Principal Consultant | Project Lead - AI

We need to output HTML fragment with sections only if content present. Use

for headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We must not repeat job title. We need to extract content. Given posting: includes Reports To, Department, Location, then description about company, then Job Summary, Key Responsibilities, Leadership & Engagement Expectations, Required Qualifications, then disclaimer etc. We need to remove boilerplate: cookie/navigation/legal/EEO etc. Also remove application instructions, social media links, privacy policy, etc. Also remove "Disclaimer:" etc. Also remove "Please Note:" etc. Also remove "Want to learn more..." etc. We need to preserve substantive information: company description? Might be considered part of About the role? The instruction: use

for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). So we need to map content to these headings. We have: - About the role: could be Job Summary + maybe company overview? The posting includes "Job Summary" paragraph. Also there is introductory description about Evalueserve. That could be considered "About the role" or maybe not needed. But we need to include substantive info. The instruction: include a section ONLY when posting has real, specific content for it. So we can create About the role section containing the Job Summary and maybe company overview? But we should not invent. The company overview is generic but present. It's substantive. Could be part of About the role. - Responsibilities: Key Responsibilities bullet list. - Requirements: maybe Leadership & Engagement Expectations? Or Required Qualifications? The headings list includes Requirements and Qualifications separate. Usually Requirements = mandatory, Qualifications = preferred? But we have Required Qualifications. Could map Required Qualifications to Qualifications section. Requirements could be Leadership & Engagement Expectations? Or maybe we treat Leadership & Engagement Expectations as Requirements (soft skills). We'll decide. - Skills: maybe not explicitly listed; we could omit if no specific skills beyond those in qualifications. But we have skills like communication, stakeholder management, analytical problem-solving. Could be placed under Skills. - Benefits, Pay, Schedule: not present (no mention). So we should NOT create those sections. Thus we will output sections: About the role, Responsibilities, Requirements, Qualifications, Skills. We need to use

• for any list of duties/requirements/benefits. For prose use

  . We need to preserve all substantive information, not invent or summarize away detail. So we need to keep details like years of experience, specific technologies, etc. Let's extract content. Company overview paragraph: "Evalueserve is a leading global company that develops innovative and sustainable solutions for a wide range of clients, including more than 30% of the Fortune 500 companies. With presence in more than 45 countries across five continents, we excel in leveraging state-of-the-art technology, domain-specific AI solutions, and deep subject matter expertise to elevate our clients' strategic decision-making and business impact. Our clients include Amazon, Deutsche Bank, Johnson & Johnson, McDonald's, Microsoft, Morgan Stanley, Nestlé, Novo Nordisk, and Procter & Gamble. We have 5,000+ talented professionals operating across 45 countries, including India, China, Chile, Romania, the US, and Canada. Our global network also extends to emerging markets such as Colombia, the Middle East and the rest of Asia-Pacific. Recognized by Great Place to Work in India, Chile, Romania, the US, and the UK, we offer a dynamic, growth-oriented, and open culture that prioritizes flexible work-life balance, diverse and inclusive teams, and equal opportunities for all." We can keep that as prose under About the role. Job Summary: "We are seeking a Project Lead with strong engagement management and analytics capabilities to lead AI transformation initiatives. This role combines requires one to partner with senior stakeholders to design and implement AI-enabled operating models while delivering measurable business outcomes across global organizations. You will work directly with client stakeholders to decompose and analyze complex procurement processes, define future-state operating models, assess process and data quality, and prepare workflows for AI-enabled automation. Partnering closely with AI engineers, DevOps teams, and full-stack developers, you will help transform enterprise workflows into scalable, agentic AI-driven processes while supporting organizational adoption through structured change management initiatives. The position is highly client-facing and involves frequent collaboration with senior leaders at leading industrial, manufacturing, and other complex enterprise organizations." We can combine with company overview or separate? Probably About the role includes both. Key Responsibilities bullet list: - Define future-state operating models integrating AI, analytics, and automation strategies. - Provide strategic thought leadership in analytics, including data-driven decision-making and process optimization. - Engage with senior client stakeholders and executives to drive transformation roadmaps and business value realization. - Collaborate with cross-functional teams including AI engineers, data scientists, and product teams. - Lead change management and adoption initiatives across enterprise programs. - Translate complex business problems into clear, actionable insights and executive-level presentations. - Drive continuous improvement initiatives with measurable operational and financial impact. Leadership & Engagement Expectations (maybe Requirements): - High-energy, self-starter with strong ownership mindset and results orientation. - Ability to simplify complex concepts into clear strategic insights. - Collaborative leadership style with strong interpersonal and influencing skills. - Experience driving business change through technology investments and process improvements. - Ability to balance strategic vision with hands-on execution. Required Qualifications (maybe Qualifications): - 8–15 years of experience in managing and delivery projects around Data Science. - Experience leading actionable insights initiatives leveraging with a variety of analytics techniques including machine learning, GenAI and deep learning. - Understanding of databases and cloud technologies such as AWS, GCP, Azure, Oracle, SQL, Hadoop, Redshift, Hana. - Experience leading enterprise transformation, process consulting, and workflow redesign initiatives. - Strong understanding of AI/ML-driven business processes and digital transformation. - Demonstrated ability to influence and engage senior executives. - Strong communication, stakeholder management, and problem-solving skills. - Experience working in global, cross-functional environments. - Excellent communication, stakeholder management, and analytical problem-solving skills. - Willingness to travel 25–50% based on client skills. Note there is duplication: "Strong communication, stakeholder management, and problem-solving skills." and "Excellent communication, stakeholder management, and analytical problem-solving skills." We'll keep both as separate items? Might be redundant but we must preserve all substantive information; we can keep both. Skills section: maybe we can extract skills like communication, stakeholder management, analytical problem-solving, influencing, etc. But we already have them in qualifications. Could still create Skills section with those. However we risk duplication. The instruction: Prefer a few substantive sections over many thin ones. Might be better to not create Skills if content overlaps heavily with Qualifications. But we could still create Skills with the soft skills: communication, stakeholder management, analytical problem-solving, influencing, etc. However we already have them in qualifications. Might be okay to omit Skills section if not explicitly called out. The posting does not have a separate "Skills" heading. So we should not create a Skills section unless there is real specific content for it. The skills are embedded in qualifications; but we could still create a Skills section listing them. However that would be inventing a section not present. The instruction: "include a section ONLY when the posting has real, specific content for it — never emit a heading followed by filler/placeholder text". It doesn't forbid creating a section if we have content, even if not originally headed. But we should avoid creating thin sections. The skills are present; we could create a Skills section with bullet list of skills: communication, stakeholder management, analytical problem-solving, influencing, etc. However many of those are already in qualifications; duplication may be okay but could be considered thin. I'd lean to not create Skills section to avoid duplication and keep few sections. Thus sections: About the role, Responsibilities, Requirements (Leadership & Engagement Expectations), Qualifications (Required Qualifications). We'll not include Benefits, Pay, Schedule. Now format. About the role: combine company overview and job summary into prose paragraphs. Could be two

  elements. Responsibilities:

  • each. Requirements:
    • each. Qualifications:
      • each. Make sure not to include boilerplate like Reports To, Department, Location. Those are metadata; we can drop them per instruction: "do NOT put Job ID / requisition numbers as headings — fold minor metadata into a short

        or drop it." So we can drop Reports To, Department, Location. Also remove disclaimer, note, social media, privacy policy, etc. Now produce HTML fragment. Let's craft. About the role:

        Evalueserve is a leading global company that develops innovative and sustainable solutions for a wide range of clients, including more than 30% of the Fortune 500 companies. With presence in more than 45 countries across five continents, we excel in leveraging state-of-the-art technology, domain-specific AI solutions, and deep subject matter expertise to elevate our clients' strategic decision-making and business impact. Our clients include Amazon, Deutsche Bank, Johnson & Johnson, McDonald's, Microsoft, Morgan Stanley, Nestlé, Novo Nordisk, and Procter & Gamble. We have 5,000+ talented professionals operating across 45 countries, including India, China, Chile, Romania, the US, and Canada. Our global network also extends to emerging markets such as Colombia, the Middle East and the rest of Asia-Pacific. Recognized by Great Place to Work in India, Chile, Romania, the US, and the UK, we offer a dynamic, growth-oriented, and open culture that prioritizes flexible work-life balance, diverse and inclusive teams, and equal opportunities for all.

        We are seeking a Project Lead with strong engagement management and analytics capabilities to lead AI transformation initiatives. This role combines requires one to partner with senior stakeholders to design and implement AI-enabled operating models while delivering measurable business outcomes across global organizations. You will work directly with client stakeholders to decompose and analyze complex procurement processes, define future-state operating models, assess process and data quality, and prepare workflows for AI-enabled automation. Partnering closely with AI engineers, DevOps teams, and full-stack developers, you will help transform enterprise workflows into scalable, agentic AI-driven processes while supporting organizational adoption through structured change management initiatives. The position is highly client-facing and involves frequent collaboration with senior leaders at leading industrial, manufacturing, and other complex enterprise organizations.

        Responsibilities:
        • Define future-state operating models integrating AI, analytics, and automation strategies.
        • Provide strategic thought leadership in analytics, including data-driven decision-making and process optimization.
        • Engage with senior client stakeholders and executives to drive transformation roadmaps and business value realization.
        • Collaborate with cross-functional teams including AI engineers, data scientists, and product teams.
        • Lead change management and adoption initiatives across enterprise programs.
        • Translate complex business problems into clear, actionable insights and executive-level presentations.
        • Drive continuous improvement initiatives with measurable operational and financial impact.
        Requirements (Leadership & Engagement Expectations):
        • High-energy, self-starter with strong ownership mindset and results orientation.
        • Ability to simplify complex concepts into clear strategic insights.
        • Collaborative leadership style with strong interpersonal and influencing skills.
        • Experience driving business change through technology investments and process improvements.
        • Ability to balance strategic vision with hands-on execution.
        Qualifications (Required Qualifications):
        • 8–15 years of experience in managing and delivery projects around Data Science.
        • Experience leading actionable insights initiatives leveraging with a variety of analytics techniques including machine learning, GenAI and deep learning.
        • Understanding of databases and cloud technologies such as AWS, GCP, Azure, Oracle, SQL, Hadoop, Redshift, Hana.
        • Experience leading enterprise transformation, process consulting,