Senior Director, Reporting & Analytics Engineering

<div class="content-intro"><p><strong>Why Sony Interactive Entertainment?</strong></p> <p>Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.</p></div><h2><span style="font-size: 16px;">Role Overview:</span></h2> <p><span style="font-size: 12pt;">We are seeking a Senior Director to lead our Enterprise Reporting and Analytics Engineering organization, a team of analytics engineers, report developers, visualization specialists, and people leaders. This organization focuses on the last mile of the enterprise data supply chain: the semantic models, curated data products, metric definitions, and consumption experiences that turn engineered data into decisions.</span></p> <p><span style="font-size: 12pt;">This is not a traditional reporting leadership role; the classic notion of “reporting” in the form of a myriad of dashboards and filters is racing towards obsolescence. But the need for data and insights, and the need to deliver it in a way that is digestible and actionable, is timeless. Yes, governed dashboards and trusted reporting remain the foundation, and this leader must be excellent at that foundation. But the mandate is to move the organization decisively beyond static reporting toward a proactive, intelligent analytics capability: partnering with Data Science to productize and visualize their models, enabling generative AI and LLM-based access to our data, building exception-based systems that alert users when outcomes deviate from expectation in a statistically meaningful way, and designing agents that monitor data continuously and deliver insight without being asked.</span></p> <p><span style="font-size: 12pt;">Analytics engineering shares much of its DNA with data engineering — modeling, transformation, testing, version control, CI/CD, performance and cost discipline — but is oriented toward business enablement rather than platform and pipeline. Success in this role therefore depends as much on partnership as on technical depth. This leader will work shoulder to shoulder with Data Engineering on the boundary between platform and consumption, with Product Management on roadmap and requirements, with Data Science on advanced analytic products, and with Analytics Operations on a disciplined intake and prioritization process that makes the best possible use of finite capacity.</span></p> <p><span style="font-size: 12pt;">The ideal candidate has spent years building the traditional foundations — governance, metadata, lineage, dimensional modeling, engaging with enterprise BI platforms— and is now looking to apply that rigor to a fundamentally different generation of analytic products in new and innovative ways.</span></p> <p><span style="font-size: 12pt;"><strong>What you'll be doing:</strong></span></p> <p><span style="font-size: 12pt;"><strong>Organizational Leadership</strong></span></p> <ul> <li><span style="font-size: 12pt;">Lead, coach, and develop an organization of approximately 30 people, including managing through frontline managers; own hiring, role clarity, career pathing, performance management, and succession planning.</span></li> <li><span style="font-size: 12pt;">Define a multi-year vision and roadmap for enterprise reporting and analytics engineering, and translate it into quarterly outcomes the team and its partners can measure. Partner closely with Product Management to jointly shape the multi-year enterprise end-to-end data strategy.</span></li> <li><span style="font-size: 12pt;">Own the organization's budget, vendor relationships, and contractor or offshore capacity.</span></li> <li><span style="font-size: 12pt;">Establish and sustain an engineering culture within an analytics function: peer review, automated testing, documentation standards, source control, CI/CD, etc.</span></li> </ul> <p><span style="font-size: 12pt;"><strong>Analytics Engineering and Data Architecture</strong></span></p> <ul> <li><span style="font-size: 12pt;">Drive maturity of the last-mile architecture in partnership with Data Engineering: curated marts, semantic layers, reusable data products, and certified datasets that serve reporting, ai enablement, data science, and downstream applications.</span></li> <li><span style="font-size: 12pt;">Define and enforce dimensional modeling standards, transformation frameworks, and modular, tested, version-controlled analytics code.</span></li> <li><span style="font-size: 12pt;">Own the enterprise metric layer so that key business measures carry a single, governed definition regardless of where they are consumed.</span></li> <li><span style="font-size: 12pt;">Partner with Data Engineering to define clear contracts and handoffs between pipeline and platform work and last-mile modeling, including shared tooling, standards, and escalation paths.</span></li> <li><span style="font-size: 12pt;">Manage query performance, warehouse consumption, and platform cost as first-class engineering concerns.</span></li> </ul> <p><span style="font-size: 12pt;"><strong>Data Governance, Metadata, and Lineage</strong></span></p> <ul> <li><span style="font-size: 12pt;">Own cataloging, business glossary, data certification, and stewardship workflows, leveraging tools such as Atlan as the primary metadata platform.</span></li> <li><span style="font-size: 12pt;">Maintain column-level lineage across the analytics estate to support impact analysis, change management, audit, and root-cause investigation.</span></li> <li><span style="font-size: 12pt;">Leverage data access provisioning and entitlement models, including row- and column-level security, in partnership with Security, Privacy, and Compliance.</span></li> <li><span style="font-size: 12pt;">Collaborate with Data Engineering to drive data quality monitoring, freshness and availability SLAs, observability, and incident response for analytic assets.</span></li> </ul> <p><span style="font-size: 12pt;"><strong>Enterprise Reporting and Data Visualization</strong></span></p> <ul> <li><span style="font-size: 12pt;">Drive analytics engagement by leveraging enterprise visualization and provisioning platforms, including Domo and Tableau, in partnership with Data Engineering. Ensure best practices are followed in data architecture, governance, adoption, performance, and total cost management.</span></li> <li><span style="font-size: 12pt;">Set visualization and information design standards that make reports readable, consistent, accessible, and decision-oriented.</span></li> <li><span style="font-size: 12pt;">Rationalize the existing reporting portfolio: retire redundant and unused assets, consolidate overlapping content, drive down tech debt and drive consumption toward certified sources.</span></li> <li><span style="font-size: 12pt;">Build a durable self-service capability through training, templates, community, office hours, and clear guardrails on what belongs in self-service versus centrally managed content.</span></li> </ul> <p><span style="font-size: 12pt;"><strong>Advanced, Proactive, and AI-Enabled Analytics</strong></span></p> <ul> <li><span style="font-size: 12pt;">Partner with Data Science to productize their work: build the visualization, interaction, monitoring, and feedback loops that turn models and research into products the business actually uses.</span></li> <li><span style="font-size: 12pt;">Partner with Product Management and Data Engineering to enable generative AI and LLM access to enterprise data. This includes preparing the semantic and metadata foundation that makes data legible to models, delivering conversational analytics, text-to-SQL, and retrieval-augmented experiences on governed sources, and establishing guardrails, evaluation, and accuracy monitoring so that answers can be trusted.</span></li> <li><span style="font-size: 12pt;">Build exception-based analytics that detect when an outcome deviates from its expected value in a statistically significant way, using seasonality-aware baselines, forecast residuals, control limits, and anomaly detection rather than static thresholds.</span></li> <li><span style="font-size: 12pt;">Route those exceptions to accountable owners with context, likely drivers, and a recommended next action; actively tune sensitivity and volume to prevent alert fatigue and preserve signal.</span></li> <li><span style="font-size: 12pt;">Design and deploy analytic agents that proactively monitor data, investigate variances, assemble narrative explanations, and deliver insight into the tools where people already work.</span></li> <li><span style="font-size: 12pt;">Shift the organization's consumption model from pull to push: the measure of success is not how many people opened a dashboard, but whether the right person was told the right thing at the right time.</span></li> </ul> <p><span style="font-size: 12pt;"><strong>Cross-Functional Partnership, Intake, and Prioritization</strong></span></p> <ul> <li><span style="font-size: 12pt;">Operate as a true partner to Product Management: contribute to roadmap, requirements, user research, and release planning, and run analytics with a product mindset covering personas, adoption metrics, and asset lifecycle management.</span></li> <li><span style="font-size: 12pt;">Partner with Analytics Operations to run a transparent intake, triage, sizing, and prioritization process, with published capacity, explicit tradeoffs, and reliable delivery commitments.</span></li> <li><span style="font-size: 12pt;">Make capacity constraints visible to stakeholders and executives, drive reuse over one-off builds, and decline or defer work with evidence rather than friction.</span></li> <li><span style="font-size: 12pt;">Serve as a senior, executive-facing partner to business functions, translating ambiguous business questions into well-scoped analytic solutions.</span></li> </ul> <p><span style="font-size: 12pt;"><strong>What we're looking for:</strong></span></p> <ul> <li><span style="font-size: 12pt;">Bachelor's degree in Computer Science, Information Systems, Engineering, Statistics, Mathematics, Economics, or a related quantitative field; equivalent professional experience will be considered.</span></li> <li><span style="font-size: 12pt;">15+ years of progressive experience in data, analytics, or business intelligence, including 8+ years leading teams and 4+ years managing managers.</span></li> <li><span style="font-size: 12pt;">Demonstrated experience leading an organization of 25 or more people in a large, matrixed enterprise.</span></li> <li><span style="font-size: 12pt;">Strong hands-on foundation in SQL, dimensional modeling, and ELT/ETL design, with production experience on a modern cloud data warehouse or lakehouse (for example Snowflake, Databricks, BigQuery, Redshift, or Synapse) and a transformation framework such as dbt.</span></li> <li><span style="font-size: 12pt;">Experience applying software engineering practices to analytics work, including Git-based workflows, automated testing, and CI/CD.</span></li> <li><span style="font-size: 12pt;">Enterprise-scale leveraging of BI and data visualization platforms such as Domo, Tableau, Power BI, or Looker, including governance, provisioning, adoption, and cost management.</span></li> <li><span style="font-size: 12pt;">Demonstrated ability to participate in driving data governance program covering catalog, lineage, glossary, stewardship, quality, and access, using platforms such as Atlan, Collibra, Alation, or Informatica.</span></li> <li><span style="font-size: 12pt;">Proven track record of delivering jointly with Data Engineering and Product Management, with clear ownership boundaries and shared accountability.</span></li> <li><span style="font-size: 12pt;">Direct experience partnering with Data Science, including operationalizing, visualizing, and monitoring model output for business consumption.</span></li> <li><span style="font-size: 12pt;">Working command of the statistical concepts underlying exception detection, including hypothesis testing, confidence intervals, variance and control limits, seasonality, and forecasting.</span></li> <li><span style="font-size: 12pt;">Experience running a formal intake, prioritization, and capacity planning process for a shared services or platform organization.</span></li> <li><span style="font-size: 12pt;">Excellent executive communication and influence skills, with the ability to operate effectively amid ambiguity and competing priorities.</span></li> <li><span style="font-size: 12pt;">Experience managing budget, vendor contracts, and platform licensing.</span></li> </ul> <p><span style="font-size: 12pt;"><strong>Preferred Skills:</strong></span></p> <ul> <li><span style="font-size: 12pt;">Master's degree or MBA in a related field.</span></li> <li><span style="font-size: 12pt;">Production experience delivering LLM-based analytics: retrieval-augmented generation over governed data, text-to-SQL or conversational BI, semantic layers designed for model consumption, and prompt, evaluation, and cost monitoring frameworks.</span></li> <li><span style="font-size: 12pt;">Experience designing agentic workflows and orchestration for monitoring, investigation, and notification use cases.</span></li> <li><span style="font-size: 12pt;">Hands-on experience with Atlan, Domo, and Tableau specifically.</span></li> <li><span style="font-size: 12pt;">Proficiency in Python or R for prototyping, and familiarity with common statistical and ML libraries and MLOps concepts.</span></li> <li><span style="font-size: 12pt;">Experience deploying anomaly detection at scale, including alert routing, suppression, and fatigue management.</span></li> <li><span style="font-size: 12pt;">Familiarity with data product and data mesh operating models, domain-aligned ownership, and data contracts.</span></li> <li><span style="font-size: 12pt;">Experience operating in an Agile or product operating model at scale, including portfolio, OKR, and roadmap management. Deep experience with the “Silicon Valley” school of Product Management, as exemplified by the “Marty Kagan”-style academic approach a significant plus.</span></li> <li><span style="font-size: 12pt;">Experience leading global or matrixed teams, including offshore or vendor-partnered delivery models.</span></li> <li><span style="font-size: 12pt;">Track record leading a major platform migration, consolidation, or reporting rationalization effort.</span></li> <li><span style="font-size: 12pt;">Demonstrated success attracting, developing, and retaining senior technical talent in a competitive market.</span></li> </ul><div class="content-conclusion"><p class="p1">Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.</p> <p class="p1">Please refer to our&nbsp;<a href="https://www.playstation.com/legal/careers-privacy-notice/" target="_blank">Candidate Privacy Notice</a>&nbsp;for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.</p> <p><strong>Equal Opportunity Statement:</strong></p> <p><em>Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.</em></p> <p><em>We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.&nbsp;</em></p> <p><em>Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.</em></p> <p>&nbsp;</p></div>

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