Full-Time
Senior Business Analyst /Product Manager
US
Photon
Global AI and digital solutions provider
Compensation Overview
$44k - $154k/yr
United States
In Person
 Product (1) |
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- 5–8 years of experience as a Product Manager, Business Analyst, or Product Owner in data-centric platforms.
- The Product Manager will bridge business requirements and technical implementation for US, Mexico and Canada, ensuring scalable, reliable, and analytics-ready data products using Snowflake, DOMO, and GCP-native services.
- Strong understanding of data platforms, databases, ETL/ELT, and analytics ecosystems.
- Hands-on exposure to Snowflake for analytics and DOMO for reporting and dashboards.
- Experience working with cloud data platforms on Google Cloud Platform, including BigQuery, Pub/Sub, Dataflow, and Cloud Storage.
- Ability to translate complex technical concepts into business-friendly product requirements.
- Experience working with distributed/onshore-offshore teams.
- Strong communication, stakeholder management, and prioritization skills.
- Exposure on multi country data would be good
- Define and own the product vision and roadmap for the cloud data platform, analytics, and reporting ecosystem.
- Translate business objectives into clear product requirements, epics, and user stories for data engineering and analytics teams.
- Prioritize features and enhancements across data ingestion, ETL/ELT, databases, streaming, and BI layers.
- Own end-to-end data product lifecycle across operational databases (MySQL, PostgreSQL), cloud databases (Spanner, Cloud SQL, AlloyDB), analytics platforms (Snowflake, BigQuery), BI & reporting tools (DOMO).
- Ensure data products are analytics-ready, scalable, and aligned with reporting and decision-making needs.
- Drive adoption of config-driven ETL/ELT pipelines and standardized data models.
- Partner with onshore solution architects and technical leads to align product goals with architecture decisions.
- Act as the primary interface between business stakeholders, engineering, analytics, and offshore teams.
- Gather feedback from users and stakeholders to continuously refine data products and dashboards.
- Work closely with engineering teams to ensure timely and high-quality delivery of data pipelines, schemas, and reports.
- Support schema evolution, data migrations, and onboarding of new data sources from a product standpoint.
- Ensure readiness for batch and near-real-time data use cases.
- Define success metrics (KPIs) for data platform reliability, performance, and analytics adoption.
- Ensure compliance with data governance, security, and quality standards.
- Oversee documentation including product specs, data catalogs, and reporting definitions.
- Guide offshore teams by providing clear product direction, acceptance criteria, and prioritization.
- Support release planning, backlog grooming, and sprint ceremonies.
- Champion best practices for data modernization and cloud-native analytics.
- Exposure to enterprise databases and technologies such as AS/400, MongoDB, Cassandra, or GraphQL.
- Experience in enterprise data modernization or legacy-to-cloud transformation programs.
- Familiarity with CI/CD concepts for data pipelines and analytics deployments.
- Certifications (preferred but not mandatory): Google Professional Data Engineer, Google Cloud Architect, SAFe Product Owner / Product Manager
Photon helps large enterprises accelerate AI adoption and digital growth. It delivers AI management, digital innovation, product design thinking, and engineering to implement and run AI solutions, scale products and experiences, and improve operations. By serving thousands of employees across many countries and working with a sizable portion of the Fortune 100, Photon combines global delivery with a broad skill set to handle billions of daily touchpoints. Its goal is to keep clients agile and future-ready by expanding AI capabilities and digital initiatives across industries.
Company Size
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Company Stage
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Total Funding
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Headquarters
London, United Kingdom
Founded
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Simplify's Take
What believers are saying
- Generative AI boosts Photon's UX/UI prototyping for Fortune 100 clients.
- Omnichannel MarTech consolidation expands Photon's Salesforce integrations.
- AI personalization aligns with Photon's data-driven 1 billion interactions.
What critics are saying
- Salesforce Einstein GPT undercuts Photon's integrations for Fortune 100 clients.
- Accenture's Navisite acquisition steals 40% of Photon's Fortune 100 clients.
- TCS launches rival Digital HyperExpansion in Q1 2026, undercutting pricing.
What makes Photon unique
- Photon manages 1 billion daily customer interactions via Digital HyperExpansion.
- Photon deploys 7,500 digital engineers for Fortune 100 infrastructure modernization.
- Photon excels in vertical-specific consulting for financial services and healthcare.
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Benefits
Health Insurance
Dental Insurance
Vision Insurance
401(k) Retirement Plan
Paid Vacation
Paid Holidays
Performance Bonus
Company News
Exein unveils next-generation runtime security to protect the ai-native world. * Photon blocks cyberattacks before execution across physical AI and IoT, autonomous AI agents and cloud and edge infrastructure * Kernel-level prevention sets a new standard beyond traditional user-space detection * Builds on Exein's position as the world's largest runtime security provider, protecting over two billion devices Mar 23, 2026 Prev Next 1 of 42,872 Exein, the global leader in runtime cybersecurity, unveiled Photon, a preemptive breakthrough solution that blocks cyberattacks at the point of execution. Designed for the AI-native world - where digital and physical systems are now inseparable - Photon marks a fundamental shift in how critical infrastructure protects itself. Unlike traditional cybersecurity solutions that detect threats after compromise - typically operating in user space and relying on a cloud network - Exein's Photon operates directly inside the kernel, preventing malicious execution paths before they can run. By blocking attacks before the point of execution, the technology dramatically reduces latency and eliminates entire classes of threats before damage occurs. If malicious instructions cannot execute, the attack itself cannot take place. This advancement establishes a new category of runtime security designed for systems that cannot be disconnected: physical AI and IoT environments, autonomous AI agents, and local hybrid cloud and edge infrastructure. In these environments, from industrial robotics and critical infrastructure to AI-driven platforms, downtime is not an option, and protection must be more precise and granular, blocking malicious threats without shutting down the entire process. The announcement at the RSA Conference (RSAC) comes as cyber threats increasingly target physical systems. Last month, the Munich Security Report 2026 warned that cyber operations are now engineered to cause real-world disruption, accelerating regulatory intervention after voluntary measures failed to address systemic vulnerabilities. At the same time, the speed of attacks is accelerating dramatically: recent threat intelligence shows average attacker 'breakout times' fell to just 29 minutes in 2025, 65% faster than the previous year, driven in part by AI-assisted automation. Protecting the digital and physical in the AI era Artificial intelligence is already capable of identifying vulnerabilities in software and infrastructure. In the near future, these models will not only detect weaknesses but exploit them autonomously to launch attacks at machine speed. As the scale and sophistication of these attacks grow, traditional runtime security systems that rely on detection alone will no longer be sufficient. Photon introduces a new model of preemptive runtime security designed for this AI-driven environment. Rather than detecting attacks after they begin, it prevents malicious execution paths from running in the first place, blocking threats in real time before they can impact the system. Unlike conventional security tools that operate in user space alongside the applications they protect, Photon operates directly within the kernel, the core of the operating system. By enforcing protection at this foundational layer, rather than merely detecting and stopping attacks, it prevents them from executing in the first place - all in real time. This marks a major milestone as physical and digital systems converge, positioning Photon as a new reference architecture for securing physical AI, agent AI and cloud and hybrid infrastructure. Gianni Cuozzo, Founder and CEO of Exein, said: "In a future where the world is infinitely connected with humanoid robots walking among Aithority, local LLMs powering intelligent edges, autonomous drones reshaping mobility, and billions of new autonomous systems bridging the digital and physical realms, preemptive runtime security represents the new generation of protection, built into the very DNA of every device from the ground up. "Exein was born to make this vision a reality: transforming every connected device into a fortress of security, forging the largest decentralised immune system for digital life - cross-vendor, cross-platform, and cross-system. We stand as the first line of defence between the boundless digital world and the physical one we live in, empowering manufacturers to build inherently safe innovations and already safeguarding over 2 billion devices worldwide."