About Us:
As a Senior Technical Product Manager at Kenility, you’ll join a tight-knit family of creative developers, engineers, and designers who strive to develop and deliver the dlqbzad-pssilfq products to the market.
Technical Requirements:
- Bachelor’s degree in Computer Science, Software Engineering, or a related field.
- 5+ years of experience in technical product management, particularly within data, analytics, or cloud-based platform environments.
- Strong working knowledge of modern cloud data technologies, including Databricks or comparable Spark-based platforms, Snowflake or similar cloud data warehouses, and SQL.
- Ability to evaluate technical designs, assess implementation tradeoffs, and understand the delivery and business impact of technical dependencies or delays.
- Proven experience managing cross-functional dependencies, RAID processes, risks, and escalations within matrixed organizations.
- Advanced written communication skills, with the ability to translate complex technical scenarios into concise, actionable information for senior stakeholders.
- Hands-on experience using Jira and Confluence for roadmap planning, delivery tracking, and product documentation.
- Practical experience working with both Agile methodologies and milestone-based delivery approaches.
- Experience incorporating data governance, privacy, and security requirements into product delivery, including access management, data retention and deletion processes, and audit documentation.
- Experience working with infrastructure or platform teams on automated environment provisioning and production change-management practices.
- Knowledge of release management practices, including testing, rollback planning, operational handoffs, and platform resilience considerations.
- Experience in retail, CPG, or retail media environments, including exposure to measurement, audience activation, or insights platforms, is preferred.
- Experience supporting multi-tenant B2B data products where external clients directly interact with the platform and contractual requirements influence product capabilities is preferred.
- Exposure to AI and machine learning delivery processes, including governance considerations related to the use of customer data, is preferred.
- Familiarity with cloud cost management and compute optimization in consumption-based environments is preferred.
- PMP, SAFe, or comparable program or Agile delivery certification is considered a plus.
- Minimum Upper Intermediate English (B2) or Proficient (C1).
Tasks and Responsibilities:
- Own the day-to-day product operating model, translating product strategy and roadmap objectives into coordinated and measurable delivery outcomes.
- Build and maintain an integrated delivery plan covering milestones, sequencing, decision points, ownership, and dependencies across Engineering, Data Science, Governance, Commercial, and Platform Operations teams.
- Maintain Jira and Confluence as reliable sources of truth for roadmap progress, priorities, decisions, risks, and delivery status.
- Lead planning, prioritization, intake, weekly team coordination, and leadership reporting cadences while ensuring the organization remains focused on product outcomes.
- Evaluate and communicate tradeoffs when new client needs or business commitments affect existing quarterly priorities.
- Identify and actively manage dependencies between the platform, upstream data and science capabilities, and downstream activation workflows.
- Partner closely with Engineering on architecture decisions, Databricks workspace design, environment provisioning, release processes, platform reliability, data pipeline dependencies, access management, and infrastructure-related considerations.
- Collaborate with platform and infrastructure teams on automated provisioning, change governance, production safeguards, resilient releases, and workspace recovery processes.
- Coordinate release readiness by ensuring appropriate testing, rollback planning, documentation, operational handoffs, stakeholder communication, and cross-functional go/no-go alignment.
- Manage the operational client onboarding lifecycle, coordinating user provisioning, contracted access levels, Snowflake environment administration, access reviews, and enablement activities.
- Coordinate client lifecycle events such as expansions, renewals, re-kickoffs, escalations, and access termination with Commercial and client-facing teams.
- Ensure data access, retention, deletion, security, and contractual requirements are incorporated into delivery planning and completed within required timelines.
- Coordinate AI and advanced analytics initiatives through the appropriate governance processes, clearly documenting business objectives, intended users, and expected decision outcomes.
- Maintain current audit evidence and ensure governance requirements are addressed throughout delivery rather than solely at final approval stages.
- Produce clear release communications, status updates, decision records, and executive-level narratives tailored to technical, commercial, and leadership audiences.
- Facilitate cross-functional discussions around competing priorities and dependencies, driving teams toward documented decisions and clear ownership.
- Partner with Agile Delivery stakeholders to establish and monitor indicators such as delivery predictability, cycle time, onboarding time to value, environment reliability, platform cost per client, and aging risks.
- Lead retrospectives focused on actionable process improvements and convert successful operating practices into reusable playbooks.
- Drive consistent execution against roadmap commitments while making scope changes, delivery risks, and dependencies visible early enough for stakeholders to act.
- Establish repeatable processes for recurring activities such as client onboarding, releases, access reviews, and operational handoffs.
Soft Skills:
- Responsibility
- Proactivity
- Flexibility
- Great communication skills
