Product Manager II
Hace 2 días
Bogota Capital District, RAP (Especial) Central, Colombia
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Job Summary
As a Product Manager II, you will own delivery outcomes for one or more internal products or a defined major capability, working closely with cross-functional partners to translate business needs into well-defined, shippable solutions. You will be accountable for backlog quality, day-to-day prioritization, and ensuring that delivered features achieve their intended business outcomes.
From day one, you will operate with clear ownership over a product backlog and roadmap execution, partnering with design, engineering, and business stakeholders to drive consistent delivery in a complex professional services environment. You will be empowered by our collaborative culture and commitment to excellence to shape the future of our internal products, fostering agility and innovation in a rapidly evolving professional services landscape.
Responsibilities
Key Responsibilities
● Collaborate with partners to create product vision, strategy, and roadmap, translating business priorities into sequenced delivery plans. ● Own and manage the product backlog for a single product or major capability—writing clear user stories and acceptance criteria, and prioritizing features based on business value and resource constraints. ● Apply domain expertise to design and develop highly specialized analytics tools and products for niche business areas. ● Provide subject matter expertise to guide the development of complex, business-specific solutions. ● Lead discovery sessions with stakeholders to understand business needs, requirements, and user pain points. ● Regularly update stakeholders on product progress, risks, and upcoming milestones. ● Support training and enablement efforts to ensure successful product adoption. ● Identify delivery risks and work with partners to define mitigation strategies. ● Facilitate cross-functional collaboration to ensure successful feature delivery. ● Conduct market research and competitive analysis to identify strategic opportunities and inform product decisions. ● Analyze product metrics and user feedback to inform prioritization and continuous improvement. ● Build and maintain relationships with vendors, manage integrations, and provide input on buy-vs-build decisions. ● Monitor emerging technologies to identify applications for business problems. ● Coordinate with external partners for outsourced development initiatives. ● Implement and refine product development methodologies to improve delivery processes. AI & Data Specialization This role carries an AI and Data specialization. Depending on assignment, you may also: ● Support delivery of AI-enabled or automation solutions by translating business workflows into clear product requirements. ● Partner with engineering, data, and business stakeholders to define AI use cases, success metrics, and acceptance criteria. ● Assist in evaluating automation opportunities by assessing feasibility, risks, and expected business impact. ● Ensure AI-enabled features align with firm standards, governance, and responsible AI guidelines. ● Monitor performance and adoption of AI-enabled features to inform prioritization and continuous improvement. ● Support delivery of data products or analytics capabilities, including dashboards, reports, or data-driven workflows. ● Demonstrate foundational awareness of machine learning concepts—including LLMs, NLP techniques, and common model types—sufficient to understand how data
- and model-driven capabilities support product requirements and user outcomes. ● Collaborate with Data and Engineering partners to deliver data
- and model-enabled features, incorporating guidance on model behavior, testing considerations, and quality signals into day-to-day product work. ● Translate business questions into well-defined data product features and user stories. ● Support backlog prioritization for data initiatives based on business value, dependencies, and data readiness. ● Use data and analytics to inform product decisions and measure product outcomes. Skills and Experience Qualifications ●English B2+/C1 ● Bachelor’s degree in a relevant field. ● 5–8 years of experience in product management or a closely related role, preferably in a professional services environment. ● Experience owning delivery for a major capability, including backlog management and day-to-day prioritization. ● Strong understanding of product management frameworks and Agile methodologies. ● Experience gathering business requirements and translating them into clear user stories and acceptance criteria. ● Experience creating and maintaining product roadmaps and sequencing work based on business priorities and constraints. ● Demonstrated ability to analyze product metrics and user feedback to inform prioritization and continuous improvement. ● Ability to work effectively with cross-functional teams (design, engineering, operations, change management). ● Strong communication skills, with the ability to manage stakeholders and drive alignment at the product level. ● Familiarity with common product and delivery tools such as Azure DevOps, ServiceNow, Smartsheet, or similar platforms. ● Strong organizational skills and attention to detail. ● Fluent professional English; able to work effectively across LATAM and US time zones and with US-based stakeholders. Preferred Experience ● Professional certifications in one or more domains (Tax, Audit, Advisory, Internal Services). ● Prior experience working within professional services or internal enterprise product environments. ● Exposure to vendor-supported or outsourced development models. ● Experience supporting product adoption and change management for internal users. ● Exposure to analytics, automation, AI, or data-driven solutions applied to business problems. ● Experience working across multiple workstreams or stakeholder groups within a single product area. ● Ability to quickly adapt to new technologies and methodologies. ● Willingness to travel as needed.
Key Responsibilities
● Collaborate with partners to create product vision, strategy, and roadmap, translating business priorities into sequenced delivery plans. ● Own and manage the product backlog for a single product or major capability—writing clear user stories and acceptance criteria, and prioritizing features based on business value and resource constraints. ● Apply domain expertise to design and develop highly specialized analytics tools and products for niche business areas. ● Provide subject matter expertise to guide the development of complex, business-specific solutions. ● Lead discovery sessions with stakeholders to understand business needs, requirements, and user pain points. ● Regularly update stakeholders on product progress, risks, and upcoming milestones. ● Support training and enablement efforts to ensure successful product adoption. ● Identify delivery risks and work with partners to define mitigation strategies. ● Facilitate cross-functional collaboration to ensure successful feature delivery. ● Conduct market research and competitive analysis to identify strategic opportunities and inform product decisions. ● Analyze product metrics and user feedback to inform prioritization and continuous improvement. ● Build and maintain relationships with vendors, manage integrations, and provide input on buy-vs-build decisions. ● Monitor emerging technologies to identify applications for business problems. ● Coordinate with external partners for outsourced development initiatives. ● Implement and refine product development methodologies to improve delivery processes. AI & Data Specialization This role carries an AI and Data specialization. Depending on assignment, you may also: ● Support delivery of AI-enabled or automation solutions by translating business workflows into clear product requirements. ● Partner with engineering, data, and business stakeholders to define AI use cases, success metrics, and acceptance criteria. ● Assist in evaluating automation opportunities by assessing feasibility, risks, and expected business impact. ● Ensure AI-enabled features align with firm standards, governance, and responsible AI guidelines. ● Monitor performance and adoption of AI-enabled features to inform prioritization and continuous improvement. ● Support delivery of data products or analytics capabilities, including dashboards, reports, or data-driven workflows. ● Demonstrate foundational awareness of machine learning concepts—including LLMs, NLP techniques, and common model types—sufficient to understand how data
- and model-driven capabilities support product requirements and user outcomes. ● Collaborate with Data and Engineering partners to deliver data
- and model-enabled features, incorporating guidance on model behavior, testing considerations, and quality signals into day-to-day product work. ● Translate business questions into well-defined data product features and user stories. ● Support backlog prioritization for data initiatives based on business value, dependencies, and data readiness. ● Use data and analytics to inform product decisions and measure product outcomes. Skills and Experience Qualifications ●English B2+/C1 ● Bachelor’s degree in a relevant field. ● 5–8 years of experience in product management or a closely related role, preferably in a professional services environment. ● Experience owning delivery for a major capability, including backlog management and day-to-day prioritization. ● Strong understanding of product management frameworks and Agile methodologies. ● Experience gathering business requirements and translating them into clear user stories and acceptance criteria. ● Experience creating and maintaining product roadmaps and sequencing work based on business priorities and constraints. ● Demonstrated ability to analyze product metrics and user feedback to inform prioritization and continuous improvement. ● Ability to work effectively with cross-functional teams (design, engineering, operations, change management). ● Strong communication skills, with the ability to manage stakeholders and drive alignment at the product level. ● Familiarity with common product and delivery tools such as Azure DevOps, ServiceNow, Smartsheet, or similar platforms. ● Strong organizational skills and attention to detail. ● Fluent professional English; able to work effectively across LATAM and US time zones and with US-based stakeholders. Preferred Experience ● Professional certifications in one or more domains (Tax, Audit, Advisory, Internal Services). ● Prior experience working within professional services or internal enterprise product environments. ● Exposure to vendor-supported or outsourced development models. ● Experience supporting product adoption and change management for internal users. ● Exposure to analytics, automation, AI, or data-driven solutions applied to business problems. ● Experience working across multiple workstreams or stakeholder groups within a single product area. ● Ability to quickly adapt to new technologies and methodologies. ● Willingness to travel as needed.