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Director, AI Strategy

Hbap Fa Us1 Oraclecloud Com CX 1 · Waltham, MA, United States · Hybrid · Active · $220,000–$250,000 / week · Oracle Recruiting Cloud / Fusion HCM

Job facts

FieldValue
CompanyHbap Fa Us1 Oraclecloud Com CX 1
TitleDirector, AI Strategy
Normalized title-
Department / teamCorporate Functions
LocationWaltham, MA, United States
Work modelHybrid / Hybrid
Employment typeFull Time
Salary$220,000–$250,000 / week
Statusactive
ATS providerOracle Recruiting Cloud / Fusion HCM
Posted / first seen2026-02-12 / 2026-05-31
Changed / last seen2026-05-31 / 2026-06-21

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Linked records

CompanyHbap Fa Us1 Oraclecloud Com CX 1
Sourcec9a1af55-d1aa-41d7-bb8e-0bf8dc082d85
ATS providerOracle Recruiting Cloud / Fusion HCM

Description

Description Position Summary As Director, AI Strategy for the INDIGO AI Innovation Lab, you will serve as the enterprise thought partner and catalyst for responsible, high‑value AI adoption across functional areas such as Commercial, R&D, and Operations. You will co‑create business‑led AI roadmaps, size value opportunities, establish and run enterprise AI governance processes, and lead broad enablement processes so colleagues can confidently and safely use internal and external AI tools. You will collaborate closely with functional AI topic leads and the INDIGO program manager, while building an AI strategy team as the function matures. This role operates at the Director level and requires a blend of strategic acumen, governance expertise, AI knowledge, and strong communication that translates AI potential into measurable business impact. This role will work a weekly hybrid schedule in our Waltham office. Responsibilities Essential Areas of Responsibility AI Business Strategy & Portfolio Prioritization Partner with senior leaders in Commercial, R&D, and Operations to identify strategic focus areas for AI, articulate problem statements, and shape multi‑year, outcome‑oriented AI roadmaps that are aligned with functional-area and organizational strategic priorities Build and maintain an enterprise AI opportunity portfolio: size value, cost, timing, and risks; define stage‑gates; recommend sequencing and investment trade‑offs Assess the external AI landscape (technology, vendors, regulations, talent) and translate trends into actionable, business‑relevant recommendations Contribute to the definition of emerging success metrics (adoption, outcomes, ROI) and establish consistent reporting on impact for prioritized initiatives Enterprise AI Governance Define, operationalize, and continuously improve enterprise processes to assess and manage AI risk across data, ethics, quality, regulatory, perceptual, and individual domains Evolve and Chair cross‑functional review workflows that bring the right SMEs (e.g., Legal, Compliance, Medical, QA, IT) together quickly to make accurate risk determinations and enable delivery Own the development, socialization, and lifecycle management of AI policies, standards, and SOPs; align with existing QMS/IT controls and enterprise governance forums Establish procedures for model and tool validation, change control, monitoring, and decommissioning; ensure efficient synergy with quality processes, traceability, and audit readiness as appropriate AI Education & Evangelism Partner with L&D to design and deliver enterprise education that raises AI literacy and skills, including safe use of internal tools and third‑party systems Create role‑based enablement (e.g., field, clinical, manufacturing) and an “AI champions” network to drive adoption and feedback loops Publish practical guidance on prompt hygiene, data handling, intellectual property, and regulated‑use considerations; maintain an internal AI knowledge hub Track adoption, sentiment, and value realization; iterate programs based on measurable outcomes Leadership Grow the cross-functional discipline of AI strategy and governance by working with internal and contracted teammates across AI, PMO, Legal, IT, Quality, and other key business functions Cultivate a culture of inclusion, curiosity, and accountability within the INDIGO AI Innovation Lab Qualifications Basic Qualifications: Minimum Education & Experience Requirements: MS, PhD, or equivalent in a relevant field with 10+ years in AI/ML/Data Science/Analytics or BS with 15+ years related experience Deep experience driving organizational strategy and associated change management such as in management consulting or an internal strategy function 10+ years working in pharmaceutical, biotechnology, or similar life sciences industry with experience across multiple functional areas. Technical Knowledge/Skills: Deep conceptual expertise across AI (ML, GenAI, NLP) and enterprise governance: frameworks, risk lenses, validation/monitoring, measurement of value Strong familiarity with the pharma/biopharma context (e.g., data privacy, GxP, medical/legal/regulatory review, patient safety) Ability to assess external AI tools/platforms and vendor ecosystems; translate tech trends into pragmatic business options Proficiency collaborating with Data Science, Engineering, Product, Legal/Compliance, and IT to balance innovation with safety, cost, and scale Competencies : Experience in executive-stakeholder management, and ability to rapidly translate between technical requirements and domain-specific terminology, influence functional policies and approaches Ability to work in cross-functional teams and influence outcomes Effective in accomplishing multi-quarter and multi-year goals by working through others Experience influencing and mentoring junior team members as an informal leader Preferred Qualifications: Personal Attributes: Self‑starter who thrives in ambiguity; strong ownership and follow‑through Skilled at business engagement and balancing evolving priorities; proactive communicator with excellent executive‑level writing and presentation skills Demonstrated ability to multitask across departments and vendor partners; willingness to learn new tools and approaches Commitment to a culture of inclusion and belonging. Ability to work 2–3 days/week in our Waltham office The annual base salary for this position ranges from $220,000 to $250,000. In addition, this position is eligible for an annual performance pay bonus. Exact compensation may vary based on skills, training, knowledge, and experience. Alkermes offers a competitive benefits package. Additional details can be found on our careers website: www.alkermes.com/careers#working-here #LI-TS1

Full job record

Job ID9251e85dca3d43a2355f2a33c131a873bac5a642
Org IDd831e3c2-6a79-44af-a2cf-903b76ab4731
Source IDc9a1af55-d1aa-41d7-bb8e-0bf8dc082d85
Board IDc9a1af55-d1aa-41d7-bb8e-0bf8dc082d85
Provideroracle_hcm
Provider Job Key13844
TitleDirector, AI Strategy
Normalized Title—
Statusactive
Activeyes
Location TextWaltham, MA, United States
DepartmentCorporate Functions
Team—
Employment Typefull_time
Workplace Typehybrid
Remote Policyhybrid
CountryUnited States
RegionMA
CityWaltham
Salary RawDescription Position Summary As Director, AI Strategy for the INDIGO AI Innovation Lab, you will serve as the enterprise thought partner and catalyst for responsible, high‑value AI adoption across functional areas such as Commercial, R&D, and Operations. You will co‑create business‑led AI roadmaps, size value opportunities, establish and run enterprise AI governance processes, and lead broad enablement processes so colleagues can confidently and safely use internal and external AI tools. You will collaborate closely with functional AI topic leads and the INDIGO program manager, while building an AI strategy team as the function matures. This role operates at the Director level and requires a blend of strategic acumen, governance expertise, AI knowledge, and strong communication that translates AI potential into measurable business impact. This role will work a weekly hybrid schedule in our Waltham office. Responsibilities Essential Areas of Responsibility AI Business Strategy & Portfolio Prioritization Partner with senior leaders in Commercial, R&D, and Operations to identify strategic focus areas for AI, articulate problem statements, and shape multi‑year, outcome‑oriented AI roadmaps that are aligned with functional-area and organizational strategic priorities Build and maintain an enterprise AI opportunity portfolio: size value, cost, timing, and risks; define stage‑gates; recommend sequencing and investment trade‑offs Assess the external AI landscape (technology, vendors, regulations, talent) and translate trends into actionable, business‑relevant recommendations Contribute to the definition of emerging success metrics (adoption, outcomes, ROI) and establish consistent reporting on impact for prioritized initiatives Enterprise AI Governance Define, operationalize, and continuously improve enterprise processes to assess and manage AI risk across data, ethics, quality, regulatory, perceptual, and individual domains Evolve and Chair cross‑functional review workflows that bring the right SMEs (e.g., Legal, Compliance, Medical, QA, IT) together quickly to make accurate risk determinations and enable delivery Own the development, socialization, and lifecycle management of AI policies, standards, and SOPs; align with existing QMS/IT controls and enterprise governance forums Establish procedures for model and tool validation, change control, monitoring, and decommissioning; ensure efficient synergy with quality processes, traceability, and audit readiness as appropriate AI Education & Evangelism Partner with L&D to design and deliver enterprise education that raises AI literacy and skills, including safe use of internal tools and third‑party systems Create role‑based enablement (e.g., field, clinical, manufacturing) and an “AI champions” network to drive adoption and feedback loops Publish practical guidance on prompt hygiene, data handling, intellectual property, and regulated‑use considerations; maintain an internal AI knowledge hub Track adoption, sentiment, and value realization; iterate programs based on measurable outcomes Leadership Grow the cross-functional discipline of AI strategy and governance by working with internal and contracted teammates across AI, PMO, Legal, IT, Quality, and other key business functions Cultivate a culture of inclusion, curiosity, and accountability within the INDIGO AI Innovation Lab Qualifications Basic Qualifications: Minimum Education & Experience Requirements: MS, PhD, or equivalent in a relevant field with 10+ years in AI/ML/Data Science/Analytics or BS with 15+ years related experience Deep experience driving organizational strategy and associated change management such as in management consulting or an internal strategy function 10+ years working in pharmaceutical, biotechnology, or similar life sciences industry with experience across multiple functional areas. Technical Knowledge/Skills: Deep conceptual expertise across AI (ML, GenAI, NLP) and enterprise governance: frameworks, risk lenses, validation/monitoring, measurement of value Strong familiarity with the pharma/biopharma context (e.g., data privacy, GxP, medical/legal/regulatory review, patient safety) Ability to assess external AI tools/platforms and vendor ecosystems; translate tech trends into pragmatic business options Proficiency collaborating with Data Science, Engineering, Product, Legal/Compliance, and IT to balance innovation with safety, cost, and scale Competencies : Experience in executive-stakeholder management, and ability to rapidly translate between technical requirements and domain-specific terminology, influence functional policies and approaches Ability to work in cross-functional teams and influence outcomes Effective in accomplishing multi-quarter and multi-year goals by working through others Experience influencing and mentoring junior team members as an informal leader Preferred Qualifications: Personal Attributes: Self‑starter who thrives in ambiguity; strong ownership and follow‑through Skilled at business engagement and balancing evolving priorities; proactive communicator with excellent executive‑level writing and presentation skills Demonstrated ability to multitask across departments and vendor partners; willingness to learn new tools and approaches Commitment to a culture of inclusion and belonging. Ability to work 2–3 days/week in our Waltham office The annual base salary for this position ranges from $220,000 to $250,000. In addition, this position is eligible for an annual performance pay bonus. Exact compensation may vary based on skills, training, knowledge, and experience. Alkermes offers a competitive benefits package. Additional details can be found on our careers website: www.alkermes.com/careers#working-here #LI-TS1
Salary Min220,000
Salary Max250,000
Salary CurrencyUSD
Salary Periodweek
Source URLhttps://hbap.fa.us1.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/13844
Apply URLhttps://hbap.fa.us1.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/13844
First Seen At2026-05-31 18:10:58Z
Last Seen At2026-06-21 12:58:29Z
Last Checked At2026-06-21 12:58:29Z
Last Changed At2026-05-31 18:10:58Z
Inactive At—
Source Posted At2026-02-12 20:55:31Z
Source Updated At—
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=oracle_hcm/board=hbap.fa.us1.oraclecloud.com|CX_1/date=2026-06-21/2026-06-21T12-58-22-534Z-46d9ea5b9320b8fb3a895bc57fc742cdef574f819a7eb1f25a9ed3e6ceb04743.json
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translate tech trends into pragmatic business options</span></li><li style=\"color:#212121;tab-stops:list .5in;\"><span style=\"border:none windowtext 1.0pt;font-size:11.5pt;line-height:107%;padding:0in;\">Proficiency collaborating with Data Science, Engineering, Product, Legal/Compliance, and IT to balance innovation with safety, cost, and scale</span></li></ul><p>&nbsp;</p><p style=\"margin-bottom:0in;\"><i><span style=\"border:none windowtext 1.0pt;font-size:12.0pt;line-height:107%;padding:0in;\" lang=\"EN\">Competencies</span></i><span style=\"border:none windowtext 1.0pt;font-size:12.0pt;line-height:107%;padding:0in;\" lang=\"EN\"><strong>:</strong></span><span style=\"color:#212121;\"><i><span style=\"border:none windowtext 1.0pt;font-size:11.5pt;line-height:107%;padding:0in;\"><strong>&nbsp;&nbsp;&nbsp;&nbsp;</strong></span></i></span></p><ul style=\"list-style-type:disc;\"><li style=\"background-color:white;color:#212121;line-height:normal;margin-bottom:6.0pt;tab-stops:list .5in;vertical-align:baseline;\"><span style=\"font-size:11.5pt;\">Experience in executive-stakeholder management, and ability to rapidly translate between technical requirements and domain-specific terminology, influence functional policies and approaches</span></li><li style=\"background-color:white;color:#212121;line-height:normal;margin-bottom:6.0pt;tab-stops:list .5in;vertical-align:baseline;\"><span style=\"font-size:11.5pt;\">Ability to work in cross-functional teams and influence outcomes</span></li><li style=\"background-color:white;color:#212121;line-height:normal;margin-bottom:6.0pt;tab-stops:list .5in;vertical-align:baseline;\"><span style=\"font-size:11.5pt;\">Effective in accomplishing multi-quarter and multi-year goals by working through others</span></li><li style=\"background-color:white;color:#212121;line-height:normal;margin-bottom:6.0pt;tab-stops:list .5in;vertical-align:baseline;\"><span style=\"font-size:11.5pt;\">Experience influencing and mentoring junior team members as an informal leader</span></li></ul><p style=\"background-color:white;line-height:normal;margin-bottom:0in;vertical-align:baseline;\">&nbsp;</p><p style=\"background-color:white;line-height:normal;margin:0in 0in 0in .5in;vertical-align:baseline;\">&nbsp;</p><p style=\"background-color:white;line-height:normal;margin-bottom:0in;vertical-align:baseline;\"><span style=\"color:#212121;\"><span style=\"border:none windowtext 1.0pt;font-size:11.5pt;padding:0in;\"><strong>Preferred Qualifications:</strong></span></span></p><p style=\"background-color:white;line-height:normal;margin-bottom:0in;vertical-align:baseline;\"><span style=\"color:#212121;\"><i><span style=\"border:none windowtext 1.0pt;font-size:11.5pt;padding:0in;\">Personal Attributes:</span></i></span></p><ul style=\"list-style-type:disc;\"><li><p style=\"line-height:15.0pt;margin-bottom:6.0pt;tab-stops:list .5in;\"><span style=\"font-family:&quot;Segoe UI&quot;,sans-serif;\"><span style=\"font-size:10.5pt;\">Self‑starter who thrives in ambiguity; strong ownership and follow‑through&nbsp;</span></span></p></li><li><p style=\"line-height:15.0pt;margin-bottom:6.0pt;tab-stops:list .5in;\"><span style=\"font-family:&quot;Segoe UI&quot;,sans-serif;\"><span style=\"font-size:10.5pt;\">Skilled at business engagement and balancing evolving priorities; proactive communicator with excellent executive‑level writing and presentation skills&nbsp;</span></span></p></li><li><p style=\"line-height:15.0pt;margin-bottom:6.0pt;tab-stops:list .5in;\"><span style=\"font-family:&quot;Segoe UI&quot;,sans-serif;\"><span style=\"font-size:10.5pt;\">Demonstrated ability to multitask across departments and vendor partners; willingness to learn new tools and approaches&nbsp;</span></span></p></li><li><p style=\"line-height:15.0pt;margin-bottom:6.0pt;tab-stops:list .5in;\"><span style=\"font-family:&quot;Segoe UI&quot;,sans-serif;\"><span style=\"font-size:10.5pt;\">Commitment to a culture of inclusion and belonging. Ability to work <strong>2–3 days/week</strong> in our Waltham office</span></span></p></li></ul><p style=\"line-height:15.0pt;margin-bottom:6.0pt;tab-stops:list .5in;\">&nbsp;</p><p style=\"font-family:Calibri;font-size:11.0pt;margin:0in;\">The annual base salary for this position ranges from $220,000 to $250,000. In addition, this position is eligible for an annual performance pay bonus. &nbsp;Exact compensation may vary based on skills, training, knowledge, and experience. Alkermes offers a competitive benefits package. &nbsp;Additional details can be found on our careers website:&nbsp;<a href=\"http://www.alkermes.com/careers\">www.alkermes.com/careers#working-here</a></p><p style=\"font-family:Calibri;font-size:11.0pt;margin:0in;\">&nbsp;</p><p style=\"font-family:Calibri;font-size:11.0pt;margin:0in;\">&nbsp;</p><p style=\"font-family:Calibri;font-size:11.0pt;margin:0in;\">#LI-TS1</p><p style=\"background-color:white;line-height:normal;margin-bottom:12.0pt;vertical-align:baseline;\">&nbsp;</p><p style=\"background-color:white;line-height:normal;margin-bottom:12.0pt;text-align:center;vertical-align:baseline;\">&nbsp;</p>",
    "InternalQualificationsStr": "<p style=\"background-color:white;line-height:normal;margin-bottom:0in;vertical-align:baseline;\"><span style=\"color:#212121;\"><span style=\"border:none windowtext 1.0pt;font-size:11.5pt;padding:0in;\"><strong>Basic Qualifications:</strong></span></span></p><p style=\"margin-bottom:0in;\"><span style=\"color:#212121;\"><i><span style=\"border:none windowtext 1.0pt;font-size:11.5pt;line-height:107%;padding:0in;\">Minimum Education &amp; Experience Requirements:</span></i></span></p><ul style=\"list-style-type:disc;\"><li><span style=\"color:#212121;\"><span style=\"border:none windowtext 1.0pt;font-size:11.5pt;line-height:107%;padding:0in;\">MS, PhD, or equivalent in a relevant field with <strong>10+ years</strong> in AI/ML/Data Science/Analytics <strong>or</strong> BS with <strong>15+ years</strong> related experience</span></span></li><li><span style=\"color:#212121;\"><span style=\"border:none windowtext 1.0pt;font-size:11.5pt;line-height:107%;padding:0in;\">Deep experience driving organizational strategy and associated change management such as in management consulting or an internal strategy function</span></span></li><li><span style=\"color:#212121;\"><span style=\"border:none windowtext 1.0pt;font-size:11.5pt;line-height:107%;padding:0in;\">10+ years working in pharmaceutical, biotechnology, or similar life sciences industry with experience across multiple functional areas. &nbsp;</span></span></li></ul><p>&nbsp;</p><p style=\"margin-bottom:0in;\"><span style=\"color:#212121;\"><i><span style=\"border:none windowtext 1.0pt;font-size:11.5pt;line-height:107%;padding:0in;\">Technical Knowledge/Skills:</span></i></span></p><ul style=\"list-style-type:disc;\"><li style=\"color:#212121;margin-bottom:6.0pt;tab-stops:list .5in;\"><span style=\"border:none windowtext 1.0pt;font-size:11.5pt;line-height:107%;padding:0in;\">Deep conceptual expertise across AI (ML, GenAI, NLP) <strong>and</strong> enterprise governance: frameworks, risk lenses, validation/monitoring, measurement of value</span></li><li style=\"color:#212121;margin-bottom:6.0pt;tab-stops:list .5in;\"><span style=\"border:none windowtext 1.0pt;font-size:11.5pt;line-height:107%;padding:0in;\">Strong familiarity with the pharma/biopharma context (e.g., data privacy, GxP, medical/legal/regulatory review, patient safety)&nbsp;</span></li><li style=\"color:#212121;margin-bottom:6.0pt;tab-stops:list .5in;\"><span style=\"border:none windowtext 1.0pt;font-size:11.5pt;line-height:107%;padding:0in;\">Ability to assess external AI tools/platforms and vendor ecosystems; translate tech trends into pragmatic business options</span></li><li style=\"color:#212121;tab-stops:list .5in;\"><span style=\"border:none windowtext 1.0pt;font-size:11.5pt;line-height:107%;padding:0in;\">Proficiency collaborating with Data Science, Engineering, Product, Legal/Compliance, and IT to balance innovation with safety, cost, and scale</span></li></ul><p>&nbsp;</p><p style=\"margin-bottom:0in;\"><i><span style=\"border:none windowtext 1.0pt;font-size:12.0pt;line-height:107%;padding:0in;\" lang=\"EN\">Competencies</span></i><span style=\"border:none windowtext 1.0pt;font-size:12.0pt;line-height:107%;padding:0in;\" lang=\"EN\"><strong>:</strong></span><span style=\"color:#212121;\"><i><span style=\"border:none windowtext 1.0pt;font-size:11.5pt;line-height:107%;padding:0in;\"><strong>&nbsp;&nbsp;&nbsp;&nbsp;</strong></span></i></span></p><ul style=\"list-style-type:disc;\"><li style=\"background-color:white;color:#212121;line-height:normal;margin-bottom:6.0pt;tab-stops:list .5in;vertical-align:baseline;\"><span style=\"font-size:11.5pt;\">Experience in executive-stakeholder management, and ability to rapidly translate between technical requirements and domain-specific terminology, influence functional policies and approaches</span></li><li style=\"background-color:white;color:#212121;line-height:normal;margin-bottom:6.0pt;tab-stops:list .5in;vertical-align:baseline;\"><span style=\"font-size:11.5pt;\">Ability to work in cross-functional teams and influence outcomes</span></li><li style=\"background-color:white;color:#212121;line-height:normal;margin-bottom:6.0pt;tab-stops:list .5in;vertical-align:baseline;\"><span style=\"font-size:11.5pt;\">Effective in accomplishing multi-quarter and multi-year goals by working through others</span></li><li style=\"background-color:white;color:#212121;line-height:normal;margin-bottom:6.0pt;tab-stops:list .5in;vertical-align:baseline;\"><span style=\"font-size:11.5pt;\">Experience influencing and mentoring junior team members as an informal leader</span></li></ul><p style=\"background-color:white;line-height:normal;margin-bottom:0in;vertical-align:baseline;\">&nbsp;</p><p style=\"background-color:white;line-height:normal;margin:0in 0in 0in .5in;vertical-align:baseline;\">&nbsp;</p><p style=\"background-color:white;line-height:normal;margin-bottom:0in;vertical-align:baseline;\"><span style=\"color:#212121;\"><span style=\"border:none windowtext 1.0pt;font-size:11.5pt;padding:0in;\"><strong>Preferred Qualifications:</strong></span></span></p><p style=\"background-color:white;line-height:normal;margin-bottom:0in;vertical-align:baseline;\"><span style=\"color:#212121;\"><i><span style=\"border:none windowtext 1.0pt;font-size:11.5pt;padding:0in;\">Personal Attributes:</span></i></span></p><ul style=\"list-style-type:disc;\"><li><p style=\"line-height:15.0pt;margin-bottom:6.0pt;tab-stops:list .5in;\"><span style=\"font-family:&quot;Segoe UI&quot;,sans-serif;\"><span style=\"font-size:10.5pt;\">Self‑starter who thrives in ambiguity; strong ownership and follow‑through&nbsp;</span></span></p></li><li><p style=\"line-height:15.0pt;margin-bottom:6.0pt;tab-stops:list .5in;\"><span style=\"font-family:&quot;Segoe UI&quot;,sans-serif;\"><span style=\"font-size:10.5pt;\">Skilled at business engagement and balancing evolving priorities; proactive communicator with excellent executive‑level writing and presentation skills&nbsp;</span></span></p></li><li><p style=\"line-height:15.0pt;margin-bottom:6.0pt;tab-stops:list .5in;\"><span style=\"font-family:&quot;Segoe UI&quot;,sans-serif;\"><span style=\"font-size:10.5pt;\">Demonstrated ability to multitask across departments and vendor partners; willingness to learn new tools and approaches&nbsp;</span></span></p></li><li><p style=\"line-height:15.0pt;margin-bottom:6.0pt;tab-stops:list .5in;\"><span style=\"font-family:&quot;Segoe UI&quot;,sans-serif;\"><span style=\"font-size:10.5pt;\">Commitment to a culture of inclusion and belonging. Ability to work <strong>2–3 days/week</strong> in our Waltham office</span></span></p></li></ul><p style=\"line-height:15.0pt;margin-bottom:6.0pt;tab-stops:list .5in;\">&nbsp;</p><p style=\"font-family:Calibri;font-size:11.0pt;margin:0in;\">The annual base salary for this position ranges from $220,000 to $250,000. In addition, this position is eligible for an annual performance pay bonus. &nbsp;Exact compensation may vary based on skills, training, knowledge, and experience. Alkermes offers a competitive benefits package. &nbsp;Additional details can be found on our careers website:&nbsp;<a href=\"http://www.alkermes.com/careers\">www.alkermes.com/careers#working-here</a></p><p style=\"font-family:Calibri;font-size:11.0pt;margin:0in;\">&nbsp;</p><p style=\"font-family:Calibri;font-size:11.0pt;margin:0in;\">&nbsp;</p><p style=\"font-family:Calibri;font-size:11.0pt;margin:0in;\">#LI-TS1</p><p style=\"background-color:white;line-height:normal;margin-bottom:12.0pt;vertical-align:baseline;\">&nbsp;</p><p style=\"background-color:white;line-height:normal;margin-bottom:12.0pt;text-align:center;vertical-align:baseline;\">&nbsp;</p>",
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    "ExternalResponsibilitiesStr": "<p style=\"background-color:white;line-height:normal;margin-bottom:0in;vertical-align:baseline;\"><strong>Essential Areas of Responsibility</strong></p><p style=\"background-color:white;line-height:normal;margin-bottom:0in;vertical-align:baseline;\"><i>AI Business Strategy &amp; Portfolio Prioritization</i></p><ul style=\"list-style-type:disc;\"><li style=\"background-color:white;color:#212121;line-height:normal;margin-bottom:6.0pt;tab-stops:list .5in;vertical-align:baseline;\">Partner with senior leaders in Commercial, R&amp;D, and Operations to identify strategic focus areas for AI, articulate problem statements, and shape multi‑year, outcome‑oriented AI roadmaps that are aligned with functional-area and organizational strategic priorities</li><li style=\"background-color:white;color:#212121;line-height:normal;margin-bottom:6.0pt;tab-stops:list .5in;vertical-align:baseline;\">Build and maintain an enterprise AI opportunity portfolio: size value, cost, timing, and risks; 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align with existing QMS/IT controls and enterprise governance forums</li><li style=\"background-color:white;color:#212121;line-height:normal;margin-bottom:6.0pt;tab-stops:list .5in;vertical-align:baseline;\">Establish procedures for model and tool validation, change control, monitoring, and decommissioning; ensure efficient synergy with quality processes, traceability, and audit readiness as appropriate</li></ul><p><i>AI Education &amp; Evangelism</i></p><ul style=\"list-style-type:disc;\"><li style=\"background-color:white;color:#212121;line-height:normal;margin-bottom:6.0pt;tab-stops:list .5in;vertical-align:baseline;\">Partner with L&amp;D to design and deliver enterprise education that raises AI literacy and skills, including safe use of internal tools and third‑party systems</li><li style=\"background-color:white;color:#212121;line-height:normal;margin-bottom:6.0pt;tab-stops:list .5in;vertical-align:baseline;\">Create role‑based enablement (e.g., field, clinical, manufacturing) and an “AI champions” network to drive adoption and feedback loops</li><li style=\"background-color:white;color:#212121;line-height:normal;margin-bottom:6.0pt;tab-stops:list .5in;vertical-align:baseline;\">Publish practical guidance on prompt hygiene, data handling, intellectual property, and regulated‑use considerations; maintain an internal AI knowledge hub</li><li style=\"background-color:white;color:#212121;line-height:normal;margin-bottom:6.0pt;tab-stops:list .5in;vertical-align:baseline;\">Track adoption, sentiment, and value realization; iterate programs based on measurable outcomes</li></ul><p><i>Leadership</i></p><ul style=\"list-style-type:disc;\"><li style=\"background-color:white;color:#212121;line-height:normal;margin-bottom:6.0pt;tab-stops:list .5in;vertical-align:baseline;\">Grow the cross-functional discipline of AI strategy and governance by working with internal and contracted teammates across AI, PMO, Legal, IT, Quality, and other key business functions</li><li style=\"background-color:white;color:#212121;line-height:normal;margin-bottom:6.0pt;tab-stops:list .5in;vertical-align:baseline;\">&nbsp;Cultivate a culture of inclusion, curiosity, and accountability within the INDIGO AI Innovation Lab</li></ul><p style=\"background-color:white;line-height:normal;margin-bottom:0in;vertical-align:baseline;\">&nbsp;</p><p style=\"background-color:white;line-height:normal;margin-bottom:0in;vertical-align:baseline;\">&nbsp;</p>",
    "InternalResponsibilitiesStr": "<p style=\"background-color:white;line-height:normal;margin-bottom:0in;vertical-align:baseline;\"><strong>Essential Areas of Responsibility</strong></p><p style=\"background-color:white;line-height:normal;margin-bottom:0in;vertical-align:baseline;\"><i>AI Business Strategy &amp; Portfolio Prioritization</i></p><ul style=\"list-style-type:disc;\"><li style=\"background-color:white;color:#212121;line-height:normal;margin-bottom:6.0pt;tab-stops:list .5in;vertical-align:baseline;\">Partner with senior leaders in Commercial, R&amp;D, and Operations to identify strategic focus areas for AI, articulate problem statements, and shape multi‑year, outcome‑oriented AI roadmaps that are aligned with functional-area and organizational strategic priorities</li><li style=\"background-color:white;color:#212121;line-height:normal;margin-bottom:6.0pt;tab-stops:list .5in;vertical-align:baseline;\">Build and maintain an enterprise AI opportunity portfolio: size value, cost, timing, and risks; define stage‑gates; recommend sequencing and investment trade‑offs</li><li style=\"background-color:white;color:#212121;line-height:normal;margin-bottom:6.0pt;tab-stops:list .5in;vertical-align:baseline;\">Assess the external AI landscape (technology, vendors, regulations, talent) and translate trends into actionable, business‑relevant recommendations&nbsp;</li><li style=\"background-color:white;color:#212121;line-height:normal;margin-bottom:6.0pt;tab-stops:list .5in;vertical-align:baseline;\">Contribute to the definition of emerging success metrics (adoption, outcomes, ROI) and establish consistent reporting on impact for prioritized initiatives</li></ul><p><i>Enterprise AI Governance</i></p><ul style=\"list-style-type:disc;\"><li style=\"background-color:white;color:#212121;line-height:normal;margin-bottom:6.0pt;tab-stops:list .5in;vertical-align:baseline;\">Define, operationalize, and continuously improve enterprise processes to assess and manage AI risk across data, ethics, quality, regulatory, perceptual, and individual domains</li><li style=\"background-color:white;color:#212121;line-height:normal;margin-bottom:6.0pt;tab-stops:list .5in;vertical-align:baseline;\">Evolve and Chair cross‑functional review workflows that bring the right SMEs (e.g., Legal, Compliance, Medical, QA, IT) together quickly to make accurate risk determinations and enable delivery</li><li style=\"background-color:white;color:#212121;line-height:normal;margin-bottom:6.0pt;tab-stops:list .5in;vertical-align:baseline;\">Own the development, socialization, and lifecycle management of AI policies, standards, and SOPs; align with existing QMS/IT controls and enterprise governance forums</li><li style=\"background-color:white;color:#212121;line-height:normal;margin-bottom:6.0pt;tab-stops:list .5in;vertical-align:baseline;\">Establish procedures for model and tool validation, change control, monitoring, and decommissioning; ensure efficient synergy with quality processes, traceability, and audit readiness as appropriate</li></ul><p><i>AI Education &amp; Evangelism</i></p><ul style=\"list-style-type:disc;\"><li style=\"background-color:white;color:#212121;line-height:normal;margin-bottom:6.0pt;tab-stops:list .5in;vertical-align:baseline;\">Partner with L&amp;D to design and deliver enterprise education that raises AI literacy and skills, including safe use of internal tools and third‑party systems</li><li style=\"background-color:white;color:#212121;line-height:normal;margin-bottom:6.0pt;tab-stops:list .5in;vertical-align:baseline;\">Create role‑based enablement (e.g., field, clinical, manufacturing) and an “AI champions” network to drive adoption and feedback loops</li><li style=\"background-color:white;color:#212121;line-height:normal;margin-bottom:6.0pt;tab-stops:list .5in;vertical-align:baseline;\">Publish practical guidance on prompt hygiene, data handling, intellectual property, and regulated‑use considerations; 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