Implementation Consultant Jobs

Role: Senior Cloud Engineer Location: Hyderabad, India (Hybrid) Department: Product Development About GHX: GHX (Global Healthcare Exchange) is a leading healthcare technology company on a mission to simplify the business of healthcare and improve patient outcomes. Founded in 2000, GHX has built the GHX Global Network — the world’s largest cloud-based supply chain community connecting healthcare providers, suppliers, distributors, and partners to automate key processes, reduce costs, and increase operational efficiency. Its solutions span electronic trading, procurement automation, inventory and contract management, business intelligence, and data synchronization, helping healthcare organizations improve productivity and focus more on patient care. Over the years, GHX has enabled significant cost savings for the industry and continues to innovate with intelligent automation and AI-driven capabilities. Website: https://www.ghx.com/ LinkedIn: https://www.linkedin.com/company/ghx/ About Role: The Senior Cloud Engineer leads the design, implementation, and operations of the organization’s cloud infrastructure. This role is responsible for complex projects, high-level architectural planning, and making strategic technology decisions that support scalability, performance, security, and cost optimization. Acting as a technical leader, the Senior Cloud Engineer provides mentorship to junior and mid-level engineers while driving innovation, resiliency, and compliance in cloud environments. Key Responsibilities: Design and Implementation Lead the design and implementation of cloud-native architectures and hybrid cloud solutions. Oversee cloud engineering projects, ensuring solutions are secure, resilient, and cost-effective. Contribute to high-level architectural planning and strategic decision-making around technology adoption. Review and approve design proposals, Infrastructure as Code (IaC) tem

Strength in Trust OneTrust’s mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn’t slow teams down—it should accelerate what’s possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, OneTrust is once again redefining what responsible innovation looks like. OneTrust, the AI‑Ready Governance Platform™, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, OneTrust is shaping the future where trusted data becomes a transformative force for business and society. The Challenge We are looking for a Senior Technical Architect (GRC) to join our Technical Advisory team (part of Customer Success). This is a customer-facing role for someone who combines strong GRC expertise with attention to details, and the ability to build trust with customers. You will work with risk leaders, compliance teams, audit, control owners, procurement, and technology stakeholders to understand business objectives and challenges, assess maturity and platform adoption, and provide clear recommendations to unlock business outcomes. You will act as a trusted advisor and product expert without owning hands-on implementation or configuration. Your Mission Lead outcome-focused discovery, advisory engagements, workshops, and expert sessions with customers. Apply your GRC expertise to understand customer objectives, processes, pain points, constraints, and desired outcomes before recommending a path forward. Guide customers across relevant capabilities such as IT risk management, compliance automation, enterprise policy management, audit and compliance management, third-party risk, and related GRC workflows. Expl

Strength in Trust OneTrust’s mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn’t slow teams down—it should accelerate what’s possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, OneTrust is once again redefining what responsible innovation looks like. OneTrust, the AI‑Ready Governance Platform™, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, OneTrust is shaping the future where trusted data becomes a transformative force for business and society. Sr Staff Solutions Architect (Design Partner Program) The Challenge We're looking for a Solutions Architect to join our R&D Customer Engineering organisation and partner with strategic Design Partner customers. This is a highly customer-facing role that sits at the intersection of solution architecture, product strategy, and enterprise governance. You will work directly with customers to understand their business challenges, technical requirements, regulatory considerations, and strategic objectives. Acting as the bridge between customers, Product Management, Engineering, and Executive Leadership, you will help shape product direction, influence roadmap investments, and design scalable solutions that deliver measurable customer outcomes. Success in this role means helping customers operationalise trust, governance, privacy, risk management, consent, and responsible data use while accelerating adoption, improving implementation outcomes, and driving long-term platform value. Your Mission Partner directly with enterprise customers to understand business objectives, technical requirements, operational challenges, and

Strength in Trust OneTrust’s mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn’t slow teams down—it should accelerate what’s possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, OneTrust is once again redefining what responsible innovation looks like. OneTrust, the AI‑Ready Governance Platform™, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, OneTrust is shaping the future where trusted data becomes a transformative force for business and society. The Challenge We're looking for a Staff Software Engineer to help lead technical direction across a major feature area or set of related systems at OneTrust. Staff Engineers determine their own approach on complex, often ambiguous assignments, and their technical judgment is trusted well beyond their immediate team. Your Mission Technical Leadership & Architecture Lead design and architecture for major features or components, ensuring alignment with the broader system architecture. Determine approach and methods independently on complex, ambiguous assignments without an established playbook. Cross-Team Collaboration Partner with other engineering teams, Product, and UX to shape solutions before implementation begins. Build working relationships and technical credibility beyond your immediate team. Quality & Standards Establish and champion engineering best practices adopted by your team and beyond. Mentorship Mentor Senior and mid-level engineers, helping them grow their technical judgmen

Strength in Trust OneTrust’s mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn’t slow teams down—it should accelerate what’s possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, OneTrust is once again redefining what responsible innovation looks like. OneTrust, the AI‑Ready Governance Platform™, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, OneTrust is shaping the future where trusted data becomes a transformative force for business and society. Sr Staff Solutions Architect (Design Partner Program) The Challenge We're looking for a Solutions Architect to join our R&D Customer Engineering organisation and partner with strategic Design Partner customers. This is a highly customer-facing role that sits at the intersection of solution architecture, product strategy, and enterprise governance. You will work directly with customers to understand their business challenges, technical requirements, regulatory considerations, and strategic objectives. Acting as the bridge between customers, Product Management, Engineering, and Executive Leadership, you will help shape product direction, influence roadmap investments, and design scalable solutions that deliver measurable customer outcomes. Success in this role means helping customers operationalise trust, governance, privacy, risk management, consent, and responsible data use while accelerating adoption, improving implementation outcomes, and driving long-term platform value. Your Mission Partner directly with enterprise customers to understand business objectives, technical requirements, operational challenges, and

Who are we: Graviton is a privately funded quantitative trading firm striving for excellence in financial markets research. We trade across a multitude of asset classes and trading venues using a gamut of concepts and techniques ranging from time series analysis, filtering, classification, stochastic models, pattern recognition, to statistical inference analyzing terabytes of data to come up with ideas to identify pricing anomalies in financial markets. As part of this team you will be tasked to apply machine learning and specifically deep learning techniques to trading problems while staying connected to broader research community. The researcher will put theory into practice and can immediately impact the global trading landscape with the expanding presence of Graviton in various markets. Description Lead research in applying machine learning to a wide variety of datasets and trading problems Follow latest developments in academic research and incorporating research techniques from different fields of applications to our problems Improve tick-by-tick order book based time series feature sets using latest preprocessing techniques Work on current and develop new deep learning models to exploit large pool of in-house features and computing infrastructure Develop scalable pipeline for building predictive models across global markets Discover and implement new sources of predictive alpha, verify that they improve existing models, and integrate them into the firm's strategy development pipeline Partner with quant researchers and software developers in implementation of conducted research to production using Python / C++ Advise infrastructure support team on latest developments on hardware and software to improve computing infrastructure for ML based research Qualifications Masters or PhD in Computer Science, Mathematics, Statistics, or a related field At least two years of demonstrated experience of ML/AI research in a professional setting or at a repu

Overview We are seeking a hands-on Director of AI Software Engineering to lead and scale AI engineering efforts supporting multiple business units across Governance, Risk, and Compliance (GRC). This role sits at the intersection of product delivery, platform evolution, and applied AI—driving real-world impact across core workflows. This is not a pure management role. We are looking for a builder who leads from the front, someone who has recently written production code, shipped systems end-to-end, and can operate comfortably in ambiguity while aligning teams and stakeholders. What You’ll Do Lead AI Engineering Across GRC Own delivery of AI-powered capabilities embedded directly into business unit workflows (e.g., risk analysis, compliance automation, reporting, due diligence) Partner with product, data, and platform teams to translate business problems into scalable AI systems Stay Hands-On Contribute to architecture, code reviews, and critical path implementation Prototype and validate new approaches (LLMs, agents, retrieval systems, classification pipelines, etc.) Set engineering standards for performance, reliability, and cost efficiency Build and Scale Teams Lead and mentor a high-performing team of AI/ML and software engineers Drive hiring, coaching, and career development Establish a culture of ownership, speed, and technical excellence Drive Execution Deliver production-grade systems—not experiments Balance speed with rigor (security, privacy, compliance) Operate across multiple concurrent initiatives with clear prioritization Communicate and Influence Act as a bridge between engineering and business stakeholders Clearly articulate trade-offs, risks, and outcomes to senior leadership Align cross-functional teams around shared goals and timelines What We’re Looking For Proven Builder 10+ years in software engineering, with recent hands-on coding experience Demonstrated track record of shipping production systems at scale Experience with modern

Here’s a summary of the role: Diligent is seeking Delivery Analyst with Risk & Audit experience to join our growing Professional Services team. We're looking for individuals who are passionate about technology and consistently exceeds client expectations, from meeting deadlines to delivering high-quality outcomes. In this role, you will be responsible for executing and delivering solutions in response to managed services requests from customers. As a subject matter expert in Diligent's solutions, you will collaborate closely with internal teams to ensure successful delivery and an exceptional client experience. This role is open to candidates based in Singapore, Australia and New Zealand . Please note that we are unable to provide visa sponsorship, so applicants must already have the legal right to work in their country of residence. Candidates based in one of our office locations within Singapore, Australia or New Zealand are expected to work from the office at least 50% of the time in line with our hybrid working policy. For candidates based elsewhere within these countries, where we do not have an office, remote working arrangements will be considered. Here’s a breakdown of what you’ll do (not all of it, just the important stuff): Deliver Professional Services over the course of the entire customer journey and/or product enablement lifecycle Assist PS management, CS team, and other stakeholders (where relevant and appropriate. Example: Sales, PM, PMM or Marketing) in the different stages of the customer lifecycle Leverage Domain, Industry and Product expertise to provide guidance to customers on best practices regarding solution rollout and project execution Continue to develop Domain and Product expertise to provide guidance to customers on best practices for solution rollout and project execution through continuous learning and personal development Build confidence to lead the implementation process end-to-end independently including eng

Here’s a summary of the role: Diligent is seeking for a Delivery Analyst (Entities) to join our growing Professional Services team. We're looking for individuals who are passionate about technology and consistently exceeds client expectations, from meeting deadlines to delivering high-quality outcomes. In this role, you will be responsible for executing and delivering solutions in response to managed services requests from customers. As a subject matter expert in Diligent's solutions, you will collaborate closely with internal teams to ensure successful delivery and an exceptional client experience. Here’s a breakdown of what you’ll do (not all of it, just the important stuff): Deliver Professional Services over the course of the entire customer journey and/or product enablement lifecycle. Assist PS management, CS team, and other stakeholders (where relevant and appropriate. Example: Sales, PM, PMM or Marketing) in the different stages of the customer lifecycle. Leverage product expertise to provide guidance to customers on best practices regarding solution rollout and project execution. Continue to develop and maintain Domain and Product expertise to provide guidance to customers on best practices for solution rollout and project execution through continuous learning and personal development. Build confidence to lead the implementation process end-to-end independently including engagement with the customer. Work with clients to understand their program goals and how they collect/process data. Support the assessment of source data and document structures, including metadata, naming conventions, relationships, and access requirements, to help define migration scope and mapping needs. Prepare and cleanse data and documents for migration by assisting with deduplication, metadata normalization, validation, and identificati

Here’s a summary of the role: Diligent is seeking Advisory Specialists I (Risk & Audit) to join our growing Professional Services team. We're looking for individuals who are passionate about technology and consistently exceeds client expectations, from meeting deadlines to delivering high-quality outcomes. In this role, you will be responsible for executing and delivering solutions in response to managed services requests from customers. As a subject matter expert in Diligent's solutions, you will collaborate closely with internal teams to ensure successful delivery and an exceptional client experience. This role is open to candidates based in Singapore, Australia and New Zealand . Please note that we are unable to provide visa sponsorship, so applicants must already have the legal right to work in their country of residence. Candidates based in one of our office locations within Singapore, Australia or New Zealand are expected to work from the office at least 50% of the time in line with our hybrid working policy. For candidates based elsewhere within these countries, where we do not have an office, remote working arrangements will be considered. Here’s a breakdown of what you’ll do (not all of it, just the important stuff): Deliver Professional Services over the course of the entire customer journey and/or product enablement lifecycle Assist PS management, CS team, and other stakeholders (where relevant and appropriate. Example: Sales, PM, PMM or Marketing) in the different stages of the customer lifecycle Leverage Domain, Industry and Product expertise to provide guidance to customers on best practices regarding solution rollout and project execution Continue to develop Domain and Product expertise to provide guidance to customers on best practices for solution rollout and project execution through continuous learning and personal development Build confidence to lead the implementation process end-to-end independently including engagement

Position Overview: We are excited to introduce a newly created Senior HR Business Partner role, partnering directly with the Senior Leadership Team (SLT) to drive organizational effectiveness, leadership capability, and strategic workforce planning across the business. Central to the role is holding senior leaders accountable for their own growth as leaders: coaching them with the same rigor they are expected to apply to their teams, so that as leaders level up, their team’s level up alongside them. You will help drive effective people practices by balancing business priorities with employee experience and will play a key role in evolving Diligent’s HR operating model toward more strategic, AI-enabled ways of working. The ideal candidate is collaborative, business-minded, and solutions-oriented, with strong judgment, communication skills, and the ability to build trusted relationships with senior stakeholders – while being direct enough to hold them to account. Key Responsibilities Serve as a senior strategic HR partner to the Senior Leadership Team (SLT) for an assigned business unit or regional pod, leading org design, talent planning, succession planning, and coaching. Develop the people strategy for the business unit or function you support, in partnership with senior leadership, translating business strategy and objectives into a people plan that delivers maximum impact. Lead strategic workforce planning for the business unit — including how work is organised across people and AI agents — and navigating the balance between building AI capability and developing the human skills needed for the future in an AI-first organisation. Partner with the HR Director on implementation and functional roll-out of the broader people strategy. Lead the business unit’s talent and performance cycles, including goal-setting/OKR cadence, SLT-level calibrations, compensation review for the SLT-and-below population, and 9-box grid review. Drive turning workforce, engageme

Software is eating the world, but AI is eating software. We live in unprecedented times – AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human evaluation and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations. This is the main innovation that’s enabled ChatGPT to get such a large headstart among competition. At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. At the foundation of these products is the Platform Engineering team. In this role, you will lead the design and development of core data storage, streaming, caching, and indexing platforms and underlying systems. You’ll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies. You will: Drive the architecture, design, implementation, and reliability of our foundational data platforms and systems, working closely with stakeholders and internal customers to understand and refine requirements. Collaborate with cross-functional teams to define, design, and deliver new features. Proactively identify opportunities for, and driving improvements to, current programming practices, including process enhancements and tool upgrades. Present technical information to teams and stakeholders, providing

We are building the Finance team to help make data-driven and financially sound decisions for Scale. The team is responsible for improving strategic, financial, and operational decisions by partnering with the leadership team in making critical decisions across Scale. The Corporate Finance team is responsible for owning the company’s budget, helping to drive monthly forecasts and annual planning processes, allocating and deploying the company’s resources efficiently, and performing financial analyses in partnership with all departments. As AI reshapes the competitive landscape, Corporate Finance sits at the center of decisions about where Scale invests, how quickly we scale, and which bets we make. You will have a unique opportunity to work closely with department heads on real-time, high-priority business issues and use quantitative insights to drive better decision making across Scale. The ideal candidate will not only have the technical skills to support their recommendations but also strong interpersonal skills to manage various stakeholders. What You’ll Do Provide analysis to support short and long-term decisions regarding workforce planning across the company. Own tools (such as the company's workforce planning system, TeamOhana) to automate and streamline reporting and headcount processes Partner cross-functionally with HR, Recruiting, Compensation, and Analytics teams to drive scalable analyses and insights. Define and maintain KPIs to measure impact on strategic initiatives and resource allocation. Manage the development, implementation, and administration of our financial forecasting system (Pigment) Partner with finance and accounting to drive process improvements (e.g. month-end close and reporting) Implement enhancements to forecasting tools, processes, and reporting deliverables that reduce manual work and improve data integration Support management, Board business, and financial planning, including presentations and key analysis requests Help execute

Overview Scale’s Finance Systems and Automation team is looking for a builder-oriented team member to help design and develop integrations, automations, and AI agents that streamline workflows across Finance, Accounting, People, and Recruiting. In this role, you will work closely with stakeholders across Finance, Accounting, People Operations, and Recruiting to understand their workflows and build integrations, automations, and agentic workflows that reduce manual effort and accelerate execution across these teams. You will leverage our internal data infrastructure, system integration tooling, and emerging AI platforms to architect scalable solutions — from traditional system integrations to intelligent agent-driven workflows — that serve as the foundation for long-term operational efficiency. We’re looking for someone who thrives on connecting systems, automating repetitive processes, and pushing toward more autonomous, AI-assisted operations. You should be comfortable navigating ambiguity, designing solutions that scale, and rigorously validating outcomes end to end. What You’ll Do Design and build agent-driven workflows and automation systems across People Operations, Recruiting, Finance, and Accounting Identify opportunities to replace manual or rules-based processes with agentic workflows Partner with stakeholders to translate business processes into scalable, automated solutions Lead the implementation of end-to-end workflows, from requirements through deployment and validation Automate candidate-to-employee transitions (e.g., Greenhouse → HRIS → provisioning systems) Build workflows to manage employee lifecycle events such as onboarding, transfers, and offboarding Automate approval flows and data synchronization across People, Finance, and Recruiting systems Support accounting and finance workflows through scalable integrations and automation Design and implement the underlying integrations and data flows that enable reliable automation and agent behavior Est

Software is eating the world, but AI is eating software. We live in unprecedented times – AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human eval and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations. This is the main innovation that’s enabled ChatGPT to get such a large headstart among competition. At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. At the foundation of these products is the Platform Engineering team. In this role, you will support the design and development of shared platforms used across Scale. This includes designing our foundational data platforms and lifecycle, architecting Scale’s core cloud infrastructure and orchestration stack, and redefining how engineers develop, build, test, and deploy software at Scale. You’ll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies. You will: Drive the design, and implementation of our foundational platforms and systems, working closely with stakeholders and internal customers to understand and refine requirements. Collaborating with cross-functional teams to define, design, and deliver new features. Proactively identifying opportunities for, and driving improvements to, current p