6 дней назад
Senior Product Intelligence Partner (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Product Intelligence Partner (AI): Driving data-informed improvements in software engineering execution, delivery effectiveness, product quality, and organizational performance with an accent on AI-enabled analysis, engineering metrics, and executive partnering. Focus on diagnosing systemic causes, shaping reusable intelligence products, and turning quantitative and qualitative signals into measurable improvement initiatives.
Location: Colombo, Western Province, Sri Lanka; the role can be based in the UK, Sweden, or Sri Lanka. Hybrid work opportunities are available.
Company
is a global enterprise software company with 7,000+ employees and AI-powered solutions used by customers worldwide.
What you will do
- Partner with Product, Engineering, and Platform leadership teams on execution health, delivery effectiveness, product quality, and organizational performance.
- Build frameworks for measuring software engineering delivery, quality, developer experience, and organizational effectiveness.
- Identify trends, risks, opportunities, and systemic root causes by combining quantitative data with qualitative context.
- Help leaders define improvement initiatives, success measures, and outcome indicators, then track their effectiveness.
- Shape the Product Intelligence platform through feedback on user needs, data gaps, dashboards, narratives, and self-service capabilities.
- Use AI for pattern detection, summarization, anomaly identification, knowledge discovery, and proactive recommendations while validating and explaining generated insights.
Requirements
- 7–10 years of experience in software engineering, product development, engineering operations, product operations, consulting, analytics, or related leadership roles.
- Experience working with senior leadership teams and influencing decisions through data-driven insights.
- Strong understanding of modern software engineering practices, software delivery lifecycles, and organizational effectiveness.
- Deep knowledge of DORA, SPACE, flow metrics, developer experience, and the appropriate use of metrics as signals rather than targets.
- Strong analytical and problem-solving skills, including translating complex datasets into executive-level insights and recommendations.
- Experience driving operational improvements, continuous improvement, and organizational change through influence rather than direct authority.
Culture & Benefits
- Flexible and hybrid work opportunities designed to support different needs and lifestyles.
- Inclusive, international working environment focused on collaboration, trust, sustainability, and positive impact.
- Opportunities to work with AI-powered enterprise software and contribute to organization-wide improvement.
- Workplace practices that support community, connection, innovation, and belonging.
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