Senior Product Manager, Reporting & Analytics

Job not on LinkedIn

November 11

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Logo of ABBYY

ABBYY

Artificial Intelligence • Enterprise • SaaS

ABBYY is a leading provider of intelligent automation solutions, leveraging AI-powered document processing technologies to transform and optimize business processes. The company offers solutions such as ABBYY Vantage, a low-code platform for document processing, and ABBYY Timeline, which provides process mining and simulation to gain actionable insights into business processes. ABBYY serves a wide range of industries including financial services, insurance, and public sector by automating tasks such as accounts payable automation and customer onboarding. Known for its high accuracy and efficiency, ABBYY's technologies enable organizations to enhance productivity, improve process intelligence, and achieve cost savings.

501 - 1000 employees

Founded 1989

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

💰 Venture Round on 2021-05

📋 Description

• Lead the strategy, roadmap, and lifecycle management for our reporting and analytics products, ensuring alignment with customer outcomes and business objectives. • Engage closely with customers to define and deeply understand their reporting, analytics, and data visualization needs. • Collaborate with engineering, data analytics, UX/UI, sales, and customer success teams to design, build, and launch products that deliver measurable outcomes. • Develop clear product requirements, user stories, acceptance criteria, and success metrics, ensuring effective prioritization of features. • Continuously analyze market trends, competitive landscape, and customer feedback to drive innovation and product enhancements. • Act as a subject matter expert in business intelligence, data analytics, and reporting solutions, effectively communicating the value and vision internally and externally.

🎯 Requirements

• 3-5 years of experience as a Product Manager, with specific experience in reporting, analytics, or BI-focused products. • Strong technical understanding of data technologies, including SQL, databases, data warehousing, ETL processes, and BI tools. • Proven ability to engage with customers to define requirements, identify desired outcomes, and deliver data-driven products that provide clear value. • Excellent analytical and problem-solving skills, with a data-driven mindset and proficiency in data visualization and analytical tools. • Exceptional communication, leadership, and stakeholder management abilities, capable of influencing and collaborating across teams.

🏖️ Benefits

• Three weeks' paid time off plus 13 paid holidays, floating holidays, and holiday allowance increase based on tenure • Gym membership subsidy • Medical and dental insurance • Pet insurance • Employee Assistance Program • College Savings Plan • Travel assistance • 401(k) with up to 4% employer match

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