to the belief that a company’s AI models and agents are just as valuable as any other core IP, and that high-quality AI should be available to all. About the Scaling Research Team The Databricks AI Scaling team focuses on pushing the boundaries of large language model (LLM) training and inference efficiency beyond what is required to support existing models. The team explores novel avenues for scaling and efficiency improvements across algorithms, systems, and infrastructure, requiring researchers who can both drive independent research agendas and dive deep into low‑level implementation details with engineering partners. Role Summary As a Principal Research Scientist – AI Scaling, you will lead a team of world‑class researchers and engineers to advance the state of the art in large‑scale machine learning, focusing on post-training, RL and inference efficiency, optimization, and scaling. You will define and execute a research roadmap that advances the Databricks AI platform and delivers tangible improvements to how customers train, serve, and adapt LLMs at scale, working closely with product, data, and engineering leaders to bring cutting‑edge methods into production. The Impact You Will Have Lead and grow a multidisciplinary research team focused on foundational and applied AI problems, with a particular emphasis on LLM scaling, efficiency, and systems performance. Define the scaling research roadmap in alignment wi

pythonmachine learningai
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CSQ327R29 The Senior Engagement Manager is a trusted advisor within the Forward Deployed Engineering organization to account teams and customers in Latin America (LATAM) for successful implementation and value realization. You will independently lead large, complex, cross-functional programs with minimal oversight, navigating ambiguous scenarios to drive significant impact on your assigned accounts. The impact you will have: Strategic Leadership: Independently scope and lead large, complex initiatives with multiple workstreams and diverse stakeholders. Advanced Selling: Drive the full-cycle sales of standard and customized Professional Services & Training (PS&T) programs, pulling in best practices for Centers of Excellence (CoEs) and migrations. Account Growth: Identify and pursue upsell and cross-sell opportunities within existing customers to meet or exceed revenue targets. Cross-Functional Alignment: Partner with Sales and GTM teams to prioritize regional PS&T targets aligned with growth goals. Customer Sentiment: Proactively monitor customer sentiment and take corrective actions or escalate to ensure high satisfaction. What we look for: 7-10 years running a Professional Services line of business. 10+ years in senior customer-facing roles with a mix of influencing and execution. Deep understanding of PS&T offerings, including Partner funding programs (Microsoft, AWS, Google). Strong knowledge of Databricks architecture, competitors, and migration benefits. Proven track record of managing large-scale program plans and service delivery. Ability to travel up to 25-50% as required. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databrick

REMOTEawsaiExcel
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At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. About Dynamic Tables Dynamic Tables (DTs) are Snowflake's declarative streaming transformation primitive. Customers define a SQL query and a freshness target; Snowflake handles the rest: orchestrating refreshes, maintaining snapshot consistency across a DAG of dependencies, and automatically incrementalizing the computation so that cost scales with what changed. Dynamic Tables is one of the fastest growing products at Snowflake and is a core part of Snowflake’s Data Engineering strategy. The Dynamic Tables performance team is responsible for making incremental refresh fast, predictable, and cost-efficient across increasingly complex query shapes. As a Staff Engineer on this team, you will own the technical direction for critical performance initiatives and be a force multiplier for the engineers around you. What You'll Do Lead the design and implementation of performance improvements to the incremental view maintenance engine, including multi-join incrementalization, novel incrementalization semantics, incremental window functions, and stacked operations. Help define the roadmap for the incremental view maintenance engine, identifying key performance, scalability, and correctness milestones, prioritizing high-impact enhancements, and aligning technical investments with prod

javasqlrest
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FEQ327R157 As a Field Engineering Manager, you will lead a team of technical pre-sales Solutions Architects and Solutions Engineers across the Qatar & Africa markets. Your experience partnering with the sales organisation will help drive revenue with the right approach whilst coaching sales and pre-sales teams to work together. You will guide and get involved to enhance your team's effectiveness; be an expert at communicating complex, business value-focused solutions, support complex sales cycles, and build relationships with important partners in large corporations. The impact you will have: Hire, mentor and grow the pre-sales team for the Qatar & Africa markets Build a motivated collaborative culture within a hyper-growth team to embody and promote Databricks customer-obsessed, teamwork and diverse culture Support increased return on investment of SA involvement in sales cycles Ensure a solution and value-based selling within the field-engineering organization Display an understanding of needs and revenue potential for accounts in the assigned region Engage with key customer executives to build and strengthen strategic partnerships Ensure close alignment with partners and internal services to secure implementation strategies within accounts Continue to build Databricks' brand as a member of the Leadership team in partnership with Marketing and Sales teams across the region What we look for: Experience managing a team of successful Big Data, Cloud, or SaaS professionals Experience in consumption based business environments Have experience mentoring and scaling technical teams Success in instituting processes for technical field members to lead efficiency and product focus Ability to partner and collaborate with Sales and other cross-functional leaders Passionate about data and AI market and Cloud software models and being able to deliver a strong POV on the value of Databricks solutions Technical or consulting background either in Data Engineering, Da

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MongoDB
📍 Austin• $112K – $220K/yr
6mo ago

About the Role MongoDB is looking for a technical people-first, and execution-obsessed leader to lead the Recruiting Operations team. As the operational backbone of Talent Acquisition, the RecOps team establishes and maintains the foundational infrastructure that makes scalable, high-velocity hiring possible. As a Senior Manager of Recruiting Operations, you are the visionary leader responsible for partnering with key stakeholders to build these crucial operational frameworks. You will drive the overarching vision, strategy, and execution across three core areas: process optimization and operational rigor, RecTech modernization and tooling strategy, and predictive talent intelligence and trusted data architecture. By establishing this infrastructure, you will empower TA to consistently find, interview, and achieve the best possible hiring outcomes for the organization. This leadership role demands an exceptional individual with strong technical aptitude, deep data and insights experience, and a proven track record of workflow redesign. You will empower your team to continuously refine the systems, tools, and processes used to support recruiting and hiring teams, ultimately ensuring a scalable and successful hiring environment. What You'll Do Lead the RecOps Team: Drive the vision and strategy for the CoreOps team, aligning your roadmap with overall Talent Acquisition (TA) and business goals. You will take full ownership of the three core sub-pillars, taking an innovative and bold approach to identifying and executing large-scale transformation initiatives Own the TA Tooling Roadmap & RecTech Modernization: In partnership with HR Tech, establish and oversee the TA technology stack and vendor relationships. You will actively manage the TA tooling roadmap with our Recruiting Product Manager, leading the discovery, implementation, onboarding, offboarding, and systematic, data-focused evaluation of tools. This includes hands-on experimentation with automations

mongodbawsazure
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FEQ227R207 As a Field Engineering Manager, you will lead a talented team of technical pre-sales Solutions Architects and Solutions Engineers based in France. You’ll play a key leadership role at the intersection of technology and business, helping our teams design value-based solutions and drive growth through effective collaboration with Sales. You’ll coach your team to communicate complex ideas clearly, support strategic sales cycles, and build strong partnerships with customers and stakeholders across large organisations. The impact you will have: Lead, mentor, and develop a high-performing pre-sales team in France. Foster an inclusive and collaborative culture that reflects Databricks’ values of customer obsession, teamwork, and diversity. Partner with Sales to drive growth through solution- and value-based selling. Enhance team effectiveness by establishing best practices that improve efficiency and focus on business impact. Build trusted relationships with customer executives and strategic partners. Collaborate across teams—including Marketing, Sales, and Services—to ensure seamless implementation and customer success. Represent Databricks as part of the regional leadership team and contribute to building our brand and presence in the market. What we look for: Proven experience managing technical teams in Big Data, Cloud, or SaaS environments. A track record of leading, mentoring, and scaling pre-sales or technical field organisations. Understanding of consumption-based business models. Ability to collaborate effectively with Sales and other cross-functional leaders. Strong communication and interpersonal skills—fluent in English and native-level French. Technical background in Data Engineering, Databases, or Data Science (consulting experience is a plus). Passion for data, AI, and cloud technologies and the ability to articulate their business value clearly. Note: Location for the role is in Paris (i.e. within commutable distance). #LI-hybrid About Databricks

Scale’s rapidly growing International Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for custom LLMs Upskilling and advisory services to spread the impact of AI As a Full Stack Software Engineer (Forward Deployed), you’ll collaborate directly with public sector counterparts to quickly build full-stack, AI applications, to solve their most pressing challenges and achieve meaningful impact for citizens. At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you. You will: Serve as the lead technical strategist for public sector engagements, converting ambiguous mission requirements into robust architectural roadmaps and guiding onsite implementation Architect the fundamental frameworks for production-grade AI applications, setting the gold standard for how interactive UIs, backend systems, and AI models are integrated at scale to deliver reliable outcomes. Guide the evolution of cloud infrastructure, ensuring security, global scalability, and long-term system integrity across all environments. Direct the development of core platforms and shared services, ensuring they solve cross-cutting needs for diverse global client use cases. Partner with cross-functional leadership to steer the technical roadmap, mentoring senior and junior staff and ensuring all products align with a cohesive, future-proof technical architecture. Bridge the gap between the field and the core platform by turning real-world client lessons into the reusable patterns that power the entire engineering team. Ideally you’d have: Masters or Phd in Computer Science or eq

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Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for custom LLMs Upskilling and advisory services to spread the impact of AI As a Full Stack Software Engineer (Forward Deployed), you’ll collaborate directly with public sector counterparts to quickly build full-stack, AI applications, to solve their most pressing challenges and achieve meaningful impact for citizens. At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you. You will: Serve as the lead technical strategist for public sector engagements, converting ambiguous mission requirements into robust architectural roadmaps and guiding onsite implementation. Architect the fundamental frameworks for production-grade AI applications, setting the gold standard for how interactive UIs, backend systems, and AI models are integrated at scale to deliver reliable outcomes. Guide the evolution of cloud infrastructure, ensuring security, global scalability, and long-term system integrity across all environments. Direct the development of core platforms and shared services, ensuring they solve cross-cutting needs for diverse global client use cases. Partner with cross-functional leadership to steer the technical roadmap, mentoring senior and junior staff and ensuring all products align with a cohesive, future-proof technical architecture. Bridge the gap between the field and the core platform by turning real-world client lessons into the reusable patterns that power the entire engineering team. Ideally you’d have: Masters or Phd in Computer Science or equivale

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7mo ago

As a Senior NetSuite Consultant at Plative, you will act as a Subject Matter Expert for our growing Field Service Management (FSM) and Manufacturing practice. This is a high-impact, client-facing role designed for a "Consultative Leader," someone who doesn't just apply configurations but actively challenges and advises clients on best practices in logistics and warehouse operations. You will own the project lifecycle from discovery and design, to configuration and UAT. Leading complex FSM implementations and ensuring that complex business processes are translated into scalable NetSuite solutions. Responsibilities: Lead client discovery sessions to map manufacturing and distribution business requirements to NetSuite best practice. Manage and deliver complex NetSuite implementation projects, including solution design and project management. Identify and communicate project limitations, shortcomings, and issues early on, working closely with senior consultants and architects to address and mitigate risks. Execute end-to-end configuration, including complex business logic, custom fields, and workflows. Act as a subject matter expert for manufacturing processes (e.g., Shop Floor, Control, BOM management), distribution workflows (e.g., Pick/Pack/Ship, Demand Planning). Act as a subject matter expert on NetSuite Field Service Management (FSM), designing automated preventive maintenance schedules, warranty tracking workflows, and smart dispatching boards. Guide clients on industry-leading practices for cost accounting, landed costs, preventive maintenance, WIP & Routing, Demand Planning and inventory valuation. Design and lead internal QA and guide client User Acceptance Testing (UAT) to validate system stability and data integrity. Delegate tasks to analysts and guide their development to ensure high-quality project deliverables. Proactively identify and mitigate project risks related to scope, budget, or technical constraints with the project management team. Raise de

agileaigo
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The Senior Integration Developer plays a critical role in leading complex and multidisciplinary iPaaS integration projects. In this role, you will partner with our consulting team to design, implement, and deploy data-centric solutions for clients across multiple industries and platforms. This position requires deep expertise in MuleSoft Anypoint and integration architecture, along with the ability to lead solution design discussions, guide project execution, and mentor junior developers. As a senior technical contributor, you will take ownership of complex integration solutions, facilitate technical discovery with clients, and ensure scalable, maintainable integration architectures. You will act as a trusted technical advisor to both internal teams and client stakeholders while driving best practices in integration design, development, and delivery. Responsibilities: Lead the design, development, and implementation of complex integration and API solutions using MuleSoft Anypoint Platform. Translate business requirements into scalable technical integration architectures and implementation strategies. Facilitate discovery sessions and technical workshops with clients to understand system landscapes, integration requirements, and data flows. Own complex integration solutions from design through deployment, ensuring high performance, scalability, and maintainability. Develop and implement integration patterns, APIs, middleware components, and orchestration logic using MuleSoft Anypoint middleware. Analyze source system data and conduct data mapping exercises to support migration and integration initiatives. Design and implement both real-time and batch integrations across cloud and enterprise systems. Lead development of custom code and complex functionality using MuleSoft, DataWeave, and supporting technologies. Develop best practices, reusable integration components, and design patterns for interfaces, APIs, rule engines, and middleware. Drive complex technical desig

javasqlai
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SA
8mo ago

The goal of a Staff Machine Learning Engineer at Scale is to lead the design and deployment of agentic AI systems that operate in real-world, mission-critical government environments. On the Public Sector team, you’ll work at the intersection of agentic ML, systems engineering, and applied research, building foundational infrastructure that enables AI systems to reason, plan, and act reliably at national scale. Our Public Sector ML Team partners directly with U.S. defense and intelligence agencies to deploy AI into classified and regulated environments. Through flagship programs like Donovan and Thunderforge , we are advancing the next generation of agentic AI for geospatial reasoning, planning, and decision support. Staff Machine Learning Engineers play a central role in setting technical direction, owning core architectures, and translating ambitious ideas into production systems trusted by government operators. You will: Lead the architecture and implementation of agentic AI systems, with a focus on long-horizon reasoning, orchestration, and system-level reliability. Build and scale agents that perform complex geospatial reasoning, including interpreting, generating, and reasoning over maps and spatial data. Design and improve retrieval systems across large collections of static and semi-structured documents, enabling agents to surface high-signal context efficiently. Fine-tune and evaluate embedding models to improve recall and precision for mission-critical datasets. Design memory systems that allow agents to persist state, operate over long contexts, and learn from prior interactions. Own and evolve shared agentic infrastructure and core libraries, enabling reuse across teams, products, and Public Sector contracts. Define evaluation strategies for agentic systems, including robustness testing, failure-mode analysis, and regression testing in production environments. Partner closely with engineering managers, product leaders, and researchers to scope high-impac

pythonmachine learningai
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Databricks
📍 Atlanta• Remote• $219.1K – $301.3K/yr
12mo ago

P-256 We are looking for experienced pre-sales professionals with a proven track record of helping large enterprises become more data-driven. Working with the Account Executive (AE), the Retail and CPG Sr. SA defines and directs the technical strategy for our largest and most important accounts, leading to more widespread use of our products and wider and deeper adoption of ML & AI. You will lean upon your solid background in value selling, technical account management, and technical leadership to maximize success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks' products, you need to be technical and must understand the relevance and application of ML & AI within a range of use cases important to the target accounts in the Retail and CPG space. The impact you will have: You will work with 1-5 clients as the main technical voice for Databricks You will lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy You will implement the technical strategy in the account, with a close understanding of the strategy Build a movement of technical champions within the account Align technical strategies around Databricks solutions You will provide structured mentorship for other team members What we look for: 8+ years of experience working in very large (> $1m ARR), from the Retail and CPG-related space 4+ years working in a pre-sales capacity or supporting sales activity Technical in big data, data science, and cloud An ability in data-driven business transformation and driving change with data 4+ years of experience with design and implementation experience in big data technologies such as Hadoop, NoSQL, MPP, OLTP, and OLAP, or full lifecycle data science solutions Maintain and extend production data systems to evolve with complex customer needs Production programming experience in Python, R, Scala, or Java Nice

REMOTEpythonjavaai
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E
Eqvilent
📍 Remote• Remote
14mo ago

As an IT Compliance Manager , you will conduct in-depth evaluations of our technological infrastructure to ensure compliance with financial market regulations and data protection standards. This role entails a strong understanding of regulatory environments, meticulous attention to detail, and the capability to sustain high-performance levels in a quantitative trading context. We're looking for a dedicated professional who demonstrates high autonomy and accountability, someone who reliably completes tasks, proactively identifies and addresses compliance issues, and swiftly integrates into the dynamic rhythm of our organization. WHAT YOU'LL BE DOING: Project Leadership and Delivery Lead major compliance projects such as: ICT implementation reviews and compliance sign-offs Implementation of new regulatory requirements across specific markets or asset classes Compliance integration for new market access or trading venues Manage project timelines, resources, and stakeholder expectations Define project scope, deliverables, and success metrics Coordinate cross-functional teams to ensure successful project implementation ICT Implementation and Technology Compliance Lead compliance oversight of ICT implementations and technology projects Review and approve technology changes from a compliance perspective Monitor compliance with regulatory technical standards (e.g., MiFID II RTS 6 algorithmic trading requirements) Collaborate with technology teams to embed compliance controls in system architecture Oversee compliance aspects of system development lifecycle (SDLC) Ensure proper documentation and audit trails for all technology implementations Regulatory Expertise and Incident Management Stay updated on global regulatory standards and adapt strategies as necessary for each jurisdiction Act as a compliance liaison for technology and trading teams Participate in and respond to regulatory examinations and inquiries Present compliance metrics and project updates to stakehold

REMOTEpythonsqlproject management
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D
Databricks
📍 Atlanta• Remote• $180K – $247.5K/yr
51mo ago

P-256 We are looking for experienced pre-sales professionals who have a successful track record helping large enterprises become more data-driven. Working with the Account Executive (AE), the Travel & Hospitality within Retail SA defines and directs the technical strategy for our largest and important accounts, leading to more widespread use of our products and wider and deeper adoption of ML & AI. You will lean upon your solid background in value selling, technical account management and technical leadership to maximize success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks' products, you need to be technical and must understand the relevance and application of ML & AI within a range of use cases important to the target accounts in the Retail and CPG space. The impact you will have: You will work with up to 9 clients as the main technical voice for Databricks You will lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy You will implement the technical strategy in the account, in close understanding of the strategy Build a movement of technical champions within the account Align technical strategies around Databricks solutions You will provide structured mentorship for other team members What we look for: 5+ years of experience working very large (> $1m ARR), from the Retail and CPG related space 3+ years working in a pre sales capacity or supporting sales activity Technical in big data, data science and cloud An ability in data-driven business transformation, and driving change with data 3+ years of experience with design and implementation experience in big data technologies such as Hadoop, NoSQL, MPP, OLTP, and OLAP or full lifecycle data science solutions Maintain and extend production data systems to evolve with complex customer needs Production programming experience in Python, R, Scal

REMOTEpythonjavaai
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