data sciences director

University of Wisconsin–Madison

<div>Current employees: if you are currently employed at any of the universities of wisconsin, log in to workday to apply through the internal application process.
Job category:
Academic Staff
Employment type:
Regular
Job profile:
Data Science Facilitator I
Job summary:
The WID is seeking an individual to advance the research activities of faculty members, students, and staff in a broad range of scholarly disciplines that would benefit from data science methods.
Facilitators will perform training and community engagement in data science across the UW-Madison campus. More specifically, the Facilitator will consult with researchers on campus to recommend appropriate solutions to data science problems impeding their research, where solution pathways for the researcher will include resources on campus and beyond, including existing learning resources, data management services, computing resources, consultations and collaboration with data science and computational methods experts, identification and pursuit of funding opportunities, and/or pathways for leveraging effort from campus data science teams and associated faculty. The Facilitator will also design workshops and teach existing trainings to help researchers learn data analysis tools and automation that will make their research more scalable and reproducible.
The Facilitator will also collaborate closely with research groups on short term projects; specifically developing workflows, reviewing code, helping with project management, teaching coding and computation skills, and providing other guidance that supports the researcher's work. The successful applicant will gain a wide range of skills at this job and will have the opportunity to work with experts in a range of research areas and data-centric technologies.
This position can be full or part time, between 50-100%.
Key job responsibilities:
15% Formulates reproducible research approaches based on interactions with research teams and contributes to the establishment of reproducible and well-documented research protocols through training and communication activities
35% Designs, develops, and implements training on data science and data science tools
20% Builds community in data science by organizing events and communities of practice
10% Advises researchers on how to organize and prepare data sets for analysis including cleaning/quality assurance, transformations, restructuring, and integration of multiple data sources
10% Advises researchers on how to use data science techniques to find data patterns and answer research questions, such as data visualization, statistical analysis, machine learning, and data mining
10% Advises researchers on how to compose and assemble reproducible workflows and patterns to researchers and/or administrators
Department:
The Wisconsin Institute for Discovery
Compensation:
Minimum $60,000 ANNUAL (12 months)
Depending on Qualifications
This position will receive a comprehensive benefits package, including generous paid time off, competitively priced health/dental/vision/life insurance, and retirement benefits.
Required qualifications:<ul><li>At least two years of experience in a data-and/or compute-intensive area is required. Academic experience does qualify.</li><li>Strong oral and written communication skills, with attention to interpersonal relationships, and professionalism</li><li>Ability to work independently and in a team setting to establish and maintain effective working relationships</li><li>Demonstrate strong abilities in critical analysis and creative problem solving</li><li>Possess a demonstrated interest and prior experience in helping others to elevate their work</li><li>Possess basic skills with tools for data curation, analysis, and/or visualization, including scripting languages, databases, visualization software and/or platforms, use of large-scale computing systems, etc</li></ul>
Preferred qualifications:<ul><li>Highly Preferred: Experience applying data science methods relevant to the biological sciences, social sciences or digital humanities, such as text analysis with natural language processing or network analysis, or geospatial data analysis and visualization</li><li>Prior work as a data scientist (or similar position), whether in industry or academic research contexts</li><li>An appreciation for a range of data-intensive research</li><li>Experience in at least one research domain such as: humanities, social sciences, life or health sciences, physical sciences, or engineering</li><li>Experience and demonstrated interest in education, outreach, mentoring, consulting, and community-building</li><li>Contribution to a Software, Data, or Library Carpentry workshop or other data- or computation-focused training effort(s)</li></ul>
Education:
Required 
Candidates with a bachelor's degree and professional experience will be considered. 
Preferred 
A Master's degree (MS or MA) or higher in a research focused area of study is preferred.
How to apply:
To be considered, applications must be submitted online. Please click on the &quot;Apply Now&quot; button to start the application process. You will be required to upload a cover letter and resume.
Cover letters will be used as a writing sample and to determine the best-qualified applicants. Your cover letter should address your qualifications as they pertain to this position. 
A successful applicant will be responsible for ensuring eligibility for employment in the United States on or before the effective date of the appointment. 
Please note, there is only one attachment field. You must upload all your documents in the attachment field.
Contact information:
Rowan O'Connell: rowan.oconnell@wisc.edu
Institutional statement on diversity:
Diversity is a source of strength, creativity, and innovation for UW-Madison. We value the contributions of each person and respect the profound ways their identity, culture, background, experience, status, abilities, and opinion enrich the university community. We commit ourselves to the pursuit of excellence in teaching, research, outreach, and diversity as inextricably linked goals. 
 
The University of Wisconsin-Madison fulfills its public mission by creating a welcoming and inclusive community for people from every background - people who as students, faculty, and staff serve Wisconsin and the world. 
The University of Wisconsin-Madison is an Equal Opportunity Employer.
Qualified applicants will receive consideration for employment without regard to, including but not limited to, race, color, religion, sex, sexual orientation, national origin, age, pregnancy, disability, or status as a protected veteran and other bases as defined by federal regulations and UW System policies. We promote excellence by acknowledging skills and expertise from all backgrounds and encourage all qualified individuals to apply.
To request a disability or pregnancy-related accommodation for any step in the hiring process (e.g., application, interview, pre-employment testing, etc.), please contact the Divisional Disability Representative (DDR) in the division you are applying to. Please make your request as soon as possible to help the university respond most effectively to you.
Employment may require a criminal background check. It may also require your references to answer questions regarding misconduct, including sexual violence and sexual harassment. 
 
The University of Wisconsin System will not reveal the identities of applicants who request confidentiality in writing, except that the identity of the successful candidate will be released. See Wis. Stat. sec. 19.36(7). 
 
The Annual Security and Fire Safety Report contains current campus safety and disciplinary policies, crime statistics for the previous 3 calendar years, and on-campus student housing fire safety policies and fire statistics for the previous 3 calendar years. UW-Madison will provide a paper copy upon request; please contact the University of Wisconsin Police Department.</div>

Data Science Facilitator

BridgeBio

<div><div><h3 class="jobSectionHeader">Mavericks Wanted</h3> 

When was the last time you achieved the impossible? If that thought feels overwhelming, you might want to pause here, but if it sparks excitement...read on 
 
In 2015, we pioneered a &ldquo;moneyball for biotech&rdquo; approach, pooling projects and promising early-stage research from academia together under one financial umbrella to reduce risk and unleash innovation. This model allows science and small teams of experts to lead the way. We build bridges to groundbreaking advancements in rare disease, and develop life-changing medicines for patients with unmet needs as fast as humanly possible. 
 
Together we define white space, push boundaries and empower people to solve problems. If you're someone who defies convention, join us and work alongside some of the most respected minds in the industry. Together, we'll ask &quot;why not?&quot; and help reengineer the future of biopharma.
<h3 class="jobSectionHeader">
What You'll Do</h3>

We are seeking a visionary Associate Director, Data &amp; Analytics &ndash; Data Engineer/Scientist to join our team of data engineers to shape the enterprise data landscape at our innovative life sciences organization. In this senior leadership role, you will define and execute a holistic data strategy that empowers our pharmaceutical/biotech business &ndash; enabling advanced business intelligence, automating data governance workflows, and supporting cutting-edge predictive modeling initiatives.

Based in San Francisco, CA with a flexible hybrid work arrangement, you will collaborate closely with cross-functional teams (G&amp;A functions, Commercial, Medical, Compliance, and others) to ensure our data architecture and practices drive value, uphold regulatory standards, and ultimately improve patient outcomes. The ideal candidate is an experienced data leader with deep expertise in AI/ML, modern cloud data architectures, and the unique data and compliance needs of the biotech/pharma sector. As a key member of our leadership team, you will influence strategy and foster a data-driven culture aligned with our mission to deliver life-changing therapies.
<h3 class="jobSectionHeader">
Responsibilities</h3>

Data Strategy and Governance:
<ul>
<li>Develop and execute a comprehensive data management and analytics strategy that aligns with organizational goals</li>
<li>Establish and enforce data governance policies, standards, and best practices</li>
<li>Maintain strict compliance with healthcare laws and guidelines (e.g. FDA regulations, GxP, HIPAA) and global data privacy standards (GDPR, CCPA)</li>
</ul>
Master Data Management, Data Quality, and Integration:
<ul>
<li>Define and implement a Master Data Management (MDM) roadmap for the enterprise in collaboration with various business teams</li>
<li>Define data quality standards and implement assurance processes</li>
<li>Facilitate data integration across systems and sources for a unified view of organizational data</li>
<li>Monitor data quality metrics and spearhead efforts to address data issues</li>
<li>Establish capabilities for Data catalog, Metadata Management, and Data Dictionary</li>
<li>Implement data security protocols and access controls to safeguard sensitive data</li>
<li>Conduct regular data audits and risk assessments to ensure compliance</li>
<li>Evaluate and implement modern data technologies, tools, and platforms (cloud services, databases, ETL/ELT tools, analytics and AI platforms) that best fit our needs</li>
<li>Manage relationships with external vendors and data providers, negotiating contracts and ensuring high-quality service for data management, integration, and analytics solutions</li>
</ul>
Data Analytics and Reporting:
<ul>
<li>Lead business intelligence and analytics teams for reporting and advanced analytics</li>
<li>Develop and deliver relevant Key Performance Indicators (KPIs) and Dashboards for various business teams</li>
<li>Ensure data is readily available and accessible for deriving business insights</li>
</ul>
Architecture and Infrastructure:
<ul>
<li>Oversee the design and maintenance of data architectures, including data warehouses, data lakes, and data pipelines</li>
<li>Collaborate with Infrastructure teams to ensure data infrastructure scalability, reliability, and performance</li>
<li>Evaluate and recommend data management technologies and tools</li>
<li>Demonstrate a strong understanding of cloud architecture, security best practices, and cost optimization strategies</li>
<li>Proven experience in managing cloud infrastructure, with a focus on Azure and AWS</li>
<li>Drive the implementation of a &ldquo;single source of truth&rdquo; for all critical data, integrating information across R&amp;D, clinical, commercial, and medical functions</li>
</ul>
AI-Driven Analytics:
<ul>
<li>Leverage artificial intelligence and machine learning to enhance our data capabilities</li>
<li>Enable advanced analytics and business intelligence by implementing AI/ML solutions that automate data cleansing and governance workflows, detect data anomalies, and power predictive modeling for key business outcomes (e.g. forecasting, patient insights)</li>
</ul>
Cross-Functional Collaboration:
<ul>
<li>Partner with departments across the entire organization to understand their data needs and pain points. Prioritize and deliver data solutions that support various functions &ndash; from commercial analytics and medical insights to compliance reporting &ndash; fostering a culture of data-driven innovation across the company</li>
</ul><h3 class="jobSectionHeader">Where You'll Work</h3>

This is a hybrid role and requires in-office collaboration 2-3x per week in our San Francisco Office.
<h3 class="jobSectionHeader">
Who You Are</h3>
<ul><li>Bachelor&rsquo;s degree in Computer Science, Data Science, Information Systems, or related field (Master&rsquo;s or PhD preferred)</li>
<li>7+ years of progressive experience in data strategy, data architecture, analytics, or related fields, with at least 5 years in a leadership role. Industry experience in biotech, pharmaceutical, or healthcare is highly preferred, including familiarity with the unique challenges of regulated data (e.g. clinical data, patient data, commercial pharma data)</li>
<li>Proven expertise in designing and managing modern data architectures and platforms. Hands-on knowledge of cloud-based data technologies (e.g. AWS, Azure, Databricks, Snowflake ecosystems), data warehousing and data lake concepts, data integration/ETL tools, and big data processing frameworks. Experience with business intelligence and analytics tools (e.g. Tableau, Power BI, Spark, Python/R for analytics) and AI/ML frameworks</li>
<li>In-depth understanding of data governance principles and best practices (data quality, MDM, metadata management, data lifecycle)</li>
<li>Experience implementing data governance programs and working with data stewardship councils</li>
<li>Strong background in analytics &ndash; able to guide teams in advanced analytics and oversee the development of predictive models or AI-driven data products</li>
<li>Solid knowledge of data privacy and security regulations relevant to life sciences (such as HIPAA, GDPR, CCPA) and familiarity with compliance standards in pharma/biotech (GxP, 21 CFR Part 11 for data systems, etc.). Demonstrated ability to ensure compliance in all data initiatives</li>
<li>Strategic thinker who can translate business strategy into effective data solutions. Outstanding communication skills &ndash; capable of articulating a vision and complex data concepts in simple terms to influence stakeholders at all levels. Strong cross-functional collaboration abilities to work effectively with commercial, scientific, IT, and compliance teams</li>
<li>Highly analytical and resourceful, with superior problem-solving abilities. Proven project management skills with the ability to oversee multiple initiatives and deliver results in a fast-paced environment. A drive for innovation and continuous improvement, with a &ldquo;roll-up-your-sleeves&rdquo; attitude to tackle challenges</li>
<li>Genuine passion for leveraging data and emerging technologies, such as AI, to advance healthcare and patient outcomes. Alignment with a patient-focused, science-driven culture &ndash; you thrive in an environment that values integrity, innovation, urgency, and collaboration</li>
</ul><h3 class="jobSectionHeader">Rewarding Those Who Make the Mission Possible</h3>

We have high expectations for our team members. We make sure those working hard for patients are rewarded and cared for in return.

Financial Benefits:
<ul>
<li>Market leading compensation</li>
<li>401K with 100% employer match on first 3% &amp; 50% on the next 2%</li>
<li>Employee stock purchase program</li>
<li>Pre-tax commuter benefits</li>
<li>Referral program with $2,500 award for hired referrals</li>
</ul>
Health &amp; Wellbeing:
<ul>
<li>Comprehensive health care with 100% premiums covered - no cost to you and dependents</li>
<li>Mental health support via Spring Health (6 therapy sessions &amp; 6 coaching sessions)</li>
<li>Hybrid work model - employees have the autonomy in where and how they do their work</li>
<li>Unlimited flexible paid time off - take the time that you need</li>
<li>Paid parental leave - 4 months for birthing parents &amp; 2 months for non-birthing parents</li>
<li>Flex spending accounts &amp; company-provided group term life &amp; disability</li>
<li>Subsidized lunch via Forkable on days worked from our office</li>
</ul>
Skill Development &amp; Career Paths:
<ul>
<li>People are part of our growth and success story - from discovery to active drug trials and FDA pipelines, there are endless opportunities for skill development and internal mobility</li>
<li>We provide career pathing through regular feedback, continuous education and professional development programs via LinkedIn Learning, LifeLabs, Spring Health &amp; BetterUp Coaching</li>
<li>We celebrate strong performance with financial rewards, peer-to-peer recognition, and growth opportunities</li>
</ul></div><div><div><div><div><div><div>At BridgeBio, we strive to provide a market-competitive total rewards package, including base pay, an annual performance bonus, company equity, and generous health benefits. Below is the anticipated salary range for candidates for this role who will work in California. The final salary offered to a successful candidate will depend on several factors that may include but are not limited to the type and length of experience within the job, type, and length of experience within the industry, educational background, location of residence and performance during the interview process. BridgeBio is a multi-state employer, and this salary range may not reflect positions based in other states.</div>
</div></div></div>
Salary
$185,000 - $250,000 USD</div></div></div>

Associate Director, Data & Analytics

NSI Talent

<div>
 
 
 Principal / Director &ndash; Data &amp; AI (Telco)
 
 
 
 
 Location:
 
 GCC
 
 
 
 
 
 
 About the Role
 
 
 
 Our client, a global consulting house, is seeking an experienced
 
 Principal / Director
 
 to lead
 
 Data &amp; AI Execution
 
 within the telecommunications sector. This role sits within the firm&rsquo;s Data &amp; Analytics practice and will focus on designing and
 
 implementing
 
 large-scale data transformation programs for leading
 
 telecom operators and digital infrastructure players
 
 across the region.
 
 
 The ideal candidate brings both strategy consulting expertise and hands-on experience driving execution in
 
 telco data platforms, customer analytics, network intelligence, and AI-enabled operational optimization
 
 .
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Lead end-to-end
 
 Data &amp; AI transformation
 
 programs for telecom and digital services clients&mdash;from strategy design through program execution.
 </li>
 <li>
 Advise
 
 C-level
 
 stakeholders on data platform modernization, AI adoption, customer value management, network automation, and data monetization models.
 </li>
 <li>
 Develop and operationalize
 
 data operating models
 
 , enterprise data governance frameworks, and AI deployment roadmaps tailored to telco environments.
 </li>
 <li>
 Oversee delivery teams working across
 
 customer analytics, network analytics, digital channels, marketing technologies, and cloud data platforms
 
 .
 </li>
 <li>
 Drive measurable outcomes such as
 
 revenue uplift, churn reduction, ARPU growth, network cost optimization, and improved customer experience
 
 .
 </li>
 <li>
 Lead proposal development, account expansion, and pipeline growth within key telco accounts.
 </li>
 <li>
 Collaborate with global telecom, AI, and cloud centers of excellence to bring leading practices and accelerators to client engagements.
 </li>
 </ul>
 
 
 
 
 
 Required Experience
 
 
 <ul>
 <li>
 Consulting experience focused on
 
 telecom sector Data &amp; AI programs
 
 (strategy + delivery).
 </li>
 <li>
 Proven ability to translate high-level strategy into
 
 execution roadmaps and implementation governance
 
 .
 </li>
 <li>
 Hands-on advisory experience across:
 </li>
 <li>
 Customer &amp; marketing analytics (CVM, churn, segmentation)
 </li>
 <li>
 Network intelligence / predictive maintenance
 </li>
 <li>
 Data platform modernization / cloud migration
 </li>
 <li>
 AI/ML model deployment and scaling in production
 </li>
 <li>
 Strong commercial acumen: proposal shaping, client relationship development, and revenue management.
 </li>
 <li>
 Demonstrated leadership managing multi-disciplinary teams and scaling delivery capability.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 MBA or Master&rsquo;s degree in Business, Engineering, Computer Science, Data Science, or related field.
 </li>
 <li>
 Exceptional communication and stakeholder engagement skills, especially with senior leadership.
 </li>
 </ul>
 
 
</div>

Data & AI Director - TMT

<div>
 At EY, we&rsquo;re all in to shape your future with confidence.
 
 
 We&rsquo;ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.
 
 
 Join EY and help to build a better working world.
 
 
 
 Job Description
 
 
 
 
 Field Value
 
 
 
 Executive Director - Data &amp; AI Leader, Financial Services
 
 
 
 Position Summary
 
 
 
 We are seeking an experienced Executive Director to lead our Data delivery for a large FS client. The ideal candidate will possess extensive knowledge of Data Engineering, Management and applications and demonstrate a strong background in managing large scale data support services. This leadership role requires a strategic thinker with a proven track record of successfully running large-scale projects, typically involving 100-200 resources, across various sectors.
 
 
 
 Essential Functions Of The Job
 
 
 
 <ul>
 <li>
 Lead the strategy, growth, delivery and operations of the Account Delivery for Data practice within the GDS - Technology Consulting service line
 </li>
 <li>
 Demonstrating strong innovation and technology acumen to establish credibility with regional / sector and accounts leaders across the globe
 </li>
 <li>
 Drive Transformation in Service Operations byleveraging Innovative/Agentic AI solutions
 </li>
 <li>
 Strong Financial Acumen &amp; Contract Management with a focus on profitable delivery and Contractual Service Levels committments
 </li>
 <li>
 Drive Business Value in service operations by influencing, proposing &amp; delivering innovative data solutions
 </li>
 <li>
 Designing and executing the blueprint for the delivery of the account.
 </li>
 <li>
 Building a unique brand for EY around the Data and ramp up capability across GDS locations including India, Philippines, Spain, Mexico, Poland and future locations.
 
 
 </li>
 </ul>
 
 Analytical/Decision Making Responsibilities
 
 
 
 <ul>
 <li>
 Define and execute data delivery strategy aligned with client objectives.
 </li>
 <li>
 Evaluate and implement innovative AI-driven service operations.
 </li>
 <li>
 Analyze financial metrics to ensure profitable, SLA-compliant delivery.
 </li>
 <li>
 Assess cross-functional data solutions for business impact and scalability.
 </li>
 <li>
 Make strategic decisions on global capability expansion and talent ramp- up.
 </li>
 <li>
 Help recruit employees; assign, direct, and evaluate their work; and oversee the development and management of staff competence.
 
 
 </li>
 </ul>
 
 Education
 
 
 
 
 Education &amp; Experience
 
 
 
 
 Qualification:
 
 BE/B Tech/ ME/M Tech/MBA/MCA.
 
 
 25+ years of experience in leading and delivering large scale complex Global Data Engagements (Team sizes - 150+, TCV &gt;100 MUSD)
 
 
 
 Knowledge And Skills Requirements
 
 
 
 <ul>
 <li>
 Demonstrating strong data engineering technology acumen and support services
 </li>
 <li>
 Strong Practice Building experience &emsp;
 </li>
 <li>
 Should understand the various products, platforms, and offerings of the business with special emphasis on the cloud data engineering suite of Products
 
 
 </li>
 </ul>
 
 EY | Building a better working world
 
 
 
 EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
 
 
 Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
 
 
 EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
</div>

Executive Director - Data & AI Leader, Financial Services

Morgan Stanley

<div>We're seeking someone to join our team as Datawarehousing Engineer with hands-on experience in Python, Apache Spark or Similar, Snowflake, No SQL , graph database and dbt to join our growing data team.
CDRR_Technology
The Cybersecurity organization's mission is to create an agile, adaptable organization with the skills and expertise needed to defend against increasingly sophisticated adversaries. This will be achieved by maintaining sound capabilities to identify and protect our assets, proactively assessing threats and vulnerabilities and detecting events, ensuring resiliency through our ability to respond to and recover from incidents and building awareness and increase vigilance while continually developing our cyber workforce.
Tech Risk Gov &amp; Controls (TRGC)
TRGC provides governance and oversight of Risk across Technology by engaging with internal and external clients, including regulators, to help better identify, manage, mitigate and communicate risk posture.
Software Engineering
This is Director position that develops and maintains software solutions that support business needs.
Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals.
 
 
At Morgan Stanley India, we support the Firm's global businesses, with critical presence across Institutional Securities, Wealth Management, and Investment management, as well as in the Firm's infrastructure functions of Technology, Operations, Finance, Risk Management, Legal and Corporate &amp; Enterprise Services. Morgan Stanley has been rooted in India since 1993, with campuses in both Mumbai and Bengaluru. We empower our multi-faceted and talented teams to advance their careers and make a global impact on the business. For those who show passion and grit in their work, there's ample opportunity to move across the businesses for those who show passion and grit in their work.
 
 
Interested in joining a team that's eager to create, innovate and make an impact on the world? Read on_
What you'll do in the role:
You will be responsible for building scalable data pipelines, transforming data for analytics and reporting, and ensuring high data quality across the organization.
 
This role is ideal for someone who thrives in a fast-paced environment and is passionate about delivering high-impact data solutions.
What you'll bring to the role:
<ul><li>At least 4 years' relevant experience would generally be expected to find the skills required for this role
</li><li>Experience as a Data Engineer or in a similar role.
</li><li>Proficient in languages like Python, used for scripting, ETL processes, and data manipulation and optimizations.
</li><li>Acquainted with implementing and consuming webservices and restful services.
</li><li>Skilled in Apache Spark (especially PySpark) or equivalent.
</li><li>Hands-on experience with Snowflake, including schema design, data loading, performance tuning, warehouse optimization, and access control.
</li><li>Experience with workflow orchestration tools like Airflow, Dagster, or similar.
</li><li>Solid understanding and hands-on experience with dbt for data transformation and modelling.
</li><li>Strong SQL skills and knowledge of data modelling techniques (star/snowflake schema, normalization).
</li><li>Monitor data pipeline health, ensure data quality, and troubleshoot data issues.
</li><li>Familiarity with Git, CI/CD, and version control best practices.
</li><li>Excellent problem-solving, communication, and collaboration skills.
</li><li>Familiarity with data governance, metadata management, or data catalog tools is added advantage.
</li><li>Experience in design and implementing rest api's .
</li></ul>Required:
<ul><li>6+ years of experience as a Data Engineer or in a similar role.
</li><li>Proficient in languages like Python, used for scripting, ETL processes, and data manipulation and optimizations.
</li><li>Acquainted with implementing and consuming webservices and restful services.
</li><li>Skilled in Apache Spark (especially PySpark) or equivalent.
</li><li>Hands-on experience with Snowflake, including schema design, data loading, performance tuning, warehouse optimization, and access control.
</li><li>Experience with workflow orchestration tools like Airflow, Dagster, or similar.
</li><li>Solid understanding and hands-on experience with dbt for data transformation and modelling.
</li><li>Strong SQL skills and knowledge of data modelling techniques (star/snowflake schema, normalization).
</li><li>Monitor data pipeline health, ensure data quality, and troubleshoot data issues.
</li><li>Familiarity with Git, CI/CD, and version control best practices.
</li><li>Excellent problem-solving, communication, and collaboration skills.
</li><li>Familiarity with data governance, metadata management, or data catalog tools is added advantage.
</li></ul>WHAT YOU CAN EXPECT FROM MORGAN STANLEY:
We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren&rsquo;t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you&rsquo;ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There&rsquo;s also ample opportunity to move about the business for those who show passion and grit in their work.
To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-officesinto your browser.
Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.</div>

Data Engineer_Director_Data & Analytics Engineering

<div>Line of Service
Advisory
Industry/Sector
Not Applicable
Specialism
Data, Analytics &amp; AI
Management Level
Director
Job Description &amp; Summary
At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.
 
 
In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.
*Why PWC
At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us .
At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm&rsquo;s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. &quot;
Job Description :
As a Director of Data Science &amp; AI, you will lead our initiatives to harness the power of advanced data science methodologies, machine learning, and Generative AI to drive innovation and business transformation. You will play a key role in both pre-sales activities and delivery management, ensuring that solutions not only meet client expectations but also achieve desired business outcomes. Your expertise in cloud environments (AWS, Azure, GCP) and on-premises solutions will be vital as you guide our teams in architecting scalable, high-performance systems.
Responsibilities:
Leadership and Strategy:
<ul><li>Develop and execute a comprehensive data science and AI strategy that aligns with the organization&rsquo;s business goals.
</li></ul><ul><li>Lead and mentor a high-performing team of data scientists, machine learning engineers, and AI specialists.
</li></ul>Pre-Sales Engagement:
<ul><li>Collaborate with sales teams during the pre-sales process to articulate the value of data science and AI solutions, tailoring presentations and demonstrations to client needs.
</li></ul><ul><li>Identify opportunities for deploying data science and AI solutions that address client challenges and drive business value, contributing to proposal development and responses to RFPs.
</li></ul>Expertise in Data Science and Machine Learning:
<ul><li>Oversee the design and implementation of data science applications and machine learning models to solve complex business problems.
</li></ul><ul><li>Advocate for the adoption of advanced analytics capabilities, including supervised and unsupervised learning techniques.
</li></ul>Generative AI and Agentic AI:
<ul><li>Drive initiatives focusing on Generative AI and agentic AI, exploring innovative use cases that can enhance business processes and customer experiences.
</li></ul><ul><li>Lead efforts to evaluate and integrate emerging AI technologies that maintain a competitive edge.
</li></ul>Cloud and On-Premise Solutions:
<ul><li>Architect and oversee the deployment of data science solutions that operate seamlessly across cloud platforms (AWS, Azure, GCP) and on-premises infrastructures.
</li></ul><ul><li>Collaborate with IT and engineering teams to ensure the successful implementation and integration of data science solutions while adhering to data governance and security standards.
</li></ul>Delivery Management and Excellence:
<ul><li>Take ownership of project delivery, ensuring that data science and AI initiatives are implemented on time, within budget, and meet or exceed quality standards.
</li></ul><ul><li>Monitor project progress and client satisfaction, making necessary adjustments to optimize outcomes.
</li></ul>Talent Development and Team Management:
<ul><li>Mentor and coach team members to foster professional growth, promote continuous learning, and encourage a culture of innovation and collaboration.
</li></ul><ul><li>Drive recruitment efforts, attracting diverse talent to enhance the capabilities of the data science and AI team.
</li></ul>Performance Measurement and Reporting:
<ul><li>Prepare and present regular project and performance reports to executive leadership, detailing progress, resource allocation, and direction for future initiatives.
</li></ul>Mandatory Skill Sets:
<ul><li>Proven expertise in Data Science and Machine Learning.
</li></ul><ul><li>Strong knowledge of Generative AI and agentic AI techniques.
</li></ul><ul><li>Proficient in cloud platforms (AWS, Azure, GCP) and on-premises data solutions.
</li></ul><ul><li>Experience in pre-sales activities, including proposal development and client presentations.
</li></ul>Preferred Skill Sets:
<ul><li>Familiarity with big data technologies (e.g., Hadoop, Spark).
</li></ul><ul><li>Prior experience in delivering scalable machine learning models and solutions.
</li></ul>Years of Experience Required:
14+ years in data science, machine learning, and AI, with a significant portion in a leadership role that includes pre-sales and delivery management.
Education Qualification:
Master&rsquo;s degree or postgraduate degree in Data Science. An engineering background is preferred
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Master Degree
Degrees/Field of Study preferred:
Certifications (if blank, certifications not specified)
Required Skills
Data science and analytics
Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Applied Macroeconomics, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Coaching and Feedback, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy {+ 36 more}
Desired Languages (If blank, desired languages not specified)
Travel Requirements
Available for Work Visa Sponsorship?
Government Clearance Required?
Job Posting End Date</div>

IN-Director_Data Scientist + Gen AI_D&A_Advisory_Bangalore

Infoblox

<div><div><div>At Infoblox, every breakthrough begins with a bold &ldquo;what if.&rdquo;
 
What if your ideas could ignite global innovation?
 
What if your curiosity could redefine the future?
</div><div>We invite you to step into the next exciting chapter of your career journey. Bring your creativity, drive, your daring spirit, and feel what it&rsquo;s like to thrive on a team big enough to make an impact, yet small enough to make a difference. Our cloud-first networking and security solutions already protect 70% of the Fortune 500 , and we&rsquo;re looking for creative thinkers ready to push that influence even further. Join us and discover how far your bold &ldquo;what if&rdquo; can take the world, your community, and your career.
</div><div>How we empower our people is extraordinary: we&rsquo;re recognized as a Glassdoor Best Place to Work 2025, Great Place to Work-Certified in five countries, and honored by Cigna as a Healthy Workforce honors for three consecutive years ; and what we build is world class: named CybersecAsia&rsquo;s Best in Critical Infrastructure 2024 &mdash; clear evidence that when first-class technology meets empowered talent, remarkable careers take shape. So, what if the next big idea, and the next great career story, comes from you? Become the force that turns every &ldquo;what if&rdquo; into &ldquo;what&rsquo;s next.&rdquo;
</div><div>In a world where you can be anything, Be Infoblox . 
</div><div>Senior Director, Data Science
</div><div>We have an opportunity for a visionary Senior Director of Data Science to lead our enterprise-wide AI and data science strategy, with a strong focus on generative AI and large language models (LLMs). Reporting VP, Data &amp; AI, this senior-level role will collaborate closely with engineers, product managers and oversee geo-disbursed data science teams, drive innovation across product lines, and partner with senior leadership to embed AI into the core of our networking and cybersecurity solutions. The ideal candidate excels at managing remote, senior-level data scientists and fostering a high-performing distributed team culture. You will be instrumental in shaping the future of AI at our company, fostering a culture of excellence, experimentation, and impact. 
</div><div>Be a Contributor - What You'll Do
</div><div><ul><li>Drive the strategic roadmap for AI, ML, and generative AI initiatives across the organization. Focus on high-impact opportunities that align with business goals and deliver measurable value
</li><li>Cultivate and lead high-performing, remote-first data science teams. Promote collaboration, innovation, and continuous learning across distributed environments
</li><li>Design and implement advanced AI solutions using LLMs (e.g., GPT, Claude, Gemini) to enhance automation, threat detection, and predictive analytics
</li><li>Ensure robust, secure, and scalable deployment of AI models across cloud platforms (AWS, Azure, GCP) using modern MLOps practices
</li><li>Partner with Product, Engineering, Security, and Business teams to integrate AI into products and workflows, solving real-world challenges
</li><li>Engage with external AI communities, academic institutions, and industry leaders to position the company at the forefront of innovation
</li>Implement governance frameworks that ensure ethical AI development, including bias mitigation, transparency, and regulatory compliance 
<li>
</li></ul></div><div>Be Prepared - What You'll Bring
</div><div><ul><li>Over 10 years of experience in data science, AI, or related fields, including 5+ years in senior leadership roles. A proven ability to scale teams and deliver enterprise AI solutions, with a strong track record of managing remote senior-level data scientists
</li><li>Deep technical expertise in Python, ML frameworks, big data technologies (Spark, Kafka), and cloud-native AI deployment. Strong proficiency in LLMs, NLP, and neural networks
</li><li>Ability to translate complex business needs into actionable AI strategies. Experience leading transformation initiatives through data-driven decision-making and innovation
</li><li>Experience deploying models in cloud environments using MLOps tools (MLflow, Kubeflow, CI/CD pipelines), and managing containerized workflows with Docker and Kubernetes
</li><li>Domain knowledge in networking, cybersecurity, and cloud infrastructure. Insights from experience in threat intelligence or secure networking
</li><li>Bachelor's degree in Computer Science, Data Science, or a related field, with a preference for candidates with a Master's or Ph.D.
</li><li>Clear communication of technical concepts to executive stakeholders and the ability to influence strategic decisions across the organization
</li>A track record of delivering innovative AI solutions from concept to production, consistently achieving measurable business impact 
<li>
</li></ul></div><div>Be successful &ndash; Your Path
</div></div><div><div>First 90 Days
</div><div>Immerse yourself in our culture, connect with mentors (Blox Buddies), map the systems, and meet with key stakeholders who rely on your work. Collaboratively define short- and long-term goals to align with business priorities and team capabilities.
</div><div>Six Months
</div><div>Deliver initial AI-driven features or models into production, establish strong cross-functional partnerships, and demonstrate early strategic impact through measurable outcomes.
</div><div>One Year
</div><div>Scale AI capabilities across the organization, integrate generative AI and LLM-powered innovations into our offerings, and build a high-performing, remote-first data science team recognized for excellence and innovation. 
</div><div>Belong&mdash; Your Community
</div><div>Our culture thrives on inclusion, rewarding the bold ideas, curiosity, and creativity that move us forward. In a community where every voice counts, continuous learning is the norm. So, whether you code, create, sell, or care for customers, you&rsquo;ll grow and belong here. 
</div><div>Be Rewarded &mdash; Benefits That Help You Grow, Thrive, Belong
</div><div><ul><li>Comprehensive health coverage, generous PTO, and flexible work options
</li><li>Learning opportunities, career-mobility programs, and leadership workshops
</li><li>Sixteen paid volunteer hours each year, global employee resource groups, and a &ldquo;No Jerks&rdquo; policy that keeps collaboration healthy
</li><li>Modern offices with EV charging, healthy snacks (and the occasional cupcake), plus hackathons, game nights, and culture celebrations
</li><li>Charitable Giving Program supported by Company Match
</li>We practice pay transparency and reward performance. Offers reflect role location, internal equity, experience, skills, education, and certifications. Base salary for this position: $234,700.00 - $365,310.00 
<li>
</li></ul></div><div>Ready to Be the Difference? 
</div><div>Infoblox is an Affirmative Action and Equal Opportunity Employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis 
</div><div>#LI-EC1
</div><div>#LI-Hybrid</div></div></div>

Senior Director, Data Science

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