Senior Manager - Data - Transformation- & Analytics

Darwinbox Digital Solutions Pvt. Ltd.; India; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Darwinbox Digital Solutions Pvt. Ltd. in India seeks a Senior Manager of HR Transformation & Analytics to lead a portfolio spanning HR transformation, data and analytics, and advanced analytics.

You will translate enterprise HR priorities into digital products, analytics capabilities, intelligent workflows, and AI-enabled tools that drive business outcomes. You will oversee managers of HR Transformation & Innovation Partners, Data & Analytics, and Advanced Analytics/Data Science, ensuring work

Qualifications

• Proven track record leading HR transformation and analytics programs across large organizations.
• Ability to translate HR priorities into digitized, actionable analytics products and workflows.
• Strong governance, program management, and stakeholder alignment.
• Experience with AI-enabled HR solutions and responsible AI governance.

Responsibilities

• Define portfolio priorities and roadmaps across HR transformation and analytics.
• Provide portfolio oversight to ensure work is connected and aligned to enterprise HR goals.
• Translate HR needs into digital products, analytics products, and decision-support capabilities.
• Prepare portfolio updates, executive readouts, and value realization narratives for leadership.
• Guide teams to design transformative digital products, intelligent workflows, and AI-enabled tools.
• Establish intake, discovery, business case development, and adoption planning standards.

Skills

Portfolio leadership

Executive communication

Product and insight orientation

HR processes & analytics lifecycle

Stakeholder management

Governance & value realization

Education

Bachelor's degree in HR, Business, Analytics, Data Science or related field

Tools

Power BI

Tableau

SQL

Workday

SAP SuccessFactors

Databricks

Job description

India ..+ 1

0 - 12 Years

Full Time Employment

Job Description

PositionSummary:

The Senior Manager of HRTransformation & Analytics provides portfolio leadership across HRTransformation, Data & Analytics, and Advanced Analytics and DataScience. This role partners with the VP of HR Transformation & Analyticsto translate enterprise HR priorities into an integrated portfolio oftransformation initiatives, digital products, analytics products, intelligentworkflows, and advanced analytics capabilities that improve businessoutcomes.

The Senior Manageroversees the managers responsible for HR Transformation & InnovationPartners, Data & Analytics, and Advanced Analytics and Data Science. Therole ensures work is prioritized against the highest-value business problems,that products deliver insight and action rather than only data, and thatteams operate with strong governance, delivery discipline, stakeholderalignment, and measurable value creation.

Success in this rolerequires strategic portfolio management, HR business acumen, analyticsfluency, product and transformation leadership, executive communication, andthe ability to lead managers and cross-functional teams through ambiguitywhile building scalable, AI-ready HR capabilities.

Responsibilities:

• Partner with the VP ofHR Transformation & Analytics to define portfolio priorities, operatingmodel direction, investment tradeoffs, roadmap sequencing, and valueexpectations across HR transformation and analytics work.
• Provide portfoliooversight across HR Transformation, Data & Analytics, and AdvancedAnalytics/Data Science to ensure work is connected, non-duplicative, andaligned to enterprise HR goals.
• Translate HRG andenterprise HR needs into a prioritized set of digital products, analyticsproducts, workflow improvements, insights, models, and decision-supportcapabilities.
• Prepare portfolioupdates, executive readouts, decision materials, roadmap summaries, and valuerealization narratives for senior HR and business leadership.
• Guide the HRTransformation & Innovation Partners team in designing transformativedigital products, intelligent workflows, AI-enabled tools, and processimprovements that reduce administrative burden and improve employee, manager,and HR partner experiences.
• Ensure transformationopportunities are evaluated through a clear business-value lens, includingtime saved, cycle-time reduction, quality improvement, adoption, riskreduction, and capacity created for higher-value HR work.
• Establish standards forintake, discovery, business case development, user experience, workflowdesign, adoption planning, and post-launch value tracking.
• Partner with technology,HR operations, change management, data, and product stakeholders to moveinitiatives from concept to sustainable delivery.

Data,Analytics & Insights Product Leadership

• Guide the Data &Analytics team in building trusted reporting, dashboards, scorecards,self-service analytics, and insight products that answer business questionsand enable better HR decisions.
• Shift analytics deliveryfrom data production to insight generation by requiring clear businessquestions, actionable recommendations, stakeholder adoption, and measurabledecision impact.
• Oversee analyticsproduct roadmaps, metric governance, data quality escalation, dashboardrationalization, reporting standards, and stakeholder engagement routines.
• Ensure HR leadersreceive clear insight into workforce trends, operational performance,transformation progress, employee experience, and business risk.

AdvancedAnalytics, Data Science & Model Management

• Provide portfoliooversight for advanced analytics and data science work, including businessinsight generation, hypothesis testing, model development, MLengineering/Ops, model monitoring, and model lifecycle management.
• Ensure advancedanalytics use cases are aligned to practical HR business problems and havedefined value hypotheses, adoption pathways, ethical considerations, andoperational owners.
• Partner with the Managerof Advanced Analytics and Data Science and appropriate data scienceleadership to ensure model priorities, product vision, technical direction,and operating practices are aligned.
• Promote responsible useof AI, machine learning, and predictive insights through appropriategovernance, documentation, validation, explainability, privacy, and riskcontrols.

OperatingModel, Governance & Value Realization

• Establish portfoliogovernance routines for intake, prioritization, resource planning, dependencymanagement, risk review, executive escalation, and delivery performance.
• Define and trackportfolio-level measures of value, including adoption, productivityimprovement, cycle-time reduction, experience improvement, manual-workreduction, decision impact, and business outcome movement.
• Create consistentstandards for product charters, business cases, roadmaps, requirements,analytics definitions, delivery plans, release readiness, and valuerealization reporting.
• Ensure data, analytics,AI, and transformation products comply with internal policies,confidentiality expectations, documentation requirements, and applicablegovernance standards.

PeopleLeadership & Cross-Functional Partnership

• Lead, coach, and developthe managers responsible for HR Transformation & Innovation Partners,Data & Analytics, and Advanced Analytics/Data Science, ensuring each teamhas clear priorities, accountability, and delivery expectations.
• Build a high-performing,collaborative operating rhythm across transformation, analytics, datascience, HR operations, HRG partners, technology, and enterprisestakeholders.
• Resolve cross-teamambiguity, clarify ownership, remove delivery blockers, and create sharedaccountability for outcomes across the portfolio.
• Model a product,insight, and continuous-improvement mindset that prioritizes value creation,measurable outcomes, responsible AI adoption, and scalable delivery.

Education& Experience:

• Bachelor's degree inHuman Resources, Business, Analytics, Data Science, Information Systems,Computer Science, Industrial/Organizational Psychology, or a related field;equivalent experience may be considered.
• Typically 12+ years ofexperience across HR transformation, HR technology, analytics, data products,business intelligence, advanced analytics, data science, digital productdelivery, consulting, shared services, or a related environment.
• 5+ years of experienceleading managers, multi-disciplinary teams, or complex portfolios acrosstransformation, analytics, product, data, technology, or HR operations.
• Experience overseeingportfolio-level roadmaps, prioritization, governance, stakeholder engagement,executive reporting, and value realization.
• Experience leading teamsthat convert HR data and business questions into actionable insights,decision-support products, digital products, automation opportunities, oradvanced analytics solutions.
• Experience partneringwith HR, technology, data, operations, finance, compliance, and businessstakeholders in a matrixed environment.

Must HaveSkills

• Strong portfolioleadership skills with the ability to connect strategy, transformationpriorities, analytics products, advanced analytics use cases, deliveryexecution, and measurable value creation.
• Demonstrated ability tolead managers and multi-disciplinary teams across transformation, data andanalytics, product delivery, and advanced analytics/data science domains.
• Strong executivecommunication skills, including the ability to synthesize complextransformation, analytics, AI, and data science topics into clear decisions,tradeoffs, risks, and recommendations.
• Product and insightorientation, with the ability to ensure teams build capabilities that drivedecisions and outcomes rather than producing disconnected reports or dataextracts.
• Working knowledge of HRprocesses, HR data, analytics lifecycle, dashboarding, data governance, AI/MLconcepts, model management, and digital workflow improvement.
• Strong stakeholdermanagement skills, including the ability to align with the VP of HRTransformation & Analytics and influence HRG, technology, operations,analytics, and executive partners.
• Ability to establishgovernance routines, operating rhythms, prioritization methods, successmetrics, and accountability mechanisms across multiple workstreams.
• Strong judgment inhandling confidential HR data, workforce information, AI-enabled insights,and sensitive business decisions.

Nice toHave Skills

• Master's degree inBusiness, Human Resources, Analytics, Data Science, Information Systems,Healthcare Administration, or a related discipline.
• Experience inhealthcare, enterprise HR, HR shared services, global capability centeroperations, or another highly regulated environment.
• Experience with ERP,HCM, or HR technology implementations such as Workday, Oracle, SAPSuccessFactors, PeopleSoft, ServiceNow, or comparable platforms.
• Experience with BI andanalytics platforms such as Power BI, Tableau, Qlik, SQL, Snowflake,Databricks, Azure, AWS, Google Cloud, or similar tools.
• Exposure to MLengineering/Ops, model governance, responsible AI, predictive analytics,experimentation, or advanced analytics operating models.
• Experience with Agile,product management, Lean, Six Sigma, design thinking, change management, orportfolio management methodologies.

Licenses,Certifications & Training :

• Preferred certificationsmay include PMP, Agile/Scrum, Lean Six Sigma, Prosci, product management,cloud/data certifications, or analytics/data science credentials.

Knowledge,Skills, Abilities, Behaviors:

• Demonstrates executivepresence, business acumen, and sound judgment when advising on portfoliopriorities, investment tradeoffs, and transformation decisions.
• Creates clarity fromambiguity by translating broad HR priorities into structured roadmaps,measurable outcomes, and accountable delivery plans.
• Builds trust with seniorleaders, HRG partners, technology teams, data teams, and cross-functionalstakeholders through clear communication and disciplined follow-through.
• Leads through managersby coaching, prioritizing, delegating, removing barriers, and buildingcapability across teams.
• Uses a value-creationmindset, ensuring data, analytics, digital products, AI tools, and models aretied to business decisions, operational improvement, and HR outcomes.
• Promotes responsible AI,data privacy, ethical analytics, documentation discipline, and appropriategovernance when working with workforce data and AI-enabled products.
• Adapts to changingpriorities while maintaining portfolio discipline, stakeholder alignment, anddelivery accountability.
• Models continuousimprovement, product thinking, customer focus, and innovation whilemaintaining operational rigor and risk awareness.