Manager - Advanced Analytics & DS

Darwinbox Digital Solutions Pvt. Ltd.; India; On-site; INR 1,800,000 - 3,400,000; Full time

Job summary

Darwinbox Digital Solutions Pvt. Ltd. is seeking a Sr. Manager, HR Transformation & Analytics to lead a multidisciplinary team delivering insights, advanced analytics, and predictive solutions for HR priorities.

You will provide people leadership, prioritize work, and partner with stakeholders to ensure scalable, governable analytics that drive strategic decisions across HR and workforce initiatives.

Qualifications

• Bachelor's degree in a related field; 6+ years analytics/BI/data science experience.
• Experience leading analytics or data science teams and projects.
• Strong communication, storytelling, and executive-ready presentation skills.
• Experience in HR analytics, workforce analytics, or transformation reporting preferred.

Responsibilities

• Lead and develop a multidisciplinary team of analysts and data scientists across levels.
• Set priorities and development goals aligned to business objectives.
• Provide coaching, feedback, and career guidance; support hiring and performance management.
• Ensure governance, quality, and responsible AI standards across outputs.
• Partner with HR leaders, product owners, and technology teams to translate needs into analytics work.
• Oversee delivery of dashboards, performance reviews, and predictive models.

Skills

People leadership

Team management across analysts & data

Stakeholder management

Analytical storytelling

Mentoring & coaching

Project prioritization

Matrix collaboration

Education

Bachelor's degree in Business, CS, ML, Data Analytics, Statistics, Engineering, Economics or related field

Tools

SQL

Python

R

Tableau/Power BI

Job description

Sr. Manager, HR Transformation & Analytics

Matrix reports to (Title):

As applicable based on HR Transformation &Analytics portfolio, platform, product, or functional alignment

Direct Reports:

Business Insights Analysts, Senior BusinessInsights Analysts, Consulting Business Insights Analysts, Data Scientists,Senior Data Scientists, and/or Principal Data Scientists

Created / Last Revised:

-

Job Code:

-

Position Summary:

The Manager - Advanced Analytics & DataAnalyticsleads a multidisciplinary team responsible for deliveringclear insights, advanced analytics, predictive solutions, and executive-readyrecommendations in support of HR transformation and workforce businesspriorities.

This role provides people leadership, workprioritization, analytical oversight, and stakeholder partnership across aportfolio of reporting, insight generation, statistical analysis, machinelearning, experimentation, and decision-support work. The Manager isaccountable for ensuring the team produces high-quality, well-governed,actionable work that helps leaders understand what is happening, why itmatters, and what actions should be considered.

This role partners with business stakeholders,technology teams, product owners, and governance partners to identifypriority needs, translate them into analytical work, and ensure delivery ofsolutions that are accurate, scalable, and aligned to business goals

Responsibilities:

• Lead, coach, and develop a team ofanalysts and data scientists across multiple experience levels
• Set expectations, priorities, anddevelopment goals aligned to business and organizational objectives.
• Provide regular feedback, mentoring,and career guidance to strengthen team capability.
• Support hiring, onboarding, performancemanagement, and succession planning for the function.
• Create a culture of accountability,collaboration, analytical rigor, and continuous improvement.
• Balance team capacity and assign workto match skills, priorities, and delivery timelines.

Strategic Partnership & Prioritization

• Partner with HR leaders, businessstakeholders, product owners, technology teams, and governance partners toidentify priority needs and translate them into analytical work.
• Help define the right problem, clarifydecision points, and align stakeholders on scope, success measures, andexpected outcomes.
• Serve as a trusted advisor by framingtrade-offs, interpreting findings, and recommending practical next steps.
• Influence prioritization across theportfolio to ensure the team is focused on the highest-value opportunities.

Analytical Oversight & Delivery

• Oversee the delivery of insightnarratives, dashboards, recurring performance reviews, scorecards,statistical analyses, predictive models, and other analytical products.
• Ensure team outputs are accurate,documented, reproducible, and appropriate for the intended audience and usecase.
• Review complex work for methodologicalsoundness, business relevance, clarity, and readiness for stakeholder use.
• Guide the team in selecting appropriateanalytical methods, data sources, tools, and storytelling approaches.
• Support the translation of findingsinto decisions, recommendations, and measurable actions.

Data Science & Business Insights Leadership

• Provide oversight across both businessinsights and data science workstreams, ensuring the team can move fromdescriptive reporting to advanced analytics and modeling when appropriate.
• Encourage strong partnership betweenanalysts, data scientists, business stakeholders, data engineers, andgovernance partners.
• Support the development andoperationalization of analytical solutions, including model monitoring,feedback loops, and adoption support.
• Promote reusable frameworks, templates,playbooks, and standards that improve consistency and maturity across thefunction.

Governance, Quality & Responsible AI

• Establish and reinforce standards fordocumentation, peer review, data quality, analytical rigor, and modelgovernance.
• Ensure appropriate use of data, withattention to privacy, security, compliance, and responsible handling ofsensitive information.
• Promote sound AI practices, includingvalidation of AI-assisted outputs, human review, and responsible use ofapproved tools.
• Ensure analytical and AI-enabled workis explainable, transparent, bias-aware, and appropriate for businessdecision-making.
• Identify and mitigate risks related todata limitations, model assumptions, stakeholder interpretation, andoperational readiness.

Communication & Executive Presence

• Prepare and deliver clear, concise,business-relevant updates for senior stakeholders and leadership.
• Translate technical findings intopractical business language and actionable recommendations.
• Communicate progress, risks,dependencies, and issue resolution clearly and proactively.
• Build confidence with stakeholdersthrough credibility, responsiveness, and sound judgment.

AI Preparedness Expectations:

• Uses approved AI tools to accelerateplanning, synthesis, documentation, quality review, analysis support, andstakeholder materials while validating outputs before use.
• Identifies appropriate AI augmentationopportunities within assigned workstreams and helps the team adopt safe,practical, and repeatable AI-enabled practices.
• Reviews AI-assisted outputs foraccuracy, bias, completeness, privacy risk, governance alignment, andbusiness context before release or recommendation.
• Builds deeper capability in AI-enabledanalytics, workflow automation, decision support, and human-in-the-loopreview

Education & Experience:

• Bachelor's degree in Business, ComputerScience, Machine Learning, Data Analytics, Statistics, Engineering,Economics, or a related field; equivalent experience may be considered.
• Typically 6+ years of experience inanalytics, business intelligence, data science, consulting, healthcareanalytics, operations analytics, or a related field.
• Experience leading people, projects, orcross-functional analytics initiatives required.
• Experience mentoring analysts, datascientists, or technical professionals strongly preferred.
• Experience presenting recommendationsand analytical findings to senior leaders preferred.
• Healthcare, workforce, operational,transformation, or enterprise analytics experience preferred.

Must Have Skills

• Strong people leadership, coaching, andtalent development skills.
• Ability to manage a blended team ofanalysts and data scientists across multiple levels.
• Strong business acumen and the abilityto connect analytics to operational and strategic priorities.
• Excellent communication and stakeholdermanagement skills.
• Ability to review and guide work acrossreporting, statistical analysis, forecasting, machine learning, and insightgeneration.
• Strong understanding of data quality,analytical methods, model evaluation, and responsible AI principles.
• Proficiency with SQL, Python, R, andanalytics or visualization tools such as Tableau, Power BI, or similarplatforms.
• Ability to manage competing prioritiesin a fast-paced, matrixed environment.
• Commitment to data integrity,confidentiality, compliance, and practical business impact.

Nice to Have Skills

• Experience leading both businessinsights and data science functions within a shared analytics organization.
• Experience building standards,templates, playbooks, or operating models for a growing analytics team.
• Experience advising executive or seniorleadership audiences on complex workforce, HR, analytics, product,technology, process, or transformation decisions.
• Experience with HR analytics, workforceplanning, talent analytics, employee listening, transformation reporting, oroperational performance management.
• Experience with advanced analytics,experimentation, forecasting, machine learning, model governance, orAI-enabled decision support.
• Prior experience in healthcare, regulatedenvironments, or enterprise analytics teams.

Licenses, Certifications & Training:

• Preferred: role-relevant certification,analytics platform training, data governance training, or Agile deliverytraining, as applicable.
• Preferred: Responsible AI, dataprivacy, data security, or HR data handling training.

Knowledge, Skills, Abilities, Behaviors:

• Provides coaching, feedback, anddevelopment guidance that helps team members grow in capability, confidence,and accountability.
• Prioritizes work effectively, delegatesappropriately, and balances team capacity against competing business demandsand deadlines.
• Builds trust and alignment withstakeholders by clarifying expectations, resolving conflicts, and drivingtimely decision-making.
• Supports hiring, onboarding,performance management, and succession planning to strengthen team depth andcontinuity.
• Creates an environment ofaccountability, collaboration, and high performance through clear goals,regular check-ins, and follow-through.
• Identifies capability gaps anddevelopment needs within the team and takes action to strengthen skills,ownership, and delivery quality.
• Translates broader business objectivesinto clear team priorities, measurable outcomes, and actionable plans.
• Leads by example in fosteringadaptability, engagement, and continuous improvement across people, process,and delivery.
• Demonstrates curiosity, ownership, andsound judgment when working with HR data, systems, processes, andstakeholders.
• Communicates status, assumptions,risks, and limitations clearly without overstating what the data, process, ortechnology can support.
• Works collaboratively across HR,technology, analytics, product, operations, and transformation partners in amatrixed environment.
• Protects confidential HR and workforceinformation and follows internal privacy, security, data governance, andcompliance expectations.
• Maintains documentation discipline,change awareness, customer focus, and continuous improvement mindset whilebalancing multiple priorities.